Sensemaking and AI 2026: Uses, Behaviors, Design, and Recommendations
Russell, Daniel M Koesten, Laura Kittur, Aniket Schuster, Regina
Russell, Daniel M
Koesten, Laura
Kittur, Aniket
Schuster, Regina
Supervisor
Department
Human Computer Interaction
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Conference proceeding
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Language
English
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Abstract
Sensemaking is a common activity in the analysis of a large or complex amount of information. It has also been an active area of research for at least 25 years. Such an active area of HCI research over a quarter century poses fundamental questions about how do people come to understand difficult sets of information? How do they find the data in the first place? How do their sensemaking tools help frame (or hinder) their ability to understand? The information workplace is increasingly dominated by high velocity, high volume, and complex information streams. At the same time, understanding how sensemaking operates has become an urgent need in an era of increasingly unreliable news and information sources. We are at a time when poor AI sensemaking can have terrible consequences while increasing reliance on automated sensemaking tools can degrade our human capabilities for sensemaking There has been a huge amount of work in this space, the research involved is scattered over a number of different domains with differing approaches. This workshop will focus on the most recent work in sensemaking, the methods, technologies and behaviors that people do when making sense of their complex information spaces. Given the immense amount of work in using AI tools for sensemaking purposes, we will also create a wide-ranging synthesis of sensemaking AI systems over the past several years. Our goal is to create a cross-disciplinary view of how sensemaking works in people, along with the human behaviors, biases, proclivities, and technologies required to support it.
Citation
D.M. Russell, L. Koesten, A. Kittur, R. Schuster, "Sensemaking and AI 2026: Uses, Behaviors, Design, and Recommendations," 2026, pp. 1-4.
Source
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
Conference
979-8-4007-2281-3
Keywords
46 Information and Computing Sciences, 4608 Human-Centred Computing
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Source
979-8-4007-2281-3
Publisher
Association for Computing Machinery