Large-scale analysis of wild LLM chat logs finds that user interaction patterns stabilize quickly after initial use and correlate with long-term outcomes like retention, creating an agency paradox of limited exploration in unconstrained systems.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
FlexiTac is a scalable piezoresistive tactile sensing system with flexible FPC-Velostat-FPC pads and a 100 Hz multi-channel readout board that mounts on rigid or soft grippers and supports visuo-tactile learning.
Creativity in human-LLM collaborative software design emerges primarily from human traits and interactions, with LLMs providing supplementary novel ideas but occasionally hindering progress.
A validated survey instrument grounded in real GenAI incidents reveals public perceptions of failure modes, risks, and stakeholder responsibilities, showing potential for guiding AI literacy efforts.
citing papers explorer
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Priming, Path-dependence, and Plasticity: Understanding the molding of user-LLM interaction and its implications from (many) chat logs in the wild
Large-scale analysis of wild LLM chat logs finds that user interaction patterns stabilize quickly after initial use and correlate with long-term outcomes like retention, creating an agency paradox of limited exploration in unconstrained systems.
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FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems
FlexiTac is a scalable piezoresistive tactile sensing system with flexible FPC-Velostat-FPC pads and a 100 Hz multi-channel readout board that mounts on rigid or soft grippers and supports visuo-tactile learning.
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Exploring Creativity in Human-Human-LLM Collaborative Software Design
Creativity in human-LLM collaborative software design emerges primarily from human traits and interactions, with LLMs providing supplementary novel ideas but occasionally hindering progress.
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What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them
A validated survey instrument grounded in real GenAI incidents reveals public perceptions of failure modes, risks, and stakeholder responsibilities, showing potential for guiding AI literacy efforts.