#learnability — Public Fediverse posts

A new product.

The client wonders: is the interaction paradigm too hard for the intended customers?

They test it—on colleagues—who "confirm" the design works.

Later, in the hands of actual target users, the interaction paradigm fails. (SUS usability was 20 ±15 points, and learnability was 17 ±15 points—the lowest #usability and #learnability scores I've ever calculated.)

The lesson: recruit the right participants for #UserResearch.

#SUS #score #software #design #UX #user #UCD #UI #UR

A new product.

The client wonders: is the interaction paradigm too hard for the intended customers?

They test it—on colleagues—who "confirm" the design works.

Later, in the hands of actual target users, the interaction paradigm fails. (SUS usability was 20 ±15 points, and learnability was 17 ±15 points—the lowest #usability and #learnability scores I've ever calculated.)

The lesson: recruit the right participants for #UserResearch.

#SUS #score #software #design #UX #user #UCD #UI #UR

A new product.

The client wonders: is the interaction paradigm too hard for the intended customers?

They test it—on colleagues—who "confirm" the design works.

Later, in the hands of actual target users, the interaction paradigm fails. (SUS usability was 20 ±15 points, and learnability was 17 ±15 points—the lowest #usability and #learnability scores I've ever calculated.)

The lesson: recruit the right participants for #UserResearch.

#SUS #score #software #design #UX #user #UCD #UI #UR

A new product.

The client wonders: is the interaction paradigm too hard for the intended customers?

They test it—on colleagues—who "confirm" the design works.

Later, in the hands of actual target users, the interaction paradigm fails. (SUS usability was 20 ±15 points, and learnability was 17 ±15 points—the lowest #usability and #learnability scores I've ever calculated.)

The lesson: recruit the right participants for #UserResearch.

#SUS #score #software #design #UX #user #UCD #UI #UR

A new product.

The client wonders: is the interaction paradigm too hard for the intended customers?

They test it—on colleagues—who "confirm" the design works.

Later, in the hands of actual target users, the interaction paradigm fails. (SUS usability was 20 ±15 points, and learnability was 17 ±15 points—the lowest #usability and #learnability scores I've ever calculated.)

The lesson: recruit the right participants for #UserResearch.

#SUS #score #software #design #UX #user #UCD #UI #UR

'A Characterization of Multioutput Learnability', by Vinod Raman, Unique Subedi, Ambuj Tewari.

http://jmlr.org/papers/v25/23-078.html

#learnability #learnable #multilabel

'A Characterization of Multioutput Learnability', by Vinod Raman, Unique Subedi, Ambuj Tewari.

http://jmlr.org/papers/v25/23-078.html

#learnability #learnable #multilabel

'A Characterization of Multioutput Learnability', by Vinod Raman, Unique Subedi, Ambuj Tewari.

http://jmlr.org/papers/v25/23-078.html

#learnability #learnable #multilabel

'A Characterization of Multioutput Learnability', by Vinod Raman, Unique Subedi, Ambuj Tewari.

http://jmlr.org/papers/v25/23-078.html

#learnability #learnable #multilabel

'A Characterization of Multioutput Learnability', by Vinod Raman, Unique Subedi, Ambuj Tewari.

http://jmlr.org/papers/v25/23-078.html

#learnability #learnable #multilabel

'On the Learnability of Out-of-distribution Detection', by Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu.

http://jmlr.org/papers/v25/23-1257.html

#learnability #classifier #detection

'On the Learnability of Out-of-distribution Detection', by Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu.

http://jmlr.org/papers/v25/23-1257.html

#learnability #classifier #detection

'On the Learnability of Out-of-distribution Detection', by Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu.

http://jmlr.org/papers/v25/23-1257.html

#learnability #classifier #detection

'On the Learnability of Out-of-distribution Detection', by Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu.

http://jmlr.org/papers/v25/23-1257.html

#learnability #classifier #detection

'On the Learnability of Out-of-distribution Detection', by Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu.

http://jmlr.org/papers/v25/23-1257.html

#learnability #classifier #detection

'Learnability of Linear Port-Hamiltonian Systems', by Juan-Pablo Ortega, Daiying Yin.

http://jmlr.org/papers/v25/23-0450.html

#hamiltonian #manifold #learnability

'Learnability of Linear Port-Hamiltonian Systems', by Juan-Pablo Ortega, Daiying Yin.

http://jmlr.org/papers/v25/23-0450.html

#hamiltonian #manifold #learnability

'Learnability of Linear Port-Hamiltonian Systems', by Juan-Pablo Ortega, Daiying Yin.

http://jmlr.org/papers/v25/23-0450.html

#hamiltonian #manifold #learnability

'Learnability of Linear Port-Hamiltonian Systems', by Juan-Pablo Ortega, Daiying Yin.

http://jmlr.org/papers/v25/23-0450.html

#hamiltonian #manifold #learnability

'Learnability of Linear Port-Hamiltonian Systems', by Juan-Pablo Ortega, Daiying Yin.

http://jmlr.org/papers/v25/23-0450.html

#hamiltonian #manifold #learnability

Do you design the UX for complex work and systems?

Join Virginia Corvid at #IAC24, where she will discuss effective UI patterns that can help you create highly learnable and usable tools.

👉 Register today: https://lnkd.in/gdQu4eia

#systemdesign #AI #userinterface #learnability #usability #UI #Career #Conference #Design #Networking

Do you design the UX for complex work and systems?

Join Virginia Corvid at #IAC24, where she will discuss effective UI patterns that can help you create highly learnable and usable tools.

👉 Register today: https://lnkd.in/gdQu4eia

#systemdesign #AI #userinterface #learnability #usability #UI #Career #Conference #Design #Networking

Do you design the UX for complex work and systems?

Join Virginia Corvid at #IAC24, where she will discuss effective UI patterns that can help you create highly learnable and usable tools.

👉 Register today: https://lnkd.in/gdQu4eia

#systemdesign #AI #userinterface #learnability #usability #UI #Career #Conference #Design #Networking

'PAC-learning for Strategic Classification', by Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao.

http://jmlr.org/papers/v24/21-1250.html

#adversarial #classifiers #learnability

'PAC-learning for Strategic Classification', by Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao.

http://jmlr.org/papers/v24/21-1250.html

#adversarial #classifiers #learnability

'PAC-learning for Strategic Classification', by Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao.

http://jmlr.org/papers/v24/21-1250.html

#adversarial #classifiers #learnability

'PAC-learning for Strategic Classification', by Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao.

http://jmlr.org/papers/v24/21-1250.html

#adversarial #classifiers #learnability

'PAC-learning for Strategic Classification', by Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao.

http://jmlr.org/papers/v24/21-1250.html

#adversarial #classifiers #learnability

The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide N...

James B Simon, Madeline Dickens, Dhruva Karkada, Michael Deweese

Action editor: Andriy Mnih.

https://openreview.net/forum?id=FDbQGCAViI

#eigenlearning #learnability #adversarial

The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide N...

James B Simon, Madeline Dickens, Dhruva Karkada, Michael Deweese

Action editor: Andriy Mnih.

https://openreview.net/forum?id=FDbQGCAViI

#eigenlearning #learnability #adversarial

The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide N...

James B Simon, Madeline Dickens, Dhruva Karkada, Michael Deweese

Action editor: Andriy Mnih.

https://openreview.net/forum?id=FDbQGCAViI

#eigenlearning #learnability #adversarial

The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide N...

James B Simon, Madeline Dickens, Dhruva Karkada, Michael Deweese

Action editor: Andriy Mnih.

https://openreview.net/forum?id=FDbQGCAViI

#eigenlearning #learnability #adversarial

The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide N...

James B Simon, Madeline Dickens, Dhruva Karkada, Michael Deweese

Action editor: Andriy Mnih.

https://openreview.net/forum?id=FDbQGCAViI

#eigenlearning #learnability #adversarial

"If ease of use was the ultimate aim for a tool, the bicycle would never have evolved beyond the tricycle."

— Doug Engelbart (1925-2013), inventor of the mouse and many other things you now think are easy to use

:boost_love: :reply_no:

#quotes #usability #learnability #technology #change #learning #adapting #resilience

"If ease of use was the ultimate aim for a tool, the bicycle would never have evolved beyond the tricycle."

— Doug Engelbart (1925-2013), inventor of the mouse and many other things you now think are easy to use

:boost_love: :reply_no:

#quotes #usability #learnability #technology #change #learning #adapting #resilience

"If ease of use was the ultimate aim for a tool, the bicycle would never have evolved beyond the tricycle."

— Doug Engelbart (1925-2013), inventor of the mouse and many other things you now think are easy to use

:boost_love: :reply_no:

#quotes #usability #learnability #technology #change #learning #adapting #resilience

"If ease of use was the ultimate aim for a tool, the bicycle would never have evolved beyond the tricycle."

— Doug Engelbart (1925-2013), inventor of the mouse and many other things you now think are easy to use

:boost_love: :reply_no:

#quotes #usability #learnability #technology #change #learning #adapting #resilience