{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T07:05:12Z","timestamp":1774595112704,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T00:00:00Z","timestamp":1769385600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T00:00:00Z","timestamp":1769385600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006754","name":"Army Research Laboratory","doi-asserted-by":"publisher","award":["W911NF-2.4-2-0035"],"award-info":[{"award-number":["W911NF-2.4-2-0035"]}],"id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,26]]},"DOI":"10.1109\/aixvr67263.2026.00044","type":"proceedings-article","created":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T19:48:34Z","timestamp":1774554514000},"page":"253-257","source":"Crossref","is-referenced-by-count":0,"title":["A Comparative Study of Data Augmentation Methods for Improving Cybersickness Prediction"],"prefix":"10.1109","author":[{"given":"Purnata","family":"Saha","sequence":"first","affiliation":[{"name":"University of Texas at San Antonio"}]},{"given":"Jyotirmay Nag","family":"Setu","sequence":"additional","affiliation":[{"name":"University of Texas at San Antonio"}]},{"given":"Anjan","family":"Dev","sequence":"additional","affiliation":[{"name":"University of Texas at San Antonio"}]},{"given":"Rifatul","family":"Islam","sequence":"additional","affiliation":[{"name":"Kennesaw State University"}]},{"given":"Maryam","family":"Tabar","sequence":"additional","affiliation":[{"name":"University of Texas at San Antonio"}]},{"given":"John","family":"Quarles","sequence":"additional","affiliation":[{"name":"University of Texas at San Antonio"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-1747-0_17"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2745"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3791\/55872"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3675094.3677578"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCTA.2007.126"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.062"},{"key":"ref7","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR52148.2021.00017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR55827.2022.00026"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR50242.2020.00066"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.31274\/td-20250502-278"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3659594"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/VR.2019.8798334"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2979608"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.16910\/jemr.10.3.3"},{"key":"ref16","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR62088.2024.00121"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40669-0_33"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s12193-022-00388-0"},{"key":"ref20","article-title":"Wemix: How to better utilize data augmentation","author":"Xu","year":"2020","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/frvir.2024.1364207"}],"event":{"name":"2026 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)","location":"Osaka, Japan","start":{"date-parts":[[2026,1,26]]},"end":{"date-parts":[[2026,1,28]]}},"container-title":["2026 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11449931\/11449932\/11449986.pdf?arnumber=11449986","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T05:31:58Z","timestamp":1774589518000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11449986\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,26]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/aixvr67263.2026.00044","relation":{},"subject":[],"published":{"date-parts":[[2026,1,26]]}}}