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Pharmacological interventions are limited by adverse side effects, and effective nonpharmacological alternatives remain to be identified. Here, we introduce a novel attention\u2010shifting method based on a closed\u2010loop, artificial intelligence (AI)\u2010driven, wearable mindfulness brain\u2013computer interface (BCI) to alleviate car sickness. As the user performs an attentional task, i.e., focusing on breathing as in mindfulness, with a wearable headband, the BCI collects and analyzes electroencephalography (EEG) data via a convolutional neural network to assess the user's mindfulness state and provide real\u2010time audiovisual feedback. This approach might sustainedly shift the user's attention from physiological discomfort toward the BCI\u2010based mindfulness practices, thereby mitigating car sickness symptoms. The efficacy of the proposed method was rigorously evaluated in two real\u2010world experiments, namely, short and long car rides, with a large cohort of more than 100 participants susceptible to car sickness. Remarkably, over 83% of the participants rated the BCI\u2010based attention shifting as effective, with significant reductions in car sickness severity, particularly in individuals with severe symptoms. Furthermore, EEG data analysis revealed a neurobiological signature of car sickness, which provided mechanistic insights into the efficacy of the BCI\u2010based attention shifting for alleviating car sickness. This study proposes a wearable, nonpharmacological intervention for car sickness, validated in a relatively large\u2010scale study involving over 100 participants in real\u2010world car riding. These findings, derived from a between\u2010cohort comparison, support the potential of this approach to improve the travel experience for car sickness sufferers and represent a novel practical application of BCI\u00a0technology.<\/jats:p>","DOI":"10.1002\/advs.202513040","type":"journal-article","created":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T10:51:19Z","timestamp":1771584679000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Wearable Brain\u2013Computer Interface for Mitigating Car Sickness via Attention Shifting"],"prefix":"10.1002","volume":"13","author":[{"given":"Jiawei","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Automation Science and Engineering South China University of Technology Guangzhou China"},{"name":"Research Center for Brain\u2013Computer Interface Pazhou Laboratory Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Bao","sequence":"additional","affiliation":[{"name":"School of Automation Science and Engineering South China University of Technology Guangzhou China"},{"name":"Research Center for Brain\u2013Computer Interface Pazhou Laboratory Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiyun","family":"Huang","sequence":"additional","affiliation":[{"name":"Research Center for Brain\u2013Computer Interface Pazhou Laboratory Guangzhou China"},{"name":"School of Future Technology South China University of Technology Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Wang","sequence":"additional","affiliation":[{"name":"Huizhou Desay SV Automotive Co., Ltd. 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