This paper introduces CORAE, a novel web-based open-source tool for COntinuous Retrospective Affect Evaluation, designed to capture continuous affect data about interpersonal perceptions in dyadic interactions. Grounded in behavioral ecology perspectives of emotion, this approach replaces valence as the relevant rating dimension with approach and withdrawal, reflecting the degree to which behavior is perceived as increasing or decreasing social distance. We conducted a study to experimentally validate the efficacy of our platform with 24 participants. The tool's effectiveness was tested in the context of dyadic negotiation, revealing insights about how interpersonal dynamics evolve over time. We find that the continuous affect rating method is consistent with individuals' perception of the overall interaction. This paper contributes to the growing body of research on affective computing and offers a valuable tool for researchers interested in investigating the temporal dynamics of affect and emotion in social interactions.

翻译：本文介绍了CORAE，一种新型基于网络的开源工具，用于连续回顾性情感评估，旨在捕捉二元互动中人际感知的连续情感数据。基于情感的行为生态学视角，该方法将效价作为相关评价维度替换为接近与回避，反映行为被感知为增加或减少社交距离的程度。我们开展了一项研究，通过24名参与者实验验证该平台的有效性。在二元谈判情境中测试了工具的有效性，揭示了人际动态随时间演化的洞察。研究发现，连续情感评分方法与个体对整体互动的感知具有一致性。本文为情感计算领域不断增长的研究成果做出贡献，并为研究社交互动中情感与情绪时间动态的研究者提供了有价值的工具。