Physiological signals hold immense potential for ubiquitous emotion monitoring, presenting numerous applications in emotion recognition. However, harnessing this potential is hindered by significant challenges, particularly in the collection of annotations that align with physiological changes since the process hinges heavily on human participants. In this work, we set out to study human participant perspectives in the emotion data collection procedure. We conducted a lab-based emotion data collection study with 37 participants using 360 degree virtual reality video stimulus followed by semi-structured interviews with the study participants. Our findings presented that intrinsic factors like participant perception, experiment design nuances, and experiment setup suitability impact their emotional response and annotation within lab settings. Drawing from our findings and prior research, we propose recommendations for incorporating participant context into annotations and emphasizing participant-centric experiment designs. Furthermore, we explore current emotion data collection practices followed by AI practitioners and offer insights for future contributions leveraging physiological emotion data.

翻译：生理信号在泛在情感监测方面具有巨大潜力，为情感识别领域提供了众多应用前景。然而，实现这一潜力面临重大挑战，特别是在采集与生理变化同步的标注数据方面，因为该过程高度依赖人类参与者的配合。本研究旨在探讨情感数据收集中的人类参与者视角。我们通过360度虚拟现实视频刺激对37名参与者进行了实验室情感数据采集研究，随后对参与者进行了半结构化访谈。研究发现，参与者感知、实验设计细节及实验环境适宜性等内在因素会影响其在实验室环境中的情感反应与标注行为。基于研究结果与既有文献，我们提出将参与者情境纳入标注体系、强调以参与者为中心的实验设计等建议。此外，我们分析了当前AI研究者采用的情感数据采集实践，并为未来利用生理情感数据的研究方向提供了见解。