Explanations in conversational AI are experienced as dialogues, so the field should study them as interactive exchanges and pursue Human-Centered Conversational XAI (HC2XAI).
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An experiment found LLM counterarguments improved group flexibility and satisfaction while AI mediation boosted minority participation but lowered psychological safety.
Medium personality expression in LLM agents yields the most positive user perceptions in goal-oriented tasks, further improved by trait alignment.
citing papers explorer
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Explanations as Dialogues: Toward Human-Centered Conversational Explainable AI
Explanations in conversational AI are experienced as dialogues, so the field should study them as interactive exchanges and pursue Human-Centered Conversational XAI (HC2XAI).
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Investigating LLM-Powered Dissenting Minority Support in Power-Imbalanced Group Decision-Making: Counterargument and Mediation as Intervention Strategies
An experiment found LLM counterarguments improved group flexibility and satisfaction while AI mediation boosted minority participation but lowered psychological safety.
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Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks
Medium personality expression in LLM agents yields the most positive user perceptions in goal-oriented tasks, further improved by trait alignment.