Empowering people through technology is of increasing concern in the HCI community.
However, there are different interpretations of empowerment, which diverge substantially …

With the emergence of various information access systems exhibiting increasing complexity,
there is a critical need for sound and scalable means of automatic evaluation. To address …

Recently, many AI researchers and practitioners have embarked on research visions that
involve doing AI for “Good”. This is part of a general drive towards infusing AI research and …

“Usability” is a construct conceived by the human–computer interaction (HCI) community to
denote a desired quality of interactive systems and products. Despite its prominence and …

If we assume that an important function of recommender systems is to help people make
better choices, it follows that people who design and study recommender systems ought to …

Recommender systems (RSs) are personalized information search and discovery
applications helping users to identify and choose useful items and information. In this paper …

Video-based learning is widely used today in both formal education and informal learning in
a variety of contexts. Videos are especially powerful for transferable skills learning (eg …

How can recommender interfaces help users to adopt new behaviors? In the behavioral
change literature, social norms and other nudges are studied to understand how people can …

Recommender systems are based on inherent forms of social influence. Indeed,
suggestions are provided to the users based on the opinions of peers. Given the relevance …

Smartphone apps such as Robinhood and Public that promise to “democratize investing”
have risen in popularity over the past few years. These apps allow retail investors, who often …