Interactive Machine Learning (IML) seeks to complement human perception and intelligence
by tightly integrating these strengths with the computational power and speed of computers …

Gesture elicitation studies represent a popular and resourceful method in HCI to inform the
design of intuitive gesture commands, reflective of end-users' behavior, for controlling all …

We propose that digital technologies and related data become increasingly prevalent and
that, consequently, ethical concerns arise. Looking at four principal stakeholders, we …

AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component
of contemporary coding contexts. Among these environments, computational notebooks …

Natural language descriptions sometimes accompany visualizations to better communicate
and contextualize their insights, and to improve their accessibility for readers with …

Designing a data physicalization requires a myriad of different considerations. Despite the
cross-disciplinary nature of these considerations, research currently lacks a synthesis across …

The considerable previous work characterizing visualization usage has focused on low-level
tasks or interactions and high-level tasks, leaving a gap between them that is not addressed …

To ensure accountability and mitigate harm, it is critical that diverse stakeholders can
interrogate black-box automated systems and find information that is understandable …

Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data.
For DR techniques to be useful in exploratory data analysis, they need to be adapted to …

The term interaction is field-defining, yet surprisingly confused. This essay discusses what
interaction is. We first argue that only few attempts to directly define interaction exist …