Human-Computer interaction and visualization

Recommender systems are the algorithms which select, filter, and personalize content across many of the world’s largest platforms and apps. As such, their positive and negative effects on individuals and on societies have been extensively theorized and studied. The overarching question that arises is whether recommender systems align with the values of the individuals and societies that they...

In this paper, we present the results of a study examining the art practices, artwork, and motivations of prolific users of the latest generation of text-to-image models. Through interviews, observations, and a survey, we present a sampling of the artistic styles, and describe the developed community of practice. We find that: 1) the text prompt and resulting image collectively can be...

The lack of accessibility awareness among industry professionals is one of the reasons for rampant inaccessible websites and applications. This problem is exacerbated by the industry norm of having a single place dedicated to accessibility in the documentation of UI frameworks, which makes accessibility difficult for developers to discover and implement as part of their workflows. This paper...

In this paper we interrogate the relationship between two different ways of seeing and knowing urban mobility markets: a top-down algorithmic vision of mobility platforms and a bottom-up experiential vision of drivers. By juxtaposing both perspectives, we argue that these visions do not exist in binaries but in a complex dance of complementarity and competition. The paper dissects two...