Emotional dialogue research includes two influential strategy traditions. Empathetic dialogue prioritizes understanding a speaker's emotional experience. Emotional support conversation selects and sequences support for the seeker's current needs. Sustained use introduces a further goal. Effective support should sustain users'capacities for emotion regulation, coping, self-endorsed decisions, and social connection across the interaction lifecycle. We propose capability-sustaining emotional dialogue (CSED) as a longitudinal research paradigm that aligns supportive strategy with this goal and organizes data, models, system design, evaluation, and governance around repeated use, non-use, transition, and termination. A targeted literature-and-corpus audit motivates this position. In a PRISMA-ScR-guided sample, 95% of 60 system-building papers pursue relief-oriented goals. None evaluates capability or longitudinal outcomes, and only 1 considers dependency, autonomy, or termination risk. In 300 ESConv supporter turns, capability-relevant functions appear in 43.0%, while generic suggestions account for 22.0%, compared with 4.0% reappraisal, 6.7% self-efficacy support, and 0.3% boundary behavior. We release a protocol for extending the audit to model behavior. An illustrative process model connects latent user capability to six design commitments, four evaluation timescales, and lifecycle constraints. The resulting agenda makes CSED testable across data, policy design, training, evaluation, and governance.
EmoTrace, a multi-turn dialogue corpus generation framework centered on modeling seekers' emotional trajectories, is proposed, which outperforms existing approaches in terms of emotional richness and empathy quality.
Kai-Tong Weng, Lixiong Liu, Zihao Liu et al.· arXiv.org· 0 citations
CPM-MultiAgent is proposed, a CPM-grounded emotion evolution multi-agent framework for supporting emotional changes in persona-based dialogue that represents a character's emotion as a latent state that is continuously reshaped by dialogue triggers.
Jingyao Cai, Shuaijun Liu, Abdul Rehman et al.· arXiv.org· 0 citations
A systematic review of empirical studies reveals that empathy is highly situated and driven by functional goals, like health and well-being, transactional service, social interaction, and learning support, and a disproportionate focus on text-based over voice-based interfaces.
Supriya Khadka, Smit Desai· International Conference on...· 0 citations
This study focuses on the initial stages of a broader design project aimed at developing a GenAI mediator for consensus-oriented online deliberation, and derives design knowledge, articulated through design requirements, for emotion-aware GenAI mediation.
Antoine Danthine, Anthony Simonofski· EGOV-CeDEM-ePart 2026· 0 citations
An Organizational Untangling framework grounded in Human Systems Integration is proposed, which redistributes emotional load through visualization, decision rationale externalization, reflexive feedback loops, and cross-functional integration, and AI is positioned as an emotional mediator that supports sense-making and...
As adolescents face mounting academic pressure, Social and Emotional Learning (SEL), though widely implemented, often slips into an “obedience trap”: one that emphasizes compliance over genuine student autonomy. Grounded in Self-Determination Theory (SDT) and a proposed four-tier “inside-out” model, this paper utilizes...
Lu-Dan Liang· SHS Web of Conferences· 0 citations
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