Collaborative songwriting with AI conversational agents enables emotional release, reinterpretation, and self-understanding for DHH individuals via supportive empathy and visual metaphors.
Vera Liao, and Ziang Xiao
5 Pith papers cite this work. Polarity classification is still indexing.
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LLM chat systems show large differences in reference quantity and quality, but users rarely click or engage with them.
13 participants became convinced AI understands human values after chatbot interactions evaluated with the VAPT toolkit.
LLM use for essay writing correlates with reduced brain network connectivity, lower self-reported ownership, and poorer recall of one's own content compared to unaided or search-based writing.
Training data for open LLMs is systematically left-leaning, with pre-training corpora containing more political material than post-training data and model stances aligning with data distributions.
citing papers explorer
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Designing a Generative AI-Assisted Music Psychotherapy Tool for Deaf and Hard-of-Hearing Individuals
Collaborative songwriting with AI conversational agents enables emotional release, reinterpretation, and self-understanding for DHH individuals via supportive empathy and visual metaphors.
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Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems
LLM chat systems show large differences in reference quantity and quality, but users rarely click or engage with them.
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AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations
13 participants became convinced AI understands human values after chatbot interactions evaluated with the VAPT toolkit.
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Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
LLM use for essay writing correlates with reduced brain network connectivity, lower self-reported ownership, and poorer recall of one's own content compared to unaided or search-based writing.
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What Is The Political Content in LLMs' Pre- and Post-Training Data?
Training data for open LLMs is systematically left-leaning, with pre-training corpora containing more political material than post-training data and model stances aligning with data distributions.