activity
20172026
most citedTo Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making

887 citations · 1.4k across the 6 of their papers we have counts for

collaborators

7 papers

cs.HC2026

Coral: Contextual Gists for Blind and Low Vision Screen Reader Users' Understanding of Dynamic User Interfaces

Ritesh Kanchi, Jianna So, Krzysztof Z. Gajos

Blind and low vision (BLV) screen reader users construct mental models of user interfaces (UIs) through incremental screen reader interaction, a time-consuming and cognitively dema…

cs.HC2022★ 121 cited

Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning

Krzysztof Z. Gajos, Lena Mamykina

When people receive advice while making difficult decisions, they often make better decisions in the moment and also increase their knowledge in the process. However, such incident…

cs.HC2021★ 887 cited

To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making

Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos

People supported by AI-powered decision support tools frequently overrely on the AI: they accept an AI's suggestion even when that suggestion is wrong. Adding explanations to the A…

cs.HC2021★ 164 cited

Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens

Maia Jacobs, Jeffrey He, Melanie F. Pradier +6

Major depressive disorder is a debilitating disease affecting 264 million people worldwide. While many antidepressant medications are available, few clinical guidelines support cho…

cs.HC2021★ 12 cited

Ask Me or Tell Me? Enhancing the Effectiveness of Crowdsourced Design Feedback

Fritz Lekschas, Spyridon Ampanavos, Pao Siangliulue +2

Crowdsourced design feedback systems are emerging resources for getting large amounts of feedback in a short period of time. Traditionally, the feedback comes in the form of a decl…

cs.AI2020★ 259 cited

Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems

Zana Buçinca, Phoebe Lin, Krzysztof Z. Gajos +1

Explainable artificially intelligent (XAI) systems form part of sociotechnical systems, e.g., human+AI teams tasked with making decisions. Yet, current XAI systems are rarely evalu…