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In recent decades, the arrival of new tools to help recognize human affect has inspired increasing interest in how to develop emotion-aware systems for cars. To help researchers make needed advances in this area, this article provides a comprehensive literature survey of work addressing the problem of human emotion recognition in an automotive context. We systematically review the literature back to 2002 and identify 63 peer-review published articles on this topic. We overview each study\u2019s methodology to measure and recognize emotions in the context of driving. Across the literature, we find a strong preference toward studying emotional states associated with high arousal and negative valence, monitoring the different states with cardiac, electrodermal activity, and speech signals, and using supervised machine learning to automatically infer the underlying human affective states. This article summarizes the existing work together with publicly available resources (e.g.,\u00a0datasets and tools) to help new researchers get started in this field. We also identify new research opportunities to help advance progress for improving driver emotion recognition.<\/jats:p>","DOI":"10.1145\/3388790","type":"journal-article","created":{"date-parts":[[2020,7,4]],"date-time":"2020-07-04T22:24:24Z","timestamp":1593901464000},"page":"1-30","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":216,"title":["Driver Emotion Recognition for Intelligent Vehicles"],"prefix":"10.1145","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1268-146X","authenticated-orcid":false,"given":"Sebastian","family":"Zepf","sequence":"first","affiliation":[{"name":"Mercedes-Benz AG, Sindelfingen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Javier","family":"Hernandez","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology, Cambridge, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Schmitt","sequence":"additional","affiliation":[{"name":"Mercedes-Benz AG, Sindelfingen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wolfgang","family":"Minker","sequence":"additional","affiliation":[{"name":"Ulm University, Ulm, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosalind W.","family":"Picard","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology, Cambridge, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,7,4]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. 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