arXiv:2606.30543v1 Announce Type: cross Abstract: With the proliferation of speech AI agents, understanding emotional entrainment in conversational interaction has become increasingly important. Emotional entrainment is shaped by social relationships and conversational context, influencing affective coordination over time. We introduce DyadEE, a dataset for emotional entrainment detection in dyadic speech interactions, containing both emotionally entrained conversations and synthetic interactions where entrainment is disrupted through partner swapping and emotion resynthesis. We further propos
The proliferation of speech AI agents necessitates a deeper understanding of emotional entrainment for more effective and human-like interactions.
Understanding emotional entrainment is critical for developing sophisticated AI agents capable of nuanced human-computer interaction and emotional intelligence.
This research provides a new dataset and methodology for detecting and analyzing emotional entrainment, advancing the field of conversational AI.
- · AI developers
- · Speech AI companies
- · Customer service industries
- · Platforms with unsophisticated speech AI
Improved emotional intelligence in conversational AI agents.
More natural and engaging human-AI interactions across various applications.
Potential for AI to influence human emotional states through finely-tuned conversational entrainment.
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Read at arXiv cs.AI