# Facilitating Longitudinal Interaction Studies of AI Systems

arXiv: https://arxiv.org/abs/2508.10252 · HTML: https://mlsanity.com/paper/2508.10252/

## Key facts

- Cited by 1 papers 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 (most cited first, 13 of 13)

- [The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development](https://mlsanity.com/paper/2302.07080/) (2023)
- [Generative Disco: Text-to-Video Generation for Music Visualization](https://mlsanity.com/paper/2304.08551/) (2023)
- [ReelFramer: Human-AI Co-Creation for News-to-Video Translation](https://mlsanity.com/paper/2304.09653/) (2023)
- [Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow](https://mlsanity.com/paper/2402.09894/) (2024)
- [Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media](https://mlsanity.com/paper/2305.12265/) (2023)
- [The Placebo Effect of Artificial Intelligence in Human-Computer Interaction](https://mlsanity.com/paper/2204.04935/) (2022)
- [PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers' Workflows](https://mlsanity.com/paper/2310.15435/) (2023)
- [Novelty and Primacy: A Long-Term Estimator for Online Experiments](https://mlsanity.com/paper/2102.12893/) (2021)
- [Challenges and Opportunities for the Design of Smart Speakers](https://mlsanity.com/paper/2306.05741/) (2023)
- [The Role of Human Creativity in the Presence of AI Creativity Tools at Work: A Case Study on AI-Driven Content Transformation in Journalism](https://mlsanity.com/paper/2502.05347/) (2025)
- [FeedQUAC: Quick Unobtrusive AI-Generated Commentary](https://mlsanity.com/paper/2504.16416/) (2025)
- [LightSword: A Customized Virtual Reality Exergame for Long-Term Cognitive Inhibition Training in Older Adults](https://mlsanity.com/paper/2403.05031/) (2024)
- [More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI](https://mlsanity.com/paper/2505.23780/) (2025)

## Built on by (most cited first, 1 of 1)

- [Conversations in Space: Non-Linear LLM Interaction in Everyday Use](https://mlsanity.com/paper/2605.15848/) (2026)

## 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.