[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-84277-en":3,"doc-seo-84277-105":29,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},84277,1374391974564,"Clementine","https://ap-avatar.wpscdn.com/avatar/14000253aa45c000a9e?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779874745381141002",8,"Research & Report","From Triggers to Emotions CPM-Grounded Appraisal Multi-Agent for Dynamic Emotional Evolution in Persona-Based Dialogue","Large Language Models improve persona-based dialogue, but emotion is often treated as static traits or only used to craft empathetic replies to the user. A key gap remains: how a character’s own emotional state evolves when dialogue events trigger it. This work introduces CPM-MultiAgent, grounded in the Component Process Model, representing emotions as latent states reshaped by affective triggers. It extracts triggers, performs CPM-based collaborative appraisal, and updates emotional state for consistent multi-turn role simulation. Experiments validate effectiveness via comparisons, ablations, human evaluation, and case studies.","From Triggers to Emotions: A CPM-Grounded Appraisal Multi-Agent for Dynamic Emotional Evolution in Persona-Based Dialogue  \nJingyao Cai1, Shuaijun Liu2, Abdul Rehman1, Yutong Guo1, Qin Tian3, Thomas Dolby4, Sue Green5, Chantel Cox5,  \nXiaosong Yang1  \n1National Centre for Computer Animation, Bournemouth University, Bournemouth, United Kingdom,  \n2Information Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China,  \n3Key Laboratory of Child Cognition & Behavior Development of Hainan Province, Qiongtai Normal University, Haikou, China, 4Chief Technology Officer, i3 Simulations Ltd, United Kingdom,  \n5School of Health and Care, Bournemouth University, Bournemouth, United Kingdom  \n{jcai, arehman, s5819307, sgreen, ccox, [xyang}@bournemouth.ac.uk](xyang}@bournemouth.ac.uk) ,  \n[sliu529@connect.hkust-gz.edu.cn](sliu529@connect.hkust-gz.edu.cn) , [qintian@mail.qtnu.edu.cn](qintian@mail.qtnu.edu.cn) , [tom@i3simulations.com](tom@i3simulations.com)  \narXiv :2607 .07824v 1 [ cs .MA] 8 Jul 2026  \nAbstract  \nLarge Language Models (LLMs) have substantially advanced persona-based dialogue agents for emotion-sensitive role simulation in healthcare, education, counseling, customer service, and interactive storytelling. However, two related lines of work leave a key gap. Personabased dialogue systems often encode emotions as static traits or surface-level stylistic cues, and affective dialogue research has largely focused on empathetic response generation toward users rather than modeling the agent persona’s own evolving emotional state. As a result, trigger-driven emotional evolution within a character remains underexplored. To address this limitation, we draw inspiration from the Component Process Model (CPM), a psychological theory that views emotion as a dynamic process shaped by the appraisal of external events. We propose CPM-MultiAgent, a CPM-grounded emotion evolution multi-agent framework for supporting emotional changes in persona-based dialogue. Instead of treating a character’s emotion as a fixed attribute, CPM-MultiAgent represents it as a latent state that is continuously reshaped by dialogue triggers. Through affective trigger extraction, CPM-based collaborative appraisal, and emotion state updating, the framework enables more emotionally consistent role simulation in multi-turn interactions.Experiments with baseline comparisons, ablation studies, human evaluation, and case analyses demonstrate that CPM-MultiAgent effectively models dynamic emotional evolution in emotionally sensitive role-simulation settings.  \n1 Introduction  \nEmotion-sensitive role simulation has become an important setting for persona-based dialogue systems. In healthcare communication training (Wanget al., 2024b), counseling (Wang et al., 2025b), ed-  \nucation (Martynova et al., 2025), and negotiation (Liu and Long, 2025 ; Wang et al., 2025a ; Cohen et al., 2025 ; Long et al., 2025), dialogue agents are expected to portray characters whose responses are shaped not only by identities, backgrounds, and goals, but also by evolving emotional states. Such dynamics are crucial for realistic interactions involving uncertainty, conflict, empathy, persuasion, or social support.  \nA central challenge is that a character’s emotion is often triggered and reshaped by external dialogue events. For example, a patient’s anxiety may increase under diagnostic uncertainty, a student’s confidence may change after teacher feedback, anda customer’s frustration may decrease when their concern is acknowledged. These cases suggest that persona emotions should be modeled not as fixed attributes or surface-level response styles, but as dynamic states evolving with triggers interpreted against the character’s persona, goals, and context.  \nHowever, existing studies have not fully addressed how a character’s own emotional state evolves under such triggers. Many persona-based dialogue systems model emotion as a static attribute or predefined control signa","cbCaidp6vZyFyEz1","https://ap.wps.com/l/cbCaidp6vZyFyEz1","pdf",1532619,1,23,"English","en",105,"# Introduction\n## Emotion-sensitive role simulation and the core challenge\n## Limitations of existing emotion modeling\n## CPM as a theoretical foundation\n# CPM-MultiAgent framework overview\n## Trigger analysis, CPM appraisal, and state updating","[{\"question\":\"What gap does this work address in persona-based emotional dialogue?\",\"answer\":\"It addresses the underexplored problem of modeling how a persona character’s own emotional state evolves under trigger-driven dialogue events, rather than keeping emotion as a fixed trait or focusing only on empathetic user-facing responses.\"},{\"question\":\"How does the proposed framework represent emotion in persona-based dialogue?\",\"answer\":\"It treats the character’s emotion as a latent state that is continuously reshaped by affective triggers extracted from dialogue turns, instead of as a static attribute or predefined control signal.\"},{\"question\":\"What are the main components of CPM-MultiAgent?\",\"answer\":\"A Trigger Analyzer Agent extracts affectively salient stimuli and triggers; four CPM Appraisal Agents evaluate them from complementary appraisal perspectives; an Integration Agent synthesizes appraisals to update the character’s latent emotion state.\"}]",1784194550,58,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":27},"from-triggers-to-emotions-cpm-grounded-appraisal-multi-agent-for-dynamic-emotional-evolution-in-persona-based-dialogue","",{"@graph":35,"@context":85},[36,53,68],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/from-triggers-to-emotions-cpm-grounded-appraisal-multi-agent-for-dynamic-emotional-evolution-in-persona-based-dialogue/84277/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-17","2026-07-16",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What gap does this work address in persona-based emotional dialogue?","Question",{"text":75,"@type":76},"It addresses the underexplored problem of modeling how a persona character’s own emotional state evolves under trigger-driven dialogue events, rather than keeping emotion as a fixed trait or focusing only on empathetic user-facing responses.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the proposed framework represent emotion in persona-based dialogue?",{"text":80,"@type":76},"It treats the character’s emotion as a latent state that is continuously reshaped by affective triggers extracted from dialogue turns, instead of as a static attribute or predefined control signal.",{"name":82,"@type":73,"acceptedAnswer":83},"What are the main components of CPM-MultiAgent?",{"text":84,"@type":76},"A Trigger Analyzer Agent extracts affectively salient stimuli and triggers; four CPM Appraisal Agents evaluate them from complementary appraisal perspectives; an Integration Agent synthesizes appraisals to update the character’s latent emotion state.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":45,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":45,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":45,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":45,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":45,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":45,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":45,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":45,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]