{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T23:08:09Z","timestamp":1761865689249,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030893934"},{"type":"electronic","value":"9783030893941"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-89394-1_9","type":"book-chapter","created":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T23:02:47Z","timestamp":1635634967000},"page":"115-126","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Symbolic Machine Learning Approach for Cybersickness Potential-Cause Estimation"],"prefix":"10.1007","author":[{"given":"Thiago","family":"Porcino","sequence":"first","affiliation":[]},{"given":"Erick O.","family":"Rodrigues","sequence":"additional","affiliation":[]},{"given":"Flavia","family":"Bernardini","sequence":"additional","affiliation":[]},{"given":"Daniela","family":"Trevisan","sequence":"additional","affiliation":[]},{"given":"Esteban","family":"Clua","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,22]]},"reference":[{"issue":"3","key":"9_CR1","first-page":"159","volume":"3","author":"F Bernardini","year":"2006","unstructured":"Bernardini, F., Monard, M.C., Prati, R.: Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3(3), 159\u2013167 (2006)","journal-title":"Int. J. Hybrid Intell. Syst."},{"issue":"5","key":"9_CR2","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1016\/S0361-9230(98)00115-4","volume":"47","author":"W Bles","year":"1998","unstructured":"Bles, W., Bos, J.E., De Graaf, B., Groen, E., Wertheim, A.H.: Motion sickness: only one provocative conflict? Brain Res. Bull. 47(5), 481\u2013487 (1998)","journal-title":"Brain Res. Bull."},{"issue":"2","key":"9_CR3","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.displa.2007.09.002","volume":"29","author":"JE Bos","year":"2008","unstructured":"Bos, J.E., Bles, W., Groen, E.L.: A theory on visually induced motion sickness. Displays 29(2), 47\u201357 (2008)","journal-title":"Displays"},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Bouyer, G., Chellali, A., L\u00e9cuyer, A.: Inducing self-motion sensations in driving simulators using force-feedback and haptic motion. In: Virtual Reality (VR), pp. 84\u201390. IEEE (2017)","DOI":"10.1109\/VR.2017.7892234"},{"issue":"1","key":"9_CR5","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"9_CR6","unstructured":"Budhiraja, P., Miller, M.R., Modi, A.K., Forsyth, D.: Rotation blurring: use of artificial blurring to reduce cybersickness in virtual reality first person shooters. arXiv preprint arXiv:1710.02599 (2017)"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"2621","DOI":"10.1016\/j.csbj.2020.09.018","volume":"18","author":"M Calvelo","year":"2020","unstructured":"Calvelo, M., Pi\u00f1eiro, \u00c1., Garcia-Fandino, R.: An immersive journey to the molecular structure of SARS-CoV-2: virtual reality in Covid-19. Comput. Struct. Biotechnol. J. 18, 2621\u20132628 (2020)","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"9_CR8","unstructured":"Creighton, R.H.: Unity 3D Game Development by Example: A Seat-of-Your-Pants Manual for Building Fun, Groovy Little Games Quickly. Packt Publishing Ltd., New York (2010)"},{"key":"9_CR9","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.apergo.2016.06.014","volume":"58","author":"MS Dennison","year":"2017","unstructured":"Dennison, M.S., D\u2019Zmura, M.: Cybersickness without the wobble: experimental results speak against postural instability theory. Appl. Ergon. 58, 215\u2013223 (2017)","journal-title":"Appl. Ergon."},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Flach, P.: Machine Learning: The Art and Science of Algorithms That Make Sense of Data. Cambridge University Press, Cambridge (2012)","DOI":"10.1017\/CBO9780511973000"},{"key":"9_CR11","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"E Frank","year":"2016","unstructured":"Frank, E., Hall, M.A., Witten, I.H.: Data Mining: Practical Machine Learning Tools and Techniques, 4th edn. Morgan Kaufmann, Burlington (2016)","edition":"4"},{"issue":"6","key":"9_CR12","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1089\/g4h.2019.0045","volume":"8","author":"A Garcia-Agundez","year":"2019","unstructured":"Garcia-Agundez, A., et al.: Development of a classifier to determine factors causing cybersickness in virtual reality environments. Games Health J. 8(6), 439\u2013444 (2019)","journal-title":"Games Health J."},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Graves, A., Mohamed, A.R., Hinton, G.: Speech recognition with deep recurrent neural networks. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 6645\u20136649. IEEE (2013)","DOI":"10.1109\/ICASSP.2013.6638947"},{"issue":"3","key":"9_CR14","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1109\/TKDE.2005.50","volume":"17","author":"J Huang","year":"2005","unstructured":"Huang, J., Ling, C.X.: Using AUC and accuracy in evaluating learning algorithms. IEEE Trans. Knowl. Data Eng. 17(3), 299\u2013310 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Jeong, D., Yoo, S., Yun, J.: Cybersickness analysis with EEG using deep learning algorithms. In: 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), pp. 827\u2013835. IEEE (2019)","DOI":"10.1109\/VR.2019.8798334"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Jin, W., Fan, J., Gromala, D., Pasquier, P.: Automatic prediction of cybersickness for virtual reality games. In: 2018 IEEE Games, Entertainment, Media Conference (GEM), pp. 1\u20139. IEEE (2018)","DOI":"10.1109\/GEM.2018.8516469"},{"key":"9_CR17","doi-asserted-by":"publisher","unstructured":"Getting Rid of Cybersickness. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59342-1_6","DOI":"10.1007\/978-3-030-59342-1_6"},{"key":"9_CR18","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.apergo.2017.12.016","volume":"69","author":"HK Kim","year":"2018","unstructured":"Kim, H.K., 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":"9_CR19","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. In: Proceedings of IEEE International Conference on Computer Vision, pp. 10580\u201310589 (2019)","DOI":"10.1109\/ICCV.2019.01068"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Kolasinski, E.M.: Simulator sickness in virtual environments. Technical report, DTIC Document (1995)","DOI":"10.21236\/ADA295861"},{"issue":"5","key":"9_CR21","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1016\/S0097-8493(00)00070-4","volume":"24","author":"U K\u00fchnapfel","year":"2000","unstructured":"K\u00fchnapfel, U., Cakmak, H.K., Maa\u00df, H.: Endoscopic surgery training using virtual reality and deformable tissue simulation. Comput. Graph. 24(5), 671\u2013682 (2000)","journal-title":"Comput. Graph."},{"issue":"1","key":"9_CR22","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/72.554195","volume":"8","author":"S Lawrence","year":"1997","unstructured":"Lawrence, S., Giles, C.L., Tsoi, A.C., Back, A.D.: Face recognition: a convolutional neural-network approach. IEEE Trans. Neural Netw. 8(1), 98\u2013113 (1997)","journal-title":"IEEE Trans. Neural Netw."},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"Maree, C., Omlin, C.W.: Towards responsible AI for financial transactions. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 16\u201321. IEEE (2020)","DOI":"10.1109\/SSCI47803.2020.9308456"},{"key":"9_CR24","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"9_CR25","unstructured":"Porcino, T.: Cybersickness Dataset. https:\/\/github.com\/tmp1986\/UFFCSData. Accessed 7 July 2021"},{"key":"9_CR26","doi-asserted-by":"crossref","unstructured":"Porcino, T., Rodrigues, E.O., Silva, A., Clua, E., Trevisan, D.: Using the gameplay and user data to predict and identify causes of cybersickness manifestation in virtual reality games. In: 2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH), pp. 1\u20138. IEEE (2020)","DOI":"10.1109\/SeGAH49190.2020.9201649"},{"key":"9_CR27","doi-asserted-by":"crossref","unstructured":"Porcino, T., Trevisan, D., Clua, E.: Minimizing cybersickness in head-mounted display systems: causes and strategies review. In: 2020 22nd Symposium on Virtual and Augmented Reality (SVR), pp. 154\u2013163. IEEE (2020)","DOI":"10.1109\/SVR51698.2020.00035"},{"issue":"2","key":"9_CR28","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, C.: Review on cybersickness in applications and visual displays. Virtual Reality 20(2), 101\u2013125 (2016). https:\/\/doi.org\/10.1007\/s10055-016-0285-9","journal-title":"Virtual Reality"},{"key":"9_CR29","unstructured":"Rebenitsch, L.R.: Cybersickness Prioritization and Modeling. Michigan State University (2015)"},{"key":"9_CR30","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.patcog.2018.06.010","volume":"84","author":"EO Rodrigues","year":"2018","unstructured":"Rodrigues, E.O., Conci, A., Liatsis, P.: Morphological classifiers. Pattern Recogn. 84, 82\u201396 (2018)","journal-title":"Pattern Recogn."},{"key":"9_CR31","doi-asserted-by":"crossref","unstructured":"Sak, H., Senior, A.W., Beaufays, F.: Long short-term memory recurrent neural network architectures for large scale acoustic modeling (2014)","DOI":"10.21437\/Interspeech.2014-80"},{"key":"9_CR32","unstructured":"Statista, A.: The statistics portal (2020). https:\/\/www.statista.com\/statistics\/591181\/global-augmented-virtual-reality-market-size\/"},{"key":"9_CR33","doi-asserted-by":"crossref","unstructured":"Van Waveren, J.: The asynchronous time warp for virtual reality on consumer hardware. In: Proceedings of 22nd ACM Conference on Virtual Reality Software and Technology, pp. 37\u201346 (2016)","DOI":"10.1145\/2993369.2993375"}],"container-title":["Lecture Notes in Computer Science","Entertainment Computing \u2013 ICEC 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-89394-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T23:03:12Z","timestamp":1761865392000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-89394-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030893934","9783030893941"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-89394-1_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICEC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Entertainment Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Coimbra","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwec2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifip-icec2021.dei.uc.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"84","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.38","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"In addition, there were 11 other papers accepted, including workshops, tutorials, and competition papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}