Explainability of AI systems is critical for users to take informed actions and hold systems
accountable. While" opening the opaque box" is important, understanding who opens the …

In society today, people experiencing disability can face discrimination. As artificial
intelligence solutions take on increasingly important roles in decision-making and …

Explainability of AI systems is critical for users to take informed actions. Understanding who
opens the black-box of AI is just as important as opening it. We conduct a mixed-methods …

We present the results of a design case study focusing on supporting the daily transportation
of elderly in Germany. We conceptualized, developed and studied the appropriation of a …

This paper applies the theoretical lens of infrastructure to study hacking practices that take
issue with large-scale communication networks. The paper analyzes a series of hacks …

Previous workshops examined how individual users adopt and adapt technologies to meet
local needs,“completing design through use.” However, there has been little systematic …

This paper examines" repairedness"-the contingently stable, working version of an artifact
under repair that is negotiated out of multiple possible versions to bring about the temporary …

People have always used tools and technologies creatively. Technology appropriation
concerns on how users adopt technologies for personal purposes. In this paper, we review …

Whether in private or professional life, people frequently adapt, adopt, and shape the
technology around them based on their everyday practices to ease interaction when …

How can we make data science systems more actionable? This dissertation explores this
question by placing end-users and their data practices, rather than data scientists and their …