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.
1994.Usability engineering
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uxCUA is a trained computer use agent that assesses GUI usability more accurately than larger models by learning to prioritize and execute important user interactions on labeled interface datasets.
A generative system for digital mental health support dynamically assembles personalized content and multimodal interaction flows, producing lower stress and better user experience than a fixed LLM baseline in a preregistered RCT.
LEAF distills teacher-aligned student embedding models that achieve new SOTA results on BEIR and MTEB for their size class while requiring only modest data and compute.
CandorMD is a new AI simulation and feedback system for training clinicians in medical error disclosure, informed by interviews with physicians, risk managers, and experts.
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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Training Computer Use Agents to Assess the Usability of Graphical User Interfaces
uxCUA is a trained computer use agent that assesses GUI usability more accurately than larger models by learning to prioritize and execute important user interactions on labeled interface datasets.
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Generative Experiences for Digital Mental Health Interventions: Evidence from a Randomized Study
A generative system for digital mental health support dynamically assembles personalized content and multimodal interaction flows, producing lower stress and better user experience than a fixed LLM baseline in a preregistered RCT.
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LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
LEAF distills teacher-aligned student embedding models that achieve new SOTA results on BEIR and MTEB for their size class while requiring only modest data and compute.
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CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure
CandorMD is a new AI simulation and feedback system for training clinicians in medical error disclosure, informed by interviews with physicians, risk managers, and experts.