{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T15:34:18Z","timestamp":1777736058436,"version":"3.51.4"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2021JBM028"],"award-info":[{"award-number":["2021JBM028"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["CCF Trans. Pervasive Comp. Interact."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s42486-022-00103-8","type":"journal-article","created":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T11:03:53Z","timestamp":1653303833000},"page":"268-284","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Bio-physiological-signals-based VR cybersickness detection"],"prefix":"10.1007","volume":"4","author":[{"given":"Chenxin","family":"Qu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5651-6909","authenticated-orcid":false,"given":"Xiaoping","family":"Che","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siqi","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuqin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,23]]},"reference":[{"key":"103_CR32","doi-asserted-by":"crossref","unstructured":"Bakker, J., Pechenizkiy, M., Sidorova, N.: What\u2019s your current stress level? Detection of stress patterns from gsr sensor data. ICDM Workshops, 573\u2013580 (2011)","DOI":"10.1109\/ICDMW.2011.178"},{"key":"103_CR15","doi-asserted-by":"crossref","unstructured":"Chertoff, B.D., Goldiez, B., LaViola, J.J.: Virtual experience test: A virtual environment evaluation questionnaire. VR, 103\u2013110 (2010)","DOI":"10.1109\/VR.2010.5444804"},{"key":"103_CR31","doi-asserted-by":"crossref","unstructured":"Cho, D., Ham, J., Oh, J., Park, J., Kim, S., Lee, N.-K., Lee, B.: Detection of stress levels from biosignals measured in virtual reality environments using a kernel-based extreme learning machine. SENSORS 17(10), 2435 (2017)","DOI":"10.3390\/s17102435"},{"key":"103_CR10","unstructured":"Davis, S., Nesbitt, K., Nalivaiko, E.: A systematic review of cybersickness. I3E, 8\u2013189 (2014)"},{"key":"103_CR35","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.displa.2016.07.002","volume":"44","author":"SM Dennison","year":"2016","unstructured":"Dennison, S.M., Wisti, Z.A., D\u2019Zmura, M.: Use of physiological signals to predict cybersickness. Displays 44, 42\u201352 (2016)","journal-title":"Displays"},{"key":"103_CR24","doi-asserted-by":"publisher","first-page":"1670","DOI":"10.1152\/japplphysiol.00338.2018","volume":"125","author":"MA Gavgani","year":"2018","unstructured":"Gavgani, M.A., Walker, R.F., Hodgson, M.D., Nalivaiko, E.: A comparative study of cybersickness during exposure to virtual reality and \u201cclassic\u201d motion sickness: are they different? J. Appl. Physiol. 125, 1670\u20131680 (2018)","journal-title":"J. Appl. Physiol."},{"issue":"1","key":"103_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-017-13153-1","volume":"7","author":"SM Gerber","year":"2017","unstructured":"Gerber, S.M., Jeitziner, M.-M., Wyss, P., Chesham, A., Urwyler, P., M\u00fcri, R.M., Jakob, S.M., Nef, T.: Visuo-acoustic stimulation that helps you to relax: a virtual reality setup for patients in the intensive care unit. Sci. Rep. 7(1), 1\u201310 (2017)","journal-title":"Sci. Rep."},{"key":"103_CR1","unstructured":"Green, P.: Motion sickness and concerns for self-driving vehicles: a literature review. Tech. Rep. UMTRI-2016), Ann Arbor, MI Univ. Michigan Transp. Res. Institute. (2016)"},{"key":"103_CR22","unstructured":"Harm, D.L.: Physiology of motion sickness symptoms. In Crampton, G.H. (ed.) Motion and space sickness. CRC Press, Boca Raton (1990)"},{"key":"103_CR3","doi-asserted-by":"crossref","unstructured":"Harms, J., Seitz, D., Wimmer, C., Kappel, K., Grechenig, T.: Low-cost gamification of online surveys: improving the user experience through achievement badges. CHI PLAY 109\u2013113 (2015)","DOI":"10.1145\/2793107.2793146"},{"key":"103_CR18","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1109\/TITS.2005.848368","volume":"6","author":"J Healey","year":"2005","unstructured":"Healey, J., Picard, R.: Detecting stress during real-world driving tasks. IEEE Transact. Intell. Transport. Syst. 6, 156 (2005)","journal-title":"IEEE Transact. Intell. Transport. Syst."},{"key":"103_CR38","doi-asserted-by":"crossref","unstructured":"Hinkle, L., Khoshhal, K., Metsis, V.: Physiological measurement for emotion recognition in virtual reality. In: 2019 2nd International Conference on Data Intelligence and Security (ICDIS), pp. 136\u2013143 (2019). IEEE","DOI":"10.1109\/ICDIS.2019.00028"},{"key":"103_CR30","doi-asserted-by":"crossref","unstructured":"Hristova, E., Grinberg, M., Lalev, E.: Biosignal based emotion analysis of human-agent interactions. Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions, 63\u201375 (2009)","DOI":"10.1007\/978-3-642-03320-9_7"},{"key":"103_CR37","doi-asserted-by":"crossref","unstructured":"Islam, R., Lee, Y., Jaloli, M., Muhammad, I., Zhu, D., Quarles, J.: Automatic detection of cybersickness from physiological signal in a virtual roller coaster simulation. VR Workshops, 649\u2013650 (2020)","DOI":"10.1109\/VRW50115.2020.00175"},{"key":"103_CR43","doi-asserted-by":"crossref","unstructured":"Jeong, D.K., Yoo, S., Jang, Y.: Vr sickness measurement with eeg using dnn algorithm. In: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, pp. 1\u20132 (2018)","DOI":"10.1145\/3281505.3283387"},{"key":"103_CR36","doi-asserted-by":"crossref","unstructured":"Jeong, K.D., Yoo, S., Jang, Y.: Cybersickness analysis with eeg using deep learning algorithms. VR, 827\u2013835 (2019)","DOI":"10.1109\/VR.2019.8798334"},{"key":"103_CR9","doi-asserted-by":"crossref","unstructured":"Jin, W., Fan, J., Gromala, D., Pasquier, P.: Automatic prediction of cybersickness for virtual reality games. GEM, 1\u20139 (2018)","DOI":"10.1109\/GEM.2018.8516469"},{"key":"103_CR25","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1177\/0018720811403736","volume":"53","author":"B Keshavarz","year":"2011","unstructured":"Keshavarz, B., Hecht, H.: Validating an efficient method to quantify motion sickness. Human Factors 53, 415\u2013426 (2011)","journal-title":"Human Factors"},{"key":"103_CR41","doi-asserted-by":"crossref","unstructured":"Kim, H.G., Baddar, W.J., Lim, H.-t., Jeong, H., Ro, Y.M.: Measurement of exceptional motion in vr video contents for vr sickness assessment using deep convolutional autoencoder. In: Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, pp. 1\u20137 (2017)","DOI":"10.1145\/3139131.3139137"},{"key":"103_CR16","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.apergo.2017.12.016","volume":"69","author":"KH Kim","year":"2018","unstructured":"Kim, K.H., Park, J., Choi, Y., Choe, M.: Virtual reality sickness questionnaire (vrsq): motion sickness measurement index in a virtual reality environment. Appl. Ergon. 69, 66\u201373 (2018)","journal-title":"Appl. Ergon."},{"key":"103_CR13","doi-asserted-by":"crossref","unstructured":"Kim, J., Kim, W., Oh, H., Lee, S., Lee, S.: A deep cybersickness predictor based on brain signal analysis for virtual reality contents. ICCV, 10579\u201310588 (2019)","DOI":"10.1109\/ICCV.2019.01068"},{"key":"103_CR34","first-page":"262","volume":"14","author":"T Kiryu","year":"2007","unstructured":"Kiryu, T., Uchiyama, E., Jimbo, M., Iijima, A.: Time-varying factors model with different time-scales for studying cybersickness. HCI 14, 262\u2013269 (2007)","journal-title":"HCI"},{"key":"103_CR6","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1145\/333329.333344","volume":"32","author":"JJ Laviola","year":"2000","unstructured":"Laviola, J.J.: A discussion of cybersickness in virtual environments. ACM SIGCHI Bull. 32, 47\u201356 (2000)","journal-title":"ACM SIGCHI Bull."},{"key":"103_CR40","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.bspc.2018.12.007","volume":"49","author":"Y Li","year":"2019","unstructured":"Li, Y., Liu, A., Ding, L.: Machine learning assessment of visually induced motion sickness levels based on multiple biosignals. Biomed Signal Process Control 49, 202\u2013211 (2019)","journal-title":"Biomed Signal Process Control"},{"key":"103_CR28","unstructured":"Martin, N., Mathieu, N., Pallamin, N., Ragot, M., Diverrez, J.-M.: Automatic recognition of virtual reality sickness based on physiological signals. In: IBC (2018)"},{"key":"103_CR2","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1162\/pres.1992.1.3.311","volume":"1","author":"EM McCauley","year":"1992","unstructured":"McCauley, E.M., Sharkey, J.T.: Cybersickness: perception of self-motion in virtual environments. Teleoperators Virtual Environ. 1, 311\u2013318 (1992)","journal-title":"Teleoperators Virtual Environ."},{"key":"103_CR4","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1016\/j.physbeh.2015.08.043","volume":"151","author":"E Nalivaiko","year":"2015","unstructured":"Nalivaiko, E., Davis, S., Blackmore, K., Vakulin, A., Nesbitt, K.: Cybersickness provoked by head-mounted display affects cutaneous vascular tone, heart rate and reaction time. Physiol. Behav. 151, 583\u2013590 (2015)","journal-title":"Physiol. Behav."},{"key":"103_CR29","doi-asserted-by":"crossref","unstructured":"Nam, S.-H., Lee, Y.J., Kim, Y.J.: Biological-signal-based user-interface system for virtual-reality applications for healthcare. J. Sens 9054758\u20131905475810 (2018)","DOI":"10.1155\/2018\/9054758"},{"key":"103_CR23","doi-asserted-by":"crossref","unstructured":"Ng, K.T.A., Chan, K.Y.L., Lau, Y.K.H.: A study of cybersickness and sensory conflict theory using a motion-coupled virtual reality system. Displays 61, 101922 (2020)","DOI":"10.1016\/j.displa.2019.08.004"},{"key":"103_CR39","doi-asserted-by":"crossref","unstructured":"Pane, E.S., Khoirunnisaa, A.Z., Wibawa, A.D., Purnomo, M.H.: Identifying severity level of cybersickness from eeg signals using cn2 rule induction algorithm. In: 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), vol. 3, pp. 170\u2013176 (2018). IEEE","DOI":"10.1109\/ICIIBMS.2018.8549968"},{"key":"103_CR5","volume-title":"Motion sickness","author":"J.T Reason","year":"1975","unstructured":"Reason, J..T., Brand, J..J.: Motion sickness. Academic press, Cambridge (1975)"},{"key":"103_CR11","volume-title":"Cybersickness prioritization and modeling","author":"LR Rebenitsch","year":"2015","unstructured":"Rebenitsch, L.R.: Cybersickness prioritization and modeling. Michigan State University, Michigan (2015)"},{"key":"103_CR33","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s10055-016-0285-9","volume":"20","author":"L Rebenitsch","year":"2016","unstructured":"Rebenitsch, L., Owen, B.C.: Review on cybersickness in applications and visual displays. Virtual Reality 20, 101\u2013125 (2016)","journal-title":"Virtual Reality"},{"key":"103_CR8","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1207\/s15326969eco0303_2","volume":"3","author":"EG Riccio","year":"2010","unstructured":"Riccio, E.G., Stoffregen, A.T.: An ecological theory of motion sickness and postural instability. Ecol. Psychol. 3, 195\u2013240 (2010)","journal-title":"Ecol. Psychol."},{"key":"103_CR44","doi-asserted-by":"crossref","unstructured":"Sarkar, P., Ross, K., Ruberto, A.J., Rodenburg, D., Hungler, P., Etemad, A.: Classification of cognitive load and expertise for adaptive simulation using deep multitask learning. In: 8th International Conference on Affective Computing and Intelligent Interaction, ACII 2019, Cambridge, United Kingdom, September 3-6, 2019, pp. 1\u20137. IEEE, ??? (2019)","DOI":"10.1109\/ACII.2019.8925507"},{"key":"103_CR14","doi-asserted-by":"crossref","unstructured":"Schrepp, M., Cota, P.M., Gon\u00e7alves, R., Hinderks, A., Thomaschewski, J.: Adaption of user experience questionnaires for different user groups. Universal Access in the Information Society, 629\u2013640 (2017)","DOI":"10.1007\/s10209-016-0485-9"},{"key":"103_CR26","doi-asserted-by":"crossref","unstructured":"Sevinc, V., Berkman, I.M.: Psychometric evaluation of simulator sickness questionnaire and its variants as a measure of cybersickness in consumer virtual environments. Applied Ergonomics 82, 102958 (2020)","DOI":"10.1016\/j.apergo.2019.102958"},{"key":"103_CR12","doi-asserted-by":"crossref","unstructured":"StanneyKay, M.: HashPhillip: Locus of user-initiated control in virtual environments. Teleoperators & Virtual Environments, Presence (1998)","DOI":"10.1162\/105474698565848"},{"key":"103_CR20","doi-asserted-by":"crossref","unstructured":"Tcha-Tokey, K., Loup-Escande, E., Christmann, O., Richir, S.: A questionnaire to measure the user experience in immersive virtual environments. VRIC, 19\u20131195 (2016)","DOI":"10.1145\/2927929.2927955"},{"key":"103_CR7","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1126\/science.301659","volume":"197","author":"M Treisman","year":"1977","unstructured":"Treisman, M.: Motion sickness: an evolutionary hypothesis. Science 197, 493\u2013495 (1977)","journal-title":"Science"},{"key":"103_CR17","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1007\/978-3-319-91806-8_57","volume-title":"Design, user experience, and usability: users, contexts and case studies","author":"Y Trindade","year":"2018","unstructured":"Trindade, Y., Rebelo, F., Noriega, P.: Tourism and virtual reality: user experience evaluation of a virtual environment prototype. In: Marcus, A., Wang, W. (eds.) Design, user experience, and usability: users, contexts and case studies, pp. 730\u2013742. Springer, Cham (2018)"},{"key":"103_CR27","doi-asserted-by":"crossref","unstructured":"Wang, Y., Chardonnet, J.-R., M\u00e9rienne, F.: Vr sickness prediction for navigation in immersive virtual environments using a deep long short term memory model. VR, 1874\u20131881 (2019)","DOI":"10.1109\/VR.2019.8798213"},{"key":"103_CR19","doi-asserted-by":"crossref","unstructured":"Yao, L., Liu, Y., Li, W., Zhou, L., Ge, Y., Chai, J., Sun, X.: Using physiological measures to evaluate user experience of mobile applications. Lecture Notes in Computer Science, 301\u2013310 (2014)","DOI":"10.1007\/978-3-319-07515-0_31"},{"key":"103_CR21","doi-asserted-by":"publisher","first-page":"49067","DOI":"10.1109\/ACCESS.2018.2859440","volume":"6","author":"Q Yu","year":"2018","unstructured":"Yu, Q., Che, X., Ma, S., Pan, S., Yang, Y., Xing, W., Wang, X.: A hybrid user experience evaluation method for mobile games. IEEE Access 6, 49067\u201349079 (2018)","journal-title":"IEEE Access"}],"container-title":["CCF Transactions on Pervasive Computing and Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42486-022-00103-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42486-022-00103-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42486-022-00103-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T12:46:14Z","timestamp":1744202774000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42486-022-00103-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":44,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["103"],"URL":"https:\/\/doi.org\/10.1007\/s42486-022-00103-8","relation":{},"ISSN":["2524-521X","2524-5228"],"issn-type":[{"value":"2524-521X","type":"print"},{"value":"2524-5228","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,23]]},"assertion":[{"value":"29 November 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}