{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T20:10:31Z","timestamp":1765311031692,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","funder":[{"name":"Guangzhou-HKUST(GZ) Joint Funding Scheme","award":["2025A03J3955"],"award-info":[{"award-number":["2025A03J3955"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755115","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:30:51Z","timestamp":1761377451000},"page":"6859-6867","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Consumer-Grade Cybersickness Prediction: Multi-Model Alignment for Real-Time Vision-Only Inference"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5717-3390","authenticated-orcid":false,"given":"Yitong","family":"Zhu","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0217-1685","authenticated-orcid":false,"given":"Zhuowen","family":"Liang","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5119-8140","authenticated-orcid":false,"given":"Yiming","family":"Wu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6157-9294","authenticated-orcid":false,"given":"Tangyao","family":"Li","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0242-8935","authenticated-orcid":false,"given":"Yuyang","family":"Wang","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2019.000-7"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/jcde\/qwab010"},{"key":"e_1_3_2_1_3_1","first-page":"567","article-title":"Challenges in Deploying EEG-Based Cybersickness Detection for Consumer VR Applications","volume":"14","author":"Chen Y.","year":"2020","unstructured":"Y. Chen and C. T. Lin. 2020. Challenges in Deploying EEG-Based Cybersickness Detection for Consumer VR Applications. Frontiers in Human Neuroscience 14 (2020), 567.","journal-title":"Frontiers in Human Neuroscience"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3675094.3677578"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Wei Fan Jingru Fei Dingyu Guo Kun Yi Xiaozhuang Song Haolong Xiang Hangting Ye and Min Li. 2025. MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. arXiv:2502.04515 [cs.LG] https:\/\/arxiv.org\/abs\/2502.04515","DOI":"10.1145\/3696410.3714514"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DUI.2016.7460053"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2018.00036"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/VRW52623.2021.00035"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR52148.2021.00017"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2023.104929"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3562939.3565667"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3659594"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/VR.2019.8798334"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3680533.3697068"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3615522.3615535"},{"volume-title":"Limitations of Optical Flow Features for VR Sickness Prediction in Dynamic Environments. In IEEE International Conference on Multimedia and Expo (ICME). 1--6.","author":"Kim H. G.","key":"e_1_3_2_1_16_1","unstructured":"H. G. Kim and Y. M. Ro. 2020. Limitations of Optical Flow Features for VR Sickness Prediction in Dynamic Environments. In IEEE International Conference on Multimedia and Expo (ICME). 1--6."},{"volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV). 10579--10588","author":"Kim J.","key":"e_1_3_2_1_17_1","unstructured":"J. Kim, W. Kim, H. Oh, S. Lee, and S. Lee. 2019. A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents. In IEEE\/CVF International Conference on Computer Vision (ICCV). 10579--10588."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01068"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190721"},{"key":"e_1_3_2_1_20_1","unstructured":"Ripan Kumar Kundu Rifatul Islam John Quarles and Khaza Anuarul Hoque. 2023. LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI. arXiv:2302.03037 [cs.HC] https:\/\/arxiv.org\/abs\/2302.03037"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/VRW52623.2021.00030"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2899186"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR59233.2023.00130"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR50242.2020.00065"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2793560"},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the ACM SIGGRAPH Symposium on Applied Perception. 1--8.","author":"Padmanaban N.","year":"2019","unstructured":"N. Padmanaban, T. Ruban, and G.Wetzstein. 2019. Dynamic Field-of-View Restriction for Cybersickness Reduction in VR. In Proceedings of the ACM SIGGRAPH Symposium on Applied Perception. 1--8."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104652"},{"key":"e_1_3_2_1_28_1","volume-title":"Ramaseri-Chandra and Hassan Reza","author":"Ananth","year":"2025","unstructured":"Ananth N. Ramaseri-Chandra and Hassan Reza. 2025. Dynamic Cybersickness Mitigation via Adaptive FFR and FoV adjustments. arXiv:2502.03419 [cs.HC] https:\/\/arxiv.org\/abs\/2502.03419"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2912125"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15326969eco0303_2"},{"key":"e_1_3_2_1_31_1","first-page":"2123","article-title":"Mitigating Visually Induced Motion Sickness Through Adaptive Motion Compensation in Virtual Environments","volume":"28","author":"Smith J.","year":"2021","unstructured":"J. Smith and S. Lee. 2021. Mitigating Visually Induced Motion Sickness Through Adaptive Motion Compensation in Virtual Environments. IEEE Transactions on Visualization and Computer Graphics 28, 4 (2021), 2123--2132.","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.3389\/frvir.2020.572924"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1186\/s41239-022-00349--3"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680810"},{"key":"e_1_3_2_1_35_1","unstructured":"Yixuan Wu Kaiyuan Hu Danny Z. Chen and Jian Wu. 2024. AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey. arXiv:2402.03093 [cs.CV] https:\/\/arxiv.org\/abs\/2402.03093"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T20:06:26Z","timestamp":1765310786000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":35,"alternative-id":["10.1145\/3746027.3755115","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755115","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}