Facilitating Longitudinal Interaction Studies of AI Systems
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Abstract (arXiv)
UIST researchers develop tools to address user challenges. However, user interactions with AI evolve over time through learning, adaptation, and repurposing, making one time evaluations insufficient. Capturing these dynamics requires longer-term studies, but challenges in deployment, evaluation design, and data collection have made such longitudinal research difficult to implement. Our workshop aims to tackle these challenges and prepare researchers with practical strategies for longitudinal studies. The workshop includes a keynote, panel discussions, and interactive breakout groups for discussion and hands-on protocol design and tool prototyping sessions. We seek to foster a community around longitudinal system research and promote it as a more embraced method for designing, building, and evaluating UIST tools.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 13 of its 51 references that are in the map. First posted on arXiv 14 Aug 2025.
Builds on
13 of 51 references.
References · 13
- 2023The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Developmentcited by 96
- 2023Generative Disco: Text-to-Video Generation for Music Visualizationcited by 19
- 2023ReelFramer: Human-AI Co-Creation for News-to-Video Translationcited by 19
- 2024Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflowcited by 14
- 2023Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Mediacited by 11
- 2022The Placebo Effect of Artificial Intelligence in Human-Computer Interactioncited by 9
- 2023PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers' Workflowscited by 8
- 2021Novelty and Primacy: A Long-Term Estimator for Online Experimentscited by 5
- 2023Challenges and Opportunities for the Design of Smart Speakerscited by 2
- 2025The Role of Human Creativity in the Presence of AI Creativity Tools at Work: A Case Study on AI-Driven Content Transformation in Journalismcited by 2
- 2025FeedQUAC: Quick Unobtrusive AI-Generated Commentarycited by 2
- 2024LightSword: A Customized Virtual Reality Exergame for Long-Term Cognitive Inhibition Training in Older Adultscited by 1
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Citing papers per year: 2026: 1.
1 paper.