Task-specific dynamics of overlapping interactions in human–LLM chat
Determine, for each task category in human–LLM text-based conversation (including goal-oriented tasks such as question answering and text summarization and open-ended tasks such as social dialogue and metaphor generation), how overlapping interactions unfold in detail, specifying when and how overlap behaviors (e.g., preemptive answering and backchanneling) should occur to ensure effectiveness and appropriateness across tasks.
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However, how overlapping interactions unfold in detail for each task remain open questions for future research.
Finally, our experiments examine minimal responses only in selected local contexts. We do not test whether incorporating them into a complete, dynamic counseling process improves the interaction, or what timing and frequency are most effective. Excessive or repetitive use, such as repeatedly responding with ``Hmm,'' may feel mechanical or irritating rather than supportive. Future work should evaluate when and how often minimal responses should be used over full counseling sessions, ideally with feedback from counseling experts and clients.