The emotional reactions to social exclusion can be associated with physiological responses that could allow researchers to estimate the valence and intensity of the ongoing affective state. In this work, respiratory activity was analysed to verify whether breathing rate variations can be considered as predictive factors of subsequent positive and negative affect after inclusion and exclusion in young women. A standard Cyberball task was implemented and manipulated information was provided to the participants to create both conditions. The participants were socially excluded by limiting their participation to 6% of the total number of passes among three teammates and providing negative feedback about them. The results suggest that breathing rate can be a good option to infer subjective feelings during social interactions and a promising feature to incorporate into modern emotion monitoring systems as an alternative to other physiological measures. Furthermore, the interaction between metaemotion and physiology was studied by recording breathing rate while completing the Positive and Negative Affect Schedule, evidencing a breathing rate increase during the emotion self-assessment only after exclusion.

对社会排斥的情绪反应可能与生理反应有关，这可以让研究人员估计正在进行的情感状态的效价和强度。在这项工作中，分析了呼吸活动，以验证是否可以将呼吸频率变化视为年轻女性纳入和排除后后续积极和消极影响的预测因素。实施了标准的 Cyber​​ball 任务，并向参与者提供了操纵信息以创造这两种条件。通过将参与者的参与限制在三名队友传球总数的 6% 并提供有关他们的负面反馈，参与者被社会排除在外。结果表明，呼吸频率可能是在社交互动中推断主观感受的好选择，也是融入现代情绪监测系统作为其他生理测量的替代方案的有希望的特征。此外，通过在完成正面和负面影响计划时记录呼吸频率来研究元情绪和生理学之间的相互作用，证明只有在排除后情绪自我评估期间呼吸频率才会增加。