Introduces LLM-mediated computing as a paradigm of reflective conversation and co-disclosure where the computer emerges through human-LLM interaction.
Schegloff, and Gail Jefferson
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Shorter LLM response latencies reduce perceived output thoughtfulness and usefulness, while task type affects prompting frequency independently of latency.
A multimodal machine learning framework fusing smartwatch audio and inertial sensing achieves macro F1 scores of 82% in lab and 77% in semi-naturalistic studies for detecting face-to-face conversations.
citing papers explorer
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Co-Disclosing the Computer: LLM-Mediated Computing through Reflective Conversation
Introduces LLM-mediated computing as a paradigm of reflective conversation and co-disclosure where the computer emerges through human-LLM interaction.
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The Impact of Response Latency and Task Type on Human-LLM Interaction and Perception
Shorter LLM response latencies reduce perceived output thoughtfulness and usefulness, while task type affects prompting frequency independently of latency.
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Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing
A multimodal machine learning framework fusing smartwatch audio and inertial sensing achieves macro F1 scores of 82% in lab and 77% in semi-naturalistic studies for detecting face-to-face conversations.