Abstract
AbstractTo better understand the psychological and physiological basis of human emotion, increasing interest has been drawn towards ambulatory recordings of emotion-related data beyond the laboratories. By employing smartphones-based ambulatory assessment and wrist-worn physiological recording devices, the Daily Ambulatory Psychological and Physiological recording for Emotion Research (DAPPER) dataset provides momentary self-reports and physiological data of people’s emotional experiences in their daily life. The dataset consists of ambulatory psychological recordings from 142 participants and physiological recordings from 88 of them over five days. Both the experience sampling method (ESM) and the day reconstruction method (DRM) were employed to have a comprehensive description of the participants’ daily emotional experiences. Heart rate, galvanic skin response, and three-axis acceleration were recorded during the day time. By including multiple types of physiological and self-report data at a scale of five days with 100+ participants, the present dataset is expected to promote emotion researches in real-life, daily settings.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference62 articles.
1. Bradley, M. M. & Lang, P. J. Affective reactions to acoustic stimuli. Psychophysiology 37, 204–215 (2000).
2. Baveye, Y., Dellandrea, E., Chamaret, C. & Chen, L. LIRIS- ACCEDE: A video database for affective content analysis. IEEE Transactions on Affective Computing 6, 43–55 (2015).
3. Ge, Y., Zhao, G., Zhang, Y., Houston, R. J. & Song, J. A standardised database of Chinese emotional film clips. Cognition and Emotion 33, 976–990 (2019).
4. Lang, P., & Bradley, M. M. The International Affective Picture System (IAPS) in the study of emotion and attention. Handbook of emotion elicitation and assessment (New York: Oxford Univ. Press, 2007).
5. Strapparava, C., & Valitutti, A. Wordnet affect: an affective extension of wordnet. Proceedings of the 4th international conference on language resources and evaluation (2004).
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献