ConSearcher generates query-based member personas in an LLM conversational tool, yielding higher information-seeking outcomes and engagement than baselines in a 27-person study, with noted risks of over-personalization.
Sparrow, Martin Gibbs, and Michael Arnold
4 Pith papers cite this work. Polarity classification is still indexing.
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cs.HC 4years
2026 4representative citing papers
Structural mental models of AI writing assistants improve system understanding and usability but result in more grammatical errors in user writing compared to functional models.
Comparative study of VRChat Discord finds distinct engagement, response dynamics, and attitudes in human versus AI support channels.
A qualitative study maps emotions exploited by financial scammers and help-seeking needs at different scam stages, identifying risk factors and suggesting design implications for interventions.
citing papers explorer
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ConSearcher: Supporting Conversational Information Seeking in Online Communities with Member Personas
ConSearcher generates query-based member personas in an LLM conversational tool, yielding higher information-seeking outcomes and engagement than baselines in a 27-person study, with noted risks of over-personalization.
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From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
Structural mental models of AI writing assistants improve system understanding and usability but result in more grammatical errors in user writing compared to functional models.
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Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns
Comparative study of VRChat Discord finds distinct engagement, response dynamics, and attitudes in human versus AI support channels.
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"It didn't feel right but I needed a job so desperately": Understanding People's Emotions & Help Needs During Financial Scams
A qualitative study maps emotions exploited by financial scammers and help-seeking needs at different scam stages, identifying risk factors and suggesting design implications for interventions.