超越“感觉更好”：能力维持型情感对话作为一种纵向研究范式
Beyond Feeling Better: Capability-Sustaining Emotional Dialogue as a Longitudinal Research Paradigm
AI总结：
该研究提出能力维持型情感对话（CSED）作为纵向研究范式，分析现有情感对话研究的不足，明确其核心目标、相关比例数据及可检验的研究议程。
AI中文摘要：
情感对话研究包含两种有影响力的策略传统：共情对话优先理解说话者的情感体验，情感支持对话则根据寻求者当前的需求选择并安排支持措施。能力维持型情感对话（CSED）引入了进一步的目标，即有效的支持应在整个交互生命周期中维持用户的情绪调节、应对能力、自我认可决策和社会联结能力。我们提出CSED作为一种纵向研究范式，将支持策略与该目标对齐，并围绕重复使用、不使用、转换和终止来组织数据、模型、系统设计、评估和治理。一项基于PRISMA-ScR指南的样本分析显示，60篇系统构建论文中95%追求缓解导向的目标，无一篇评估能力或纵向结果，仅1篇考虑依赖、自主或终止风险；在300次ESConv支持者轮次中，与能力相关的功能占43.0%，通用建议占22.0%，认知重评占4.0%，自我效能支持占6.7%，边界行为占0.3%。我们发布了将审计扩展至模型行为的方案，一个说明性过程模型将潜在用户能力与六项设计承诺、四个评估时间尺度及生命周期约束关联，形成的议程使CSED可在数据、策略设计、训练、评估和治理中接受检验。
英文摘要：
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.
