Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations
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Abstract (arXiv)
Unlike empathetic dialogues, the system in emotional support conversations (ESC) is expected to not only convey empathy for comforting the help-seeker, but also proactively assist in exploring and addressing their problems during the conversation. In this work, we study the problem of mixed-initiative ESC where the user and system can both take the initiative in leading the conversation. Specifically, we conduct a novel analysis on mixed-initiative ESC systems with a tailor-designed schema that divides utterances into different types with speaker roles and initiative types. Four emotional support metrics are proposed to evaluate the mixed-initiative interactions. The analysis reveals the necessity and challenges of building mixed-initiative ESC systems. In the light of this, we propose a knowledge-enhanced mixed-initiative framework (KEMI) for ESC, which retrieves actual case knowledge from a large-scale mental health knowledge graph for generating mixed-initiative responses. Experimental results on two ESC datasets show the superiority of KEMI in both content-preserving evaluation and mixed initiative related analyses.
Key facts. Cited by 41 papers in the map (data through 14 Oct 2026). Builds on 40 of its 71 references that are in the map. First posted on arXiv 17 May 2023.
Builds on
40 of 71 references.
References · 40
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- 2023A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospectscited by 66
- 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
- 2022Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planningcited by 60
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Citing papers per year: 2023: 8; 2024: 10; 2025: 13; 2026: 10.
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- 2025DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization22 May 2025
- 2024Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback11 Jan 2024
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- 2026PsyProbe: Proactive and Interpretable Dialogue through User State Modeling for Exploratory Counseling27 Jan 2026
- 2026Responsible Evaluation of AI for Mental Health20 Jan 2026
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