College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China.
School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China.
Sci Data. 2022 Aug 6;9(1):481. doi: 10.1038/s41597-022-01557-2.
Human emotions are integral to daily tasks, and driving is now a typical daily task. Creating a multi-modal human emotion dataset in driving tasks is an essential step in human emotion studies. we conducted three experiments to collect multimodal psychological, physiological and behavioural dataset for human emotions (PPB-Emo). In Experiment I, 27 participants were recruited, the in-depth interview method was employed to explore the driver's viewpoints on driving scenarios that induce different emotions. For Experiment II, 409 participants were recruited, a questionnaire survey was conducted to obtain driving scenarios information that induces human drivers to produce specific emotions, and the results were used as the basis for selecting video-audio stimulus materials. In Experiment III, 40 participants were recruited, and the psychological data and physiological data, as well as their behavioural data were collected of all participants in 280 times driving tasks. The PPB-Emo dataset will largely support the analysis of human emotion in driving tasks. Moreover, The PPB-Emo dataset will also benefit human emotion research in other daily tasks.
人类情感是日常生活任务的重要组成部分，而驾驶现在是一项典型的日常任务。创建驾驶任务中的多模态人类情感数据集是人类情感研究的重要步骤。我们进行了三项实验，以收集用于人类情感的多模态心理、生理和行为数据集（PPB-Emo）。在实验 I 中，招募了 27 名参与者，采用深度访谈方法来探索驾驶员对引起不同情感的驾驶场景的看法。在实验 II 中，招募了 409 名参与者，进行了问卷调查，以获取引发人类驾驶员产生特定情感的驾驶场景信息，结果被用作选择视频-音频刺激材料的基础。在实验 III 中，招募了 40 名参与者，在 280 次驾驶任务中收集了所有参与者的心理数据、生理数据和行为数据。PPB-Emo 数据集将极大地支持对驾驶任务中人类情感的分析。此外，PPB-Emo 数据集还将有益于其他日常任务中的人类情感研究。
