Experientia

Experientia

[Book] Think Like a UX Researcher

Book
In this newly revised Second Edition, you'll find six new essays that look at how UX research methods have changed in the last few years, why remote methods should not be the only tools you use, what to do about difficult test participants, how to improve your survey questions, how to identify user goals when you can’t directly observe users and how understanding your own epistemological bias will help you become a more persuasive UX researcher.

[Book] Imagining AI

Imagining AI
The book sheds new light on some of the most important themes in AI ethics, from the differences between Chinese and American visions of AI, to digital neo-colonialism. It is an essential work for anyone wishing to understand how different cultural contexts interplay with the most significant technology of our time.

[Book] Attention Span

Attention Span
While the concept of “flow” has previously been considered the ideal state of focus, Dr. Mark offers a new framework to help explain how our brains function in the digital world: kinetic attention. This book reveals how we can take control, not only to find more success in our careers, but also to find health and wellness in our everyday lives.

[Book] Interfaces and Us

Interfaces and Us
When society relies on computer models and their interfaces to explain and predict everything from love to geopolitical conflicts, our own behaviour and choices are artificially changed. Zachary Kaiser explores the harmful social consequences of this idea - balanced against speed and ease for the user - and how design practice and education can respond positively.

Toward best practices for human-centered machine learning

A new area called "human-centered machine learning" (HCML) promises to balance technological possibilities with human needs and values. However, there are no unifying guidelines on what "human-centered" means, nor how HCML research and practice should be conducted. This article by Stevie Chancellor in Communications of the ACM draws on the interdisciplinary history of human-centered thinking, HCI, AI, and science and technology studies to propose best practices for HCML.