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Reducing negative driving emotions as a means to mitigate speeding, reckless overtaking, and aggressive driving behaviors is a viable approach. Among the potential methods, affective speech has been considered one of the most promising. However, research on humor-based affective speech interventions in the context of driving negative emotions is scarce, and the utilization of electroencephalogram (EEG) signals for emotion detection in humorous audio studies remains largely unexplored. Therefore, our study first designed a highly realistic experiment scenario to induce negative emotions experienced by drivers in congested traffic conditions. Subsequently, we collected drivers\u2019 EEG signals and subjective questionnaire ratings during the driving process. By employing one-way analysis of variance (ANOVA) and <jats:italic>t<\/jats:italic> tests, we analyzed the data to validate the success of our experiment in inducing negative emotions in drivers during congested road conditions and to assess the effectiveness of humorous audio in regulating drivers\u2019 negative emotions. The results indicated that humorous audio effectively alleviated drivers\u2019 negative emotions in congested road conditions, with a 145.84% increase in arousal and a 93.55% increase in valence ratings compared to control conditions. However, it should be noted that humorous audio only restored drivers\u2019 emotions to the level experienced during normal driving. Our findings offer novel insights into regulating drivers\u2019 negative emotions during congested road conditions.<\/jats:p>","DOI":"10.1186\/s13636-023-00302-w","type":"journal-article","created":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T01:02:05Z","timestamp":1694048525000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["The power of humorous audio: exploring emotion regulation in traffic congestion through EEG-based study"],"prefix":"10.1186","volume":"2023","author":[{"given":"Lekai","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yingfan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Kailun","family":"He","sequence":"additional","affiliation":[]},{"given":"Hailong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Baixi","family":"Xing","sequence":"additional","affiliation":[]},{"given":"Xiaofeng","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2497-9623","authenticated-orcid":false,"given":"Fo","family":"Hu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,7]]},"reference":[{"issue":"3","key":"302_CR1","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/S0005-7967(02)00014-1","volume":"41","author":"JL Deffenbacher","year":"2003","unstructured":"J.L. 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