arXiv AI
WaLLM -- Understanding Use and Engagement with a General-Purpose LLM on WhatsApp
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AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
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arXiv AI
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Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being
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arXiv AI
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Steerable Chatbots: Exploring Personalization Control Interfaces via LLM Activation Steering
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arXiv AI
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Personalizing Personal Health Interfaces: Co-Design with Generative AI
The paper explores how generative AI can lower the barrier to personalizing health dashboards by enabling users to co-design interfaces in Figma Make. In a study with 14 participants, redesigns of Google and Apple Health focused on personal context, future planning, and interactive experiences, though conversational AI designs tended toward chat-window conventions. AI facilitated the materialization of loosely articulated ideas, yet model defaults and generation latency influenced iteration, and the process highlighted interpretability and accountability over privacy, trust, and emotional safety.
arXiv AI
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Longitudinal Evidence That General-Purpose Chatbots Actively Foster Relational Engagement
arXiv:2608. 10672v1 Announce Type: cross Abstract: Social interaction has become one of the most common uses of LLMs, yet research on emotional bonds with AI has focused largely on how users experience these systems, leaving the systems' role in relationship formation poorly understood.