#eye-tracking — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #eye-tracking, aggregated by home.social.
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DATE: June 7, 2026 at 06:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Eye-tracking study reveals visual preferences in toddlers with autism
Young children with autism tend to look less at faces and more at background details than their peers do, but taking objects out of their environment changes how they observe others. Removing toys from a social scene increases the amount of time all children spend looking at people, which could inform better designs for clinical and educational spaces. The findings were published in the Journal of Autism and Developmental Disorders.
Autism is a neurodevelopmental condition that influences communication, behavior, and social skills. One common feature of the condition in early childhood is a reduced tendency to look at the faces and eyes of other people. Psychologists use the term visual attention to describe how a person unconsciously decides where to direct their gaze in any given environment. When a child routinely focuses their eyes on toys or background details instead of human faces, they miss out on subtle social gestures and facial expressions.
Over time, a pattern of looking away from people can limit a child’s access to social learning experiences. Most young children naturally look toward faces because the human brain perceives social interactions as highly rewarding. When this natural drive to watch faces is altered, it can change the trajectory of how the brain develops its social and cognitive networks. Researchers want to know exactly what captures the attention of children with autism and whether changing the surrounding environment can alter their visual habits.
Psychologists use the concept of object value to explain why eyes naturally dart toward certain items in a busy room. The human brain continuously scans its surroundings and calculates how useful or relevant a piece of information might be for survival or social success. Typically, the brain assigns an exceptionally high value to human faces because expressions provide necessary behavioral clues. This internal valuation system dictates whether a person will prioritize looking at a social stimulus or a non-social object.
Isik Akin-Bulbul and Selda Ozdemir, a pair of researchers in the special education department at Hacettepe University in Turkey, noticed a gap in the existing research. Many studies test whether autistic children prefer looking at objects over people, but those studies often place a face on one side of a screen and an object on the other side. Real social interactions happen in chaotic rooms filled with mixed stimuli. The researchers wanted to see if the presence of toys inside a single dynamic scene would change how children allocate their visual attention.
To test this idea, the researchers enlisted 127 children between the ages of eighteen and thirty-six months. Fifty-three of the participants had a confirmed autism diagnosis, while the other seventy-four children were developing along expected timelines. The research team made sure the two groups were matched in age to provide a fair comparison. None of the children in the typically developing group had a family history of autism or siblings with developmental issues.
The team sat each child in front of a computer monitor equipped with an eye-tracking device. An eye tracker is a specialized camera that follows the exact movements of a person’s pupils in real time, calculating exactly where their gaze lands on a screen and how long it stays there. The technology allows researchers to record invisible, split-second changes in attention without asking the child to perform any specific tasks. The children simply had to watch a series of short videos on the monitor while sitting on a chair or in a parent’s lap.
The short video clips featured an adult and a child having a fun conversation. Three of the videos included objects, and three of the videos showed social interactions without any toys present. In the clips with objects, the actors played with a stuffed pelican, put toy people on a school bus, and tried to put a toy dog on the bus. In the clips without objects, the child ate a biscuit while the adult asked for a bite, the child offered the biscuit to the adult, and the two conversed about sharing a piece of chocolate.
Using analytical software, the research team mapped invisible boundaries over specific regions of the video screen. They designated these regions as the face area, the body area, the toy area, and the external background area. The software then calculated the total amount of time each child’s right eye lingered inside these marked boundaries. By comparing the viewing patterns, the researchers could uncover exactly how toys altered the children’s focus.
The results matched previous observations indicating that autistic children view environments differently than their naturally developing peers. Across all the videos, the children with autism spent much less time looking at faces than the typically developing children did. The children with autism also spent exceptionally high amounts of time looking at external background details. These differences existed no matter what was happening in the video clip.
When toys were visible in the scene, both groups of children found the objects highly distracting. Both the autistic children and the typically developing children spent the largest chunk of their time staring directly at the toys, prioritizing the objects over the people. Beyond the toys, the priority of gaze shifted depending on the group. The typically developing children looked at faces second, followed by bodies, and finally the background.
The children with autism showed a contrasting pattern when toys were present. After looking at the toys, the autistic children focused their eyes on the human bodies and the background scenery next. Faces were the last place they directed their visual attention in the scenes containing objects. This pattern reveals a pronounced tendency for autistic children to prefer non-social information in visually busy environments.
Taking the toys out of the video clips produced an immediate shift in visual behavior for all the participants. Without toys to distract them, both groups spent far more time staring at the faces and bodies of the actors on the screen. The gap in visual attention between the two groups remained similar, but removing objects universally elevated the amount of time everyone spent watching the social interaction.
Taking the toys out of the picture prompted the children with autism to look at bodies prior to looking at faces. The researchers suspect this might be due to the hand gestures and body movements the actors used while discussing the snacks. The findings suggest that autistic children might rely heavily on broader body language during social interactions, picking up cues from overall movements before observing specific facial features.
Parents and clinical professionals invest massive amounts of time into helping autistic toddlers build communication skills. Any imbalance in how a child allocates their visual focus can disrupt the success of these early interventions. Discovering exactly what redirects a child’s eyes during a play session can help adults create environments that naturally encourage social engagement. This research provides a direct window into how environmental complexity directly alters the ways neurodiverse children experience the world.
While the study provides a detailed look at how environments shape visual attention, the researchers noted a few limitations to their approach. To avoid reporting false findings, the team used rigorous mathematical corrections to analyze their data. They noted that this strict analytical strategy might have masked some subtle variations in how the children looked at the screens, meaning certain minor numerical differences were not statistically significant in the final calculations. Future studies might use a different balance of error control to capture more delicate changes in visual behavior.
Additionally, all the children involved in the experiment were already diagnosed with autism. Because they were assessed as older toddlers, the researchers could not track how these visual patterns originated. Understanding the developmental roots of autism will require testing infants from birth to see if and when they stop prioritizing faces over objects.
Despite the limitations, the findings carry practical weight for parents and educators working with neurodivergent toddlers. Because objects inevitably draw attention away from faces, clinical professionals might want to design early intervention spaces with fewer visual distractions. Managing the visual clutter in a room could gently encourage children with autism to spend more time observing the people around them.
The study, “Evaluation of the Social Attention Hypothesis: Do Children with Autism Prefer to See Objects Rather than People?,” was authored by Isik Akin-Bulbul and Selda Ozdemir.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AutismResearch #EyeTracking #SocialAttention #AutismEarlyIntervention #Neurodiversity #PediatricResearch #FacesOverObjects #AttentionPatterns #AutismStudies #ChildDevelopment
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DATE: June 7, 2026 at 06:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Eye-tracking study reveals visual preferences in toddlers with autism
Young children with autism tend to look less at faces and more at background details than their peers do, but taking objects out of their environment changes how they observe others. Removing toys from a social scene increases the amount of time all children spend looking at people, which could inform better designs for clinical and educational spaces. The findings were published in the Journal of Autism and Developmental Disorders.
Autism is a neurodevelopmental condition that influences communication, behavior, and social skills. One common feature of the condition in early childhood is a reduced tendency to look at the faces and eyes of other people. Psychologists use the term visual attention to describe how a person unconsciously decides where to direct their gaze in any given environment. When a child routinely focuses their eyes on toys or background details instead of human faces, they miss out on subtle social gestures and facial expressions.
Over time, a pattern of looking away from people can limit a child’s access to social learning experiences. Most young children naturally look toward faces because the human brain perceives social interactions as highly rewarding. When this natural drive to watch faces is altered, it can change the trajectory of how the brain develops its social and cognitive networks. Researchers want to know exactly what captures the attention of children with autism and whether changing the surrounding environment can alter their visual habits.
Psychologists use the concept of object value to explain why eyes naturally dart toward certain items in a busy room. The human brain continuously scans its surroundings and calculates how useful or relevant a piece of information might be for survival or social success. Typically, the brain assigns an exceptionally high value to human faces because expressions provide necessary behavioral clues. This internal valuation system dictates whether a person will prioritize looking at a social stimulus or a non-social object.
Isik Akin-Bulbul and Selda Ozdemir, a pair of researchers in the special education department at Hacettepe University in Turkey, noticed a gap in the existing research. Many studies test whether autistic children prefer looking at objects over people, but those studies often place a face on one side of a screen and an object on the other side. Real social interactions happen in chaotic rooms filled with mixed stimuli. The researchers wanted to see if the presence of toys inside a single dynamic scene would change how children allocate their visual attention.
To test this idea, the researchers enlisted 127 children between the ages of eighteen and thirty-six months. Fifty-three of the participants had a confirmed autism diagnosis, while the other seventy-four children were developing along expected timelines. The research team made sure the two groups were matched in age to provide a fair comparison. None of the children in the typically developing group had a family history of autism or siblings with developmental issues.
The team sat each child in front of a computer monitor equipped with an eye-tracking device. An eye tracker is a specialized camera that follows the exact movements of a person’s pupils in real time, calculating exactly where their gaze lands on a screen and how long it stays there. The technology allows researchers to record invisible, split-second changes in attention without asking the child to perform any specific tasks. The children simply had to watch a series of short videos on the monitor while sitting on a chair or in a parent’s lap.
The short video clips featured an adult and a child having a fun conversation. Three of the videos included objects, and three of the videos showed social interactions without any toys present. In the clips with objects, the actors played with a stuffed pelican, put toy people on a school bus, and tried to put a toy dog on the bus. In the clips without objects, the child ate a biscuit while the adult asked for a bite, the child offered the biscuit to the adult, and the two conversed about sharing a piece of chocolate.
Using analytical software, the research team mapped invisible boundaries over specific regions of the video screen. They designated these regions as the face area, the body area, the toy area, and the external background area. The software then calculated the total amount of time each child’s right eye lingered inside these marked boundaries. By comparing the viewing patterns, the researchers could uncover exactly how toys altered the children’s focus.
The results matched previous observations indicating that autistic children view environments differently than their naturally developing peers. Across all the videos, the children with autism spent much less time looking at faces than the typically developing children did. The children with autism also spent exceptionally high amounts of time looking at external background details. These differences existed no matter what was happening in the video clip.
When toys were visible in the scene, both groups of children found the objects highly distracting. Both the autistic children and the typically developing children spent the largest chunk of their time staring directly at the toys, prioritizing the objects over the people. Beyond the toys, the priority of gaze shifted depending on the group. The typically developing children looked at faces second, followed by bodies, and finally the background.
The children with autism showed a contrasting pattern when toys were present. After looking at the toys, the autistic children focused their eyes on the human bodies and the background scenery next. Faces were the last place they directed their visual attention in the scenes containing objects. This pattern reveals a pronounced tendency for autistic children to prefer non-social information in visually busy environments.
Taking the toys out of the video clips produced an immediate shift in visual behavior for all the participants. Without toys to distract them, both groups spent far more time staring at the faces and bodies of the actors on the screen. The gap in visual attention between the two groups remained similar, but removing objects universally elevated the amount of time everyone spent watching the social interaction.
Taking the toys out of the picture prompted the children with autism to look at bodies prior to looking at faces. The researchers suspect this might be due to the hand gestures and body movements the actors used while discussing the snacks. The findings suggest that autistic children might rely heavily on broader body language during social interactions, picking up cues from overall movements before observing specific facial features.
Parents and clinical professionals invest massive amounts of time into helping autistic toddlers build communication skills. Any imbalance in how a child allocates their visual focus can disrupt the success of these early interventions. Discovering exactly what redirects a child’s eyes during a play session can help adults create environments that naturally encourage social engagement. This research provides a direct window into how environmental complexity directly alters the ways neurodiverse children experience the world.
While the study provides a detailed look at how environments shape visual attention, the researchers noted a few limitations to their approach. To avoid reporting false findings, the team used rigorous mathematical corrections to analyze their data. They noted that this strict analytical strategy might have masked some subtle variations in how the children looked at the screens, meaning certain minor numerical differences were not statistically significant in the final calculations. Future studies might use a different balance of error control to capture more delicate changes in visual behavior.
Additionally, all the children involved in the experiment were already diagnosed with autism. Because they were assessed as older toddlers, the researchers could not track how these visual patterns originated. Understanding the developmental roots of autism will require testing infants from birth to see if and when they stop prioritizing faces over objects.
Despite the limitations, the findings carry practical weight for parents and educators working with neurodivergent toddlers. Because objects inevitably draw attention away from faces, clinical professionals might want to design early intervention spaces with fewer visual distractions. Managing the visual clutter in a room could gently encourage children with autism to spend more time observing the people around them.
The study, “Evaluation of the Social Attention Hypothesis: Do Children with Autism Prefer to See Objects Rather than People?,” was authored by Isik Akin-Bulbul and Selda Ozdemir.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AutismResearch #EyeTracking #SocialAttention #AutismEarlyIntervention #Neurodiversity #PediatricResearch #FacesOverObjects #AttentionPatterns #AutismStudies #ChildDevelopment
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Trójwymiarowe modele i mapy bez gogli VR. Nowy ekran Sony zmienia pracę inżynierów
Praca z chmurami punktów, cyfrowymi bliźniakami miast i zaawansowanymi danymi przestrzennymi na płaskim ekranie często przypomina ocenianie rzeźby na podstawie fotografii – brakuje w tym kluczowego elementu głębi.
Branża technologiczna od lat szukała alternatywy dla niewygodnych gogli VR, a rozwiązaniem okazują się monitory nowej generacji. Urządzenia takie jak Sony Spatial Reality Display wprowadzają trójwymiarowy obraz bezpośrednio na biurka geodetów, architektów i planistów przestrzennych.
Jak działa holograficzny efekt bez okularów?
Wyświetlanie wiarygodnego obrazu 3D bez konieczności zakładania jakichkolwiek akcesoriów na głowę to wynik połączenia zaawansowanej optyki i technologii śledzenia wzroku (eye-trackingu). Monitor Sony Spatial Reality Display wykorzystuje wbudowany czujnik wizyjny, który w czasie rzeczywistym monitoruje pozycję źrenic użytkownika w trzech osiach (poziomej, pionowej i w głąb).
Sony ELF-SR2 to przyszłość, którą widzieliśmy na własne oczy. Ten monitor 3D nie potrzebuje okularów
Dzięki precyzyjnym informacjom o tym, skąd dokładnie patrzy obserwator, oprogramowanie generuje dwa niezależne widoki sceny. Nałożony na panel LCD specjalny układ mikrosoczewek precyzyjnie rozdziela światło, kierując odrębny obraz do lewego i prawego oka. Efekt? Gdy użytkownik porusza głową, perspektywa wyświetlanego obiektu zmienia się płynnie i naturalnie, dokładnie tak, jak przy oglądaniu fizycznej makiety. Całość wyświetlana jest w rozdzielczości 4K przy zachowaniu szerokiej palety barw przestrzeni Adobe RGB.
Cyfrowe bliźniaki i infrastruktura pod pełną kontrolą
Technologia ta znalazła swoje praktyczne zastosowanie w szeroko pojętej geoinformatyce. Została ona zaprezentowana profesjonalistom podczas V Akademii Kartografii i Geoinformatyki we Wrocławiu, pokazując, jak eliminuje ograniczenia tradycyjnych ekranów 2D.
Dla inżynierów i urbanistów to potężne narzędzie do analizy modeli BIM (Building Information Modeling) oraz tak zwanych cyfrowych bliźniaków (Digital Twin). Połączenie trójwymiarowej bryły budynku z płynącymi na żywo danymi z czujników (np. o zużyciu energii czy temperaturze) na ekranie przestrzennym ułatwia wczesne wykrywanie kolizji w projektach instalacji. Pozwala to na szybsze wprowadzanie poprawek jeszcze przed wylaniem pierwszych fundamentów. Z kolei geodeci zyskują znacznie bardziej przejrzyste środowisko do wizualnej kontroli skomplikowanych modeli fotogrametrycznych i chmur punktów.
Koniec z drogimi makietami fizycznymi
Wdrożenie ekranów przestrzennych rozwiązuje jeszcze jeden istotny problem biznesowy: komunikację na linii projektant-inwestor. Złożone zjawiska przestrzenne, symulacje środowiskowe czy plany zagospodarowania terenu są trudne do zinterpretowania dla osób bez wykształcenia technicznego.
Możliwość „zajrzenia” do wnętrza projektowanej infrastruktury bez zakładania gogli ułatwia konsultacje społeczne i prezentacje dla zarządów miast. W administracji publicznej i zarządzaniu kryzysowym taka forma wizualizacji pozwala na błyskawiczną i bezbłędną ocenę sytuacji topograficznej. Przyspiesza to procesy decyzyjne i znacząco redukuje koszty, eliminując potrzebę budowania czasochłonnych i drogich, fizycznych prototypów i makiet.
#BIM #DigitalTwin #eyeTracking #geodezja #geoinformatyka #modelePrzestrzenne #monitor3D #planowaniePrzestrzenne #sony #technologieWizualne -
Trójwymiarowe modele i mapy bez gogli VR. Nowy ekran Sony zmienia pracę inżynierów
Praca z chmurami punktów, cyfrowymi bliźniakami miast i zaawansowanymi danymi przestrzennymi na płaskim ekranie często przypomina ocenianie rzeźby na podstawie fotografii – brakuje w tym kluczowego elementu głębi.
Branża technologiczna od lat szukała alternatywy dla niewygodnych gogli VR, a rozwiązaniem okazują się monitory nowej generacji. Urządzenia takie jak Sony Spatial Reality Display wprowadzają trójwymiarowy obraz bezpośrednio na biurka geodetów, architektów i planistów przestrzennych.
Jak działa holograficzny efekt bez okularów?
Wyświetlanie wiarygodnego obrazu 3D bez konieczności zakładania jakichkolwiek akcesoriów na głowę to wynik połączenia zaawansowanej optyki i technologii śledzenia wzroku (eye-trackingu). Monitor Sony Spatial Reality Display wykorzystuje wbudowany czujnik wizyjny, który w czasie rzeczywistym monitoruje pozycję źrenic użytkownika w trzech osiach (poziomej, pionowej i w głąb).
Sony ELF-SR2 to przyszłość, którą widzieliśmy na własne oczy. Ten monitor 3D nie potrzebuje okularów
Dzięki precyzyjnym informacjom o tym, skąd dokładnie patrzy obserwator, oprogramowanie generuje dwa niezależne widoki sceny. Nałożony na panel LCD specjalny układ mikrosoczewek precyzyjnie rozdziela światło, kierując odrębny obraz do lewego i prawego oka. Efekt? Gdy użytkownik porusza głową, perspektywa wyświetlanego obiektu zmienia się płynnie i naturalnie, dokładnie tak, jak przy oglądaniu fizycznej makiety. Całość wyświetlana jest w rozdzielczości 4K przy zachowaniu szerokiej palety barw przestrzeni Adobe RGB.
Cyfrowe bliźniaki i infrastruktura pod pełną kontrolą
Technologia ta znalazła swoje praktyczne zastosowanie w szeroko pojętej geoinformatyce. Została ona zaprezentowana profesjonalistom podczas V Akademii Kartografii i Geoinformatyki we Wrocławiu, pokazując, jak eliminuje ograniczenia tradycyjnych ekranów 2D.
Dla inżynierów i urbanistów to potężne narzędzie do analizy modeli BIM (Building Information Modeling) oraz tak zwanych cyfrowych bliźniaków (Digital Twin). Połączenie trójwymiarowej bryły budynku z płynącymi na żywo danymi z czujników (np. o zużyciu energii czy temperaturze) na ekranie przestrzennym ułatwia wczesne wykrywanie kolizji w projektach instalacji. Pozwala to na szybsze wprowadzanie poprawek jeszcze przed wylaniem pierwszych fundamentów. Z kolei geodeci zyskują znacznie bardziej przejrzyste środowisko do wizualnej kontroli skomplikowanych modeli fotogrametrycznych i chmur punktów.
Koniec z drogimi makietami fizycznymi
Wdrożenie ekranów przestrzennych rozwiązuje jeszcze jeden istotny problem biznesowy: komunikację na linii projektant-inwestor. Złożone zjawiska przestrzenne, symulacje środowiskowe czy plany zagospodarowania terenu są trudne do zinterpretowania dla osób bez wykształcenia technicznego.
Możliwość „zajrzenia” do wnętrza projektowanej infrastruktury bez zakładania gogli ułatwia konsultacje społeczne i prezentacje dla zarządów miast. W administracji publicznej i zarządzaniu kryzysowym taka forma wizualizacji pozwala na błyskawiczną i bezbłędną ocenę sytuacji topograficznej. Przyspiesza to procesy decyzyjne i znacząco redukuje koszty, eliminując potrzebę budowania czasochłonnych i drogich, fizycznych prototypów i makiet.
#BIM #DigitalTwin #eyeTracking #geodezja #geoinformatyka #modelePrzestrzenne #monitor3D #planowaniePrzestrzenne #sony #technologieWizualne -
DATE: May 26, 2026 at 12:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Attractive faces draw our gaze but fail to hijack our peripheral attention
URL: https://www.psypost.org/attractive-faces-draw-our-gaze-but-fail-to-hijack-our-hidden-attention/
Human faces possess social traits that easily capture the attention of other people. A recent experiment found that facial attractiveness reliably draws direct eye movements, while hidden bursts of mental focus remain unaffected by a person’s level of physical beauty. The study was published in the journal Attention, Perception, & Psychophysics.
To understand exactly how people process visual information, researchers divide human attention into two distinct categories. Overt attention happens when someone actively moves their eyes to look at an object or a person within their environment. This is a visible physical action that signals intent to anyone watching.
Covert attention operates differently, occurring entirely without actual eye movements. A person can maintain their gaze straight ahead while shifting their mental focus to objects or events happening in their peripheral vision. This concealed process helps individuals gather information from a room without making their interest obvious to those around them.
Physical attractiveness impacts a wide array of social behaviors, ranging from personality judgments to moral decisions. From an evolutionary perspective, beauty is often interpreted by the brain as a possible marker of health and genetic fitness. Because of this biological relevance, human perceptual systems are highly attuned to physical appeal.
Effie J. Pereira, a researcher at Queen’s University in Canada, conducted the study with Jelena Ristic of McGill University. They designed two specialized laboratory experiments to isolate exactly how human attention reacts to visual markers of physical beauty. They aimed to test the idea that moving the eyes represents a social decision, while silently monitoring the periphery acts as an invisible information gathering system.
In the first experiment, Pereira and Ristic tested covert attention using a classic visual tracking test. They recruited thirty participants and asked them to sit in front of a computer monitor. The participants were explicitly instructed to keep their eyes fixed on a white cross positioned in the center of the screen.
During this task, a pair of images flashed on the screen for just a quarter of a second. One image featured a human face, while the other was an everyday object, like a lamp or a plant. These images were matched for brightness and placed against identical room backgrounds to ensure no random visual differences distracted the viewers.
The researchers chose to pair faces with objects instead of simply comparing beautiful faces to unattractive ones. This methodology provided a baseline to assess how strongly the brain prioritizes social information over nonsocial information. The everyday objects acted as a neutral anchor for the participants’ attention.
The faces used in the experiment ranged in physical beauty, as rated by an independent group of volunteers. Shortly after the face and object pairing disappeared, a small yellow shape appeared on the screen. This target shape, either a circle or a square, briefly occupied the exact location where either the face or the object had just been displayed.
Participants were asked to press a specific keyboard button as quickly as possible to identify whether they saw a circle or a square. Because the participants were required to keep their eyes locked on the center cross, their manual response times served as an accurate measure of covert attention.
If a person’s mental focus was automatically drawn to beautiful faces, they would instinctively process visual information on that side of the screen faster. Consequently, they would correctly identify shapes that appeared in the same spot as an attractive face with much greater speed.
This was not what the researchers uncovered within the data. The results of the first experiment were not statistically significant in showing any automatic bias. Participants did not react faster to shapes that replaced faces compared to shapes that replaced inanimate objects. Even when a face was rated as highly attractive, it completely failed to speed up the participants’ manual responses.
The design of the second experiment shifted to measure overt attention. A new group of thirty participants completed the exact same shape-identification task. This time, they were given no instructions regarding where they should hold their gaze.
Instead, participants were allowed to look around the screen naturally while a specialized, high-speed camera tracked their movements. The researchers used this device to record exactly where the participants darted their vision when the paired images flashed on the monitor.
This subtle change in the testing environment yielded a strictly different pattern of behavior. In the fraction of a second that the pictures were visible, participants spontaneously launched eye movements away from the center of the screen. The eye-tracking data revealed a reliable preference for gazing directly at the human faces rather than the everyday objects.
The specialized software allowed the researchers to break the images down into specific zones of visual interest. They tracked whether the participants looked at the eyes or the mouth of the faces, or the top or bottom halves of the objects. The preference for looking at eyes was especially strong when the faces were presented completely upright, reinforcing the idea that normal facial structures command our visual focus.
More importantly, the eye-tracking data revealed that beauty modulated this behavior. When a face was rated as highly attractive, participants were even more likely to look directly at it. As the physical attractiveness of a face increased, the frequency of eye movements toward that face also measurably increased.
These outcomes highlight a functional separation between hidden mental focus and active physical looking. The data suggests that covert attention acts as a neutral scanning tool. It takes in the environment without prioritizing beauty, allowing humans to monitor their surroundings without betraying their intentions.
In contrast, actively moving the eyes to gaze at an attractive face is an overt action tied to social communication. Directing vision toward another person signals a potential for interaction. Attractiveness serves as a visual cue that might prompt people to take an interest and communicate that interest openly.
The study incorporates several specific parameters that help define the limits of its findings. The sample of volunteers across both experiments consisted almost entirely of women. Observers of opposing genders may prioritize visual features differently when appraising physical beauty.
Future research will need to incorporate larger, more varied groups of participants to see if these visual habits apply consistently across all demographics. It would also be highly informative to explore how observer preferences, such as sexual orientation, influence natural eye movements in similar laboratory settings.
The researchers noted that the overall frequency of eye movements toward the images was relatively low. While this aligns with how frequently people glance at strangers in the real world, laboratory settings cannot entirely replicate natural human situations. Looking at someone in person carries an interactive weight that is simply absent when viewing photographs on a digital display.
Upcoming studies might utilize live interactions or group activities to better trace how people parse social information. Reviewing these visual habits in physical environments could reveal exactly what type of information humans try to extract when they decide to catch someone else’s eye.
The study, “Beauty in the eye of the beholder: Attention to attractive faces dissociates across covert and overt measures,” was authored by Effie J. Pereira and Jelena Ristic.
URL: https://www.psypost.org/attractive-faces-draw-our-gaze-but-fail-to-hijack-our-hidden-attention/
-------------------------------------------------
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-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AttentionResearch #CovertVsOvertAttention #FacialAttractiveness #EyeTracking #VisualAttention #SocialCognition #PerceptionPsychophysics #EyesAndGaze #HumanAttention #BeautyPerception
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DATE: May 26, 2026 at 12:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Attractive faces draw our gaze but fail to hijack our peripheral attention
URL: https://www.psypost.org/attractive-faces-draw-our-gaze-but-fail-to-hijack-our-hidden-attention/
Human faces possess social traits that easily capture the attention of other people. A recent experiment found that facial attractiveness reliably draws direct eye movements, while hidden bursts of mental focus remain unaffected by a person’s level of physical beauty. The study was published in the journal Attention, Perception, & Psychophysics.
To understand exactly how people process visual information, researchers divide human attention into two distinct categories. Overt attention happens when someone actively moves their eyes to look at an object or a person within their environment. This is a visible physical action that signals intent to anyone watching.
Covert attention operates differently, occurring entirely without actual eye movements. A person can maintain their gaze straight ahead while shifting their mental focus to objects or events happening in their peripheral vision. This concealed process helps individuals gather information from a room without making their interest obvious to those around them.
Physical attractiveness impacts a wide array of social behaviors, ranging from personality judgments to moral decisions. From an evolutionary perspective, beauty is often interpreted by the brain as a possible marker of health and genetic fitness. Because of this biological relevance, human perceptual systems are highly attuned to physical appeal.
Effie J. Pereira, a researcher at Queen’s University in Canada, conducted the study with Jelena Ristic of McGill University. They designed two specialized laboratory experiments to isolate exactly how human attention reacts to visual markers of physical beauty. They aimed to test the idea that moving the eyes represents a social decision, while silently monitoring the periphery acts as an invisible information gathering system.
In the first experiment, Pereira and Ristic tested covert attention using a classic visual tracking test. They recruited thirty participants and asked them to sit in front of a computer monitor. The participants were explicitly instructed to keep their eyes fixed on a white cross positioned in the center of the screen.
During this task, a pair of images flashed on the screen for just a quarter of a second. One image featured a human face, while the other was an everyday object, like a lamp or a plant. These images were matched for brightness and placed against identical room backgrounds to ensure no random visual differences distracted the viewers.
The researchers chose to pair faces with objects instead of simply comparing beautiful faces to unattractive ones. This methodology provided a baseline to assess how strongly the brain prioritizes social information over nonsocial information. The everyday objects acted as a neutral anchor for the participants’ attention.
The faces used in the experiment ranged in physical beauty, as rated by an independent group of volunteers. Shortly after the face and object pairing disappeared, a small yellow shape appeared on the screen. This target shape, either a circle or a square, briefly occupied the exact location where either the face or the object had just been displayed.
Participants were asked to press a specific keyboard button as quickly as possible to identify whether they saw a circle or a square. Because the participants were required to keep their eyes locked on the center cross, their manual response times served as an accurate measure of covert attention.
If a person’s mental focus was automatically drawn to beautiful faces, they would instinctively process visual information on that side of the screen faster. Consequently, they would correctly identify shapes that appeared in the same spot as an attractive face with much greater speed.
This was not what the researchers uncovered within the data. The results of the first experiment were not statistically significant in showing any automatic bias. Participants did not react faster to shapes that replaced faces compared to shapes that replaced inanimate objects. Even when a face was rated as highly attractive, it completely failed to speed up the participants’ manual responses.
The design of the second experiment shifted to measure overt attention. A new group of thirty participants completed the exact same shape-identification task. This time, they were given no instructions regarding where they should hold their gaze.
Instead, participants were allowed to look around the screen naturally while a specialized, high-speed camera tracked their movements. The researchers used this device to record exactly where the participants darted their vision when the paired images flashed on the monitor.
This subtle change in the testing environment yielded a strictly different pattern of behavior. In the fraction of a second that the pictures were visible, participants spontaneously launched eye movements away from the center of the screen. The eye-tracking data revealed a reliable preference for gazing directly at the human faces rather than the everyday objects.
The specialized software allowed the researchers to break the images down into specific zones of visual interest. They tracked whether the participants looked at the eyes or the mouth of the faces, or the top or bottom halves of the objects. The preference for looking at eyes was especially strong when the faces were presented completely upright, reinforcing the idea that normal facial structures command our visual focus.
More importantly, the eye-tracking data revealed that beauty modulated this behavior. When a face was rated as highly attractive, participants were even more likely to look directly at it. As the physical attractiveness of a face increased, the frequency of eye movements toward that face also measurably increased.
These outcomes highlight a functional separation between hidden mental focus and active physical looking. The data suggests that covert attention acts as a neutral scanning tool. It takes in the environment without prioritizing beauty, allowing humans to monitor their surroundings without betraying their intentions.
In contrast, actively moving the eyes to gaze at an attractive face is an overt action tied to social communication. Directing vision toward another person signals a potential for interaction. Attractiveness serves as a visual cue that might prompt people to take an interest and communicate that interest openly.
The study incorporates several specific parameters that help define the limits of its findings. The sample of volunteers across both experiments consisted almost entirely of women. Observers of opposing genders may prioritize visual features differently when appraising physical beauty.
Future research will need to incorporate larger, more varied groups of participants to see if these visual habits apply consistently across all demographics. It would also be highly informative to explore how observer preferences, such as sexual orientation, influence natural eye movements in similar laboratory settings.
The researchers noted that the overall frequency of eye movements toward the images was relatively low. While this aligns with how frequently people glance at strangers in the real world, laboratory settings cannot entirely replicate natural human situations. Looking at someone in person carries an interactive weight that is simply absent when viewing photographs on a digital display.
Upcoming studies might utilize live interactions or group activities to better trace how people parse social information. Reviewing these visual habits in physical environments could reveal exactly what type of information humans try to extract when they decide to catch someone else’s eye.
The study, “Beauty in the eye of the beholder: Attention to attractive faces dissociates across covert and overt measures,” was authored by Effie J. Pereira and Jelena Ristic.
URL: https://www.psypost.org/attractive-faces-draw-our-gaze-but-fail-to-hijack-our-hidden-attention/
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AttentionResearch #CovertVsOvertAttention #FacialAttractiveness #EyeTracking #VisualAttention #SocialCognition #PerceptionPsychophysics #EyesAndGaze #HumanAttention #BeautyPerception
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IIT-Madras Launches Ocular Tracking Lab to Quantify Dyslexic Reading Barriers
IIT Madras opens a new lab using eye-tracking to find reading problems for children with dyslexia. This will help make books easier to read.
#IITMadras, #Dyslexia, #EyeTracking, #Education, #LearningDisability
https://newsletter.tf/iit-madras-lab-helps-dyslexic-reading/
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A new lab at IIT Madras is using special cameras to watch how children with dyslexia read. This is the first time this technology is being used to help make reading materials simpler for them.
#IITMadras, #Dyslexia, #EyeTracking, #Education, #LearningDisability
https://newsletter.tf/iit-madras-lab-helps-dyslexic-reading/ -
Summer School: “Advanced Methods in Eye Tracking”
From June 22 to 23, 2026, the summer school “Advanced Methods in Eye Tracking” will take place at the University of East Anglia, UK.
See the poster for details. The announcement reads:
#CognitiveScience #EyeTracking #Psychology #SocialScienceThis interdisciplinary summer school will offer Phd students and other early career researchers from psychology and across the cognitive and social sciences advanced training in all aspects of eye tracking, and a clear interdisciplinary understanding of a range of research questions that can be addressed by eye tracking. It will be conducted over two days, with the first day consisting of research talks and the second day consisting of hands-on lab work and skill building. The first day is being offered as a hybrid event with talks being streamed live, for students wanting to attend online only. The second day is “in person” only.
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We are excited to share that two of our papers have been accepted to ETRA 2026!
1. QualitEye: Public and Privacy-preserving Gaze Data Quality Verification
Mayar Elfares, Pascal Reisert, Ralf Küsters, Andreas Bulling2. Learning Alignments of Human Gaze and Fine-grained Task Descriptions
Takumi Nishiyasu, Zhiming Hu, Andreas Bulling, Yoichi SatoCongratulations to all authors!
For preprints and updates, feel free to visit our website: https://www.collaborative-ai.org/
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We are excited to share that two of our papers have been accepted to ETRA 2026!
1. QualitEye: Public and Privacy-preserving Gaze Data Quality Verification
Mayar Elfares, Pascal Reisert, Ralf Küsters, Andreas Bulling2. Learning Alignments of Human Gaze and Fine-grained Task Descriptions
Takumi Nishiyasu, Zhiming Hu, Andreas Bulling, Yoichi SatoCongratulations to all authors!
For preprints and updates, feel free to visit our website: https://www.collaborative-ai.org/
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FYI: Lumen Research brings attention measurement to Netflix ads in five European markets: Lumen Research partners with Netflix to deliver eye-tracking attention measurement for CTV, desktop, and mobile ads in the UK, Germany, France, Italy, and Spain. https://ppc.land/lumen-research-brings-attention-measurement-to-netflix-ads-in-five-european-markets/ #AttentionMeasurement #NetflixAds #DigitalMarketing #CTV #EyeTracking
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FYI: Lumen Research brings attention measurement to Netflix ads in five European markets: Lumen Research partners with Netflix to deliver eye-tracking attention measurement for CTV, desktop, and mobile ads in the UK, Germany, France, Italy, and Spain. https://ppc.land/lumen-research-brings-attention-measurement-to-netflix-ads-in-five-european-markets/ #AttentionMeasurement #NetflixAds #DigitalMarketing #CTV #EyeTracking
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ICYMI: Lumen Research brings attention measurement to Netflix ads in five European markets: Lumen Research partners with Netflix to deliver eye-tracking attention measurement for CTV, desktop, and mobile ads in the UK, Germany, France, Italy, and Spain. https://ppc.land/lumen-research-brings-attention-measurement-to-netflix-ads-in-five-european-markets/ #LumenResearch #NetflixAds #AttentionMeasurement #EyeTracking #CTV
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We benchmarked the direct competitor of the EyeLink 1000 Plus: VPixx' TRACKPixx3 eye-tracker. Across 8 tasks (see graph), accuracy was mostly similar, especially at the fixation level. A key difference emerged at the sample level: TRACKPixx3 uses an undocumented internal filter which yields smoother sample data but may affect saccade kinematics and fixation onsets. Check the paper for fine-grained results:
https://osf.io/preprints/psyarxiv/vucg3_v1
#EyeTracking #VisionScience #Psycholinguistics #ResearchMethods
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New preprint on spatial bias in visual attention and how to counter it. In a two-alternative forced choice task, we show a 300% increase in statistical power when left-bias is neutralized. More is possible. Implications for visual world paradigm and perhaps the maze task.
https://osf.io/preprints/psyarxiv/p8gz7_v1
This started as a student project in our eye-tracking course. Amazing to see what cool things students will put together if you let them.
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¡Patente Apple bomba para Vision Pro! 👀
Calibración de mirada en tiempo real: automática, usando iconos normales, sin sesiones dedicadas. Se adapta a movimientos y ajuste del headset.
Más precisión y comodidad total. 🔥
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New global research shows eye movements reveal how native languages shape reading
#Science #Language #Reading #Immigration #Education #Research #Multilingual #Literacy #EyeTracking #Learning #GlobalStudies #Migration #LanguageSkills #EyeMovement
https://the-14.com/new-global-research-shows-eye-movements-reveal-how-native-languages-shape-reading/ -
New global research shows eye movements reveal how native languages shape reading
#Science #Language #Reading #Immigration #Education #Research #Multilingual #Literacy #EyeTracking #Learning #GlobalStudies #Migration #LanguageSkills #EyeMovement
https://the-14.com/new-global-research-shows-eye-movements-reveal-how-native-languages-shape-reading/ -
Công nghệ eye-tracking đang mở ra kỷ nguyên mới cho web developers! 🎯 Từ tăng khả năng tiếp cận cho người khuyết tật đến tối ưu UX, eye-tracking giúp tạo trải nghiệm tương tác trực quan hơn. Với WebGazer.js, bạn có thể bắt đầu xây dựng ứng dụng web nhận diện ánh mắt chỉ qua webcam. Từ gaming đến phân tích hành vi người dùng, tiềm năng là vô hạn! Hãy thử nghiệm và chia sẻ ý tưởng của bạn. #EyeTracking #WebDevelopment #Accessibility #JavaScript #TechInnovation #UXDesign #WebApps #Technology #Soft
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# Hospiz-Projekt geht endlich weiter
Wir haben endlich den technischen Dienstleister des Hospizes ranbekommen, um uns ans Personalrufsystem anzuschließen. Er meinte, das wird nicht ganz so einfach sein. Ist wohl kein einfaches DECT-System. (Vielleicht doch mit Servos den Knopf drücken?)
# Tutorial für Optikey
Wir bereiten gerade das erste große Tutorial vor: Eine Optikey-Einführung, in Video- und Textform.
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🚨 Publication alert 🚨
Get my new open-access #eyetracking
study on user #comments and their effect on journalistic #quality perception here:https://doi.org/10.5771/2192-4007-2025-3-339
We find that (1) high-quality articles are more likely to captivate readers’ interest and maintain their attention throughout the reading process than low-quality ones, (2) positive reader comments affect the perception of specific journalistic quality dimensions (e.g., transparency and diversity).
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🚨 Publication alert 🚨
Get my new open-access #eyetracking
study on user #comments and their effect on journalistic #quality perception here:https://doi.org/10.5771/2192-4007-2025-3-339
We find that (1) high-quality articles are more likely to captivate readers’ interest and maintain their attention throughout the reading process than low-quality ones, (2) positive reader comments affect the perception of specific journalistic quality dimensions (e.g., transparency and diversity).
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Wie unterscheiden sich Lehramtsstudierende und erfahrene Lehrkräfte im Erkennen von Unterrichtsstörungen? Ann-Sophie Grub, Antje Biermann und Roland Brünken analysieren Eye-Tracking-Studien zur professionellen Wahrnehmung von Klassenführung – mit Fokus auf „Noticing“ und „Reasoning“.
#ClassroomManagement #Lehrerbildung #ProfessionalVision #EyeTracking #Bildungsforschung
#peDOCS
⬇️
https://www.pedocs.de/frontdoor.php?source_opus=21187&pk_campaign=SocMed&pk_kwd=mastodonsource_opus=21704 -
Wie unterscheiden sich Lehramtsstudierende und erfahrene Lehrkräfte im Erkennen von Unterrichtsstörungen? Ann-Sophie Grub, Antje Biermann und Roland Brünken analysieren Eye-Tracking-Studien zur professionellen Wahrnehmung von Klassenführung – mit Fokus auf „Noticing“ und „Reasoning“.
#ClassroomManagement #Lehrerbildung #ProfessionalVision #EyeTracking #Bildungsforschung
#peDOCS
⬇️
https://www.pedocs.de/frontdoor.php?source_opus=21187&pk_campaign=SocMed&pk_kwd=mastodonsource_opus=21704 -
Die GPN war klasse! Danke euch allen! 💜
Hier unser Vortrag:
FOSS-Eye-Tracking für Menschen mit ALSAußerdem, wer mitmachen will, gerne melden: https://eyes-on-disabilities.org/de/06-miscellaneous/contact.html
Was zum Beispiel gebraucht wird:
- Texte schreiben
- Setups ausprobieren
- Software einfacher machen
- Weitere Soft- und Hardware finden
- Kopfbewegung lösen
- 3D-Modellierung und –Druck
- Mobile-Dev -
Wir halten einen Vortrag bei der GPN 🤩: https://cfp.gulas.ch/gpn23/talk/QXC9UX/
2025-06-22 13:45–14:05, ZKM MedientheaterAußerdem besuchen wir nächsten Monat unser erstes Hospiz.
#gpn23 #EyesOnDisabilities #eyetracking #headtracking #disabilities #inklusion
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»Here’s what’s inside #Meta’s experimental new smart glasses: with advanced #eyetracking and #handtracking capabilities.« https://www.theverge.com/news/679707/meta-aria-gen-2-upgrades-specs-ai?ARglass.es #ARglasses #SmartGlasses #AugmentedReality #AR
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»Here’s what’s inside #Meta’s experimental new smart glasses: with advanced #eyetracking and #handtracking capabilities.« https://www.theverge.com/news/679707/meta-aria-gen-2-upgrades-specs-ai?ARglass.es #ARglasses #SmartGlasses #AugmentedReality #AR
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What's better for reading research? EyeLink 1000+ or Portable Duo? I know the EyeLink well, but didn't have the chance to work with the Duo. #eyetracking
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What's better for reading research? EyeLink 1000+ or Portable Duo? I know the EyeLink well, but didn't have the chance to work with the Duo. #eyetracking
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New #accessibility rollout from #Slack: simplified layout mode in the desktop app.
From the blog post[1], simplified layout mode "helps you focus by showing one section of Slack at a time," and "minimizes distractions which may benefit single-taskers and people using assistive technology."
This was originally built to "make Slack easier to use for #eyeTracking and #headMouse users," but has since been determined to also benefit "other switch users as well as: #screenReader users (by reducing the amount of stuff on screen at once), #neurodivergent people who find Slack overwhelming or distracting, and even people with limited screen real estate."[2]
[1] https://slack.com/help/articles/41214514885907-Use-simplified-layout-mode-in-Slack?locale=en-US
[2] https://web-a11y.slack.com/archives/C042TSFGN/p1747324169693879
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New #accessibility rollout from #Slack: simplified layout mode in the desktop app.
From the blog post[1], simplified layout mode "helps you focus by showing one section of Slack at a time," and "minimizes distractions which may benefit single-taskers and people using assistive technology."
This was originally built to "make Slack easier to use for #eyeTracking and #headMouse users," but has since been determined to also benefit "other switch users as well as: #screenReader users (by reducing the amount of stuff on screen at once), #neurodivergent people who find Slack overwhelming or distracting, and even people with limited screen real estate."[2]
[1] https://slack.com/help/articles/41214514885907-Use-simplified-layout-mode-in-Slack?locale=en-US
[2] https://web-a11y.slack.com/archives/C042TSFGN/p1747324169693879
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Journelly for iOS: like tweeting but for your eyes only (in plain text)
https://xenodium.com/journelly-like-tweeting-but-for-your-eyes-only
#HackerNews #Journelly #iOS #Journaling #App #Privacy #Tech #News #EyeTracking
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Journelly for iOS: like tweeting but for your eyes only (in plain text)
https://xenodium.com/journelly-like-tweeting-but-for-your-eyes-only
#HackerNews #Journelly #iOS #Journaling #App #Privacy #Tech #News #EyeTracking
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Нейрофизиология внимания: как алгоритмы и мозг обрабатывают первые 3 секунды видео
Биология клипового мышления: почему 400 мс решают всё Исследования MIT (2023) доказали: мозг принимает решение "смотреть/не смотреть" за 400-800 мс. Это результат эволюции — наши предки оценивали опасность за доли секунды.
https://habr.com/ru/articles/896198/
#удержание_внимания #retention_rate #лгоритмы_рекомендаций #eyetracking #префронтальная_кора
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‼ Announcement: Online Unfold.jl workshop ‼
📅 09.05.2025
💶 Free!
👉🏼 https://github.com/s-ccs/workshop_unfold_2025
❓ rERPs, mass univariate models & deconvolution!If you are interested in combined #EEG / #EyeTracking, in natural experiments, sequential sampling models + EEG (e.g. DriftDiffusion), #VR+EEG, - this could be a useful workshop for you!
#EEG #linearmodels #statistics
#julialangOrganized with Romy Frömer (CHBH)
and the S-CCS lab (@uni_stuttgart) -
‼ Announcement: Online Unfold.jl workshop ‼
📅 09.05.2025
💶 Free!
👉🏼 https://github.com/s-ccs/workshop_unfold_2025
❓ rERPs, mass univariate models & deconvolution!If you are interested in combined #EEG / #EyeTracking, in natural experiments, sequential sampling models + EEG (e.g. DriftDiffusion), #VR+EEG, - this could be a useful workshop for you!
#EEG #linearmodels #statistics
#julialangOrganized with Romy Frömer (CHBH)
and the S-CCS lab (@uni_stuttgart) -
Eine KI, die mathematische Fähigkeiten von Kindern beurteilen und individuelle Hilfestellung bieten kann: Das verspricht das Projekt KI-ALF.
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Eine KI, die mathematische Fähigkeiten von Kindern beurteilen und individuelle Hilfestellung bieten kann: Das verspricht das Projekt KI-ALF.
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Eine KI, die mathematische Fähigkeiten von Kindern beurteilen und individuelle Hilfestellung bieten kann: Das verspricht das Projekt KI-ALF.
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Eine KI, die mathematische Fähigkeiten von Kindern beurteilen und individuelle Hilfestellung bieten kann: Das verspricht das Projekt KI-ALF.
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Excited to receive a new GazePoint GP3 eyetracker today for our testing lab!
This eyetracker is made in Canada, so if you're a researcher looking for one, consider supporting Canadian tech by checking out GazePoint or SR Research
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#Design #Explainers
F-shaped reading · Often applies to content pages on the web https://ilo.im/162ort_____
#EyeTracking #Reading #Skimming #Content #Layout #Website #ProductDesign #UiDesign #WebDesign -
»#Smartglasses: #Google wants to take over #eyetracking start-up. Eye tracking – but without a camera. #AdHawk Microsystems is working on this.« https://www.heise.de/en/news/Smart-glasses-Google-wants-to-take-over-eye-tracking-start-up-10312780.html?ARglass.es #ARglasses #SmartGlasses #AugmentedReality #AR
