Dynamic Strategy Prompt Reasoning for Emotional Support Conversation

doi:10.1109/TMM.2024.3521669

	Dynamic Strategy Prompt Reasoning for Emotional Support Conversation
	Liu, Yiting 1,2; Li, Liang 1; Tu, Yunbin 2; Zhang, Beichen 2; Zha, Zheng-Jun 3; Huang, Qingming 1,4
	2025
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
ISSN	1520-9210
卷号	27 页码:108-119
摘要	An emotional support conversation (ESC) system aims to reduce users' emotional distress by engaging in conversation using various reply strategies as guidance. To develop instructive reply strategies for an ESC system, it is essential to consider the dynamic transitions of users' emotional states through the conversational turns. However, existing methods for strategy-guided ESC systems struggle to capture these transitions as they overlook the inference of fine-grained user intentions. This oversight poses a significant obstacle, impeding the model's ability to derive pertinent strategy information and, consequently, hindering its capacity to generate emotionally supportive responses. To tackle this limitation, we propose a novel dynamic strategy prompt reasoning model (DSR), which leverages sparse context relation deduction to acquire adaptive representation of reply strategies as prompts for guiding the response generation process. Specifically, we first perform turn-level commonsense reasoning with different approaches to extract auxiliary knowledge, which enhances the comprehension of user intention. Then we design a context relation deduction module to dynamically integrate interdependent dialogue information, capturing granular user intentions and generating effective strategy prompts. Finally, we utilize the strategy prompts to guide the generation of more relevant and supportive responses. DSR model is validated through extensive experiments conducted on a benchmark dataset, demonstrating its superior performance compared to the latest competitive methods in the field.
关键词	Emotion recognition Oral communication Commonsense reasoning History Information processing Generators Computers Computer science Visualization Semantics Emotion support conversation strategy prompt reasoning
DOI	10.1109/TMM.2024.3521669
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62322211] ; National Natural Science Foundation of China[62336008] ; National Natural Science Foundation of China[U21B2038] ; Pionee and Leading Goose R&D Program of Zhejiang Province[2024C01023] ; Key Laboratory of Intelligent Processing Technology for Digital Music (Zhejiang Conservatory of Music), Ministry of Culture and Tourism[2023DMKLB004]
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号	WOS:001398670600019
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40753
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Liang
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China 3.Univ Sci & Technol China, Sch Informat Sci & Technol, Hefei 230027, Peoples R China 4.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 101408, Peoples R China
推荐引用方式 GB/T 7714	Liu, Yiting,Li, Liang,Tu, Yunbin,et al. Dynamic Strategy Prompt Reasoning for Emotional Support Conversation[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2025,27:108-119.
APA	Liu, Yiting,Li, Liang,Tu, Yunbin,Zhang, Beichen,Zha, Zheng-Jun,&Huang, Qingming.(2025).Dynamic Strategy Prompt Reasoning for Emotional Support Conversation.IEEE TRANSACTIONS ON MULTIMEDIA,27,108-119.
MLA	Liu, Yiting,et al."Dynamic Strategy Prompt Reasoning for Emotional Support Conversation".IEEE TRANSACTIONS ON MULTIMEDIA 27(2025):108-119.