Katharina Margareta Theresa Pöhlmann
Horia A. Maior
ABSTRACT
Virtual Reality (VR) applications commonly use the illusion of self-motion (vection) to simulate experiences such as running, driving, or flying. However, this can lead to cybersickness, which diminishes the experience of users, and can even lead to disengagement with this platform. In this paper we present a study in which we show that users performing a cognitive task while experiencing a VR rollercoaster reported reduced symptoms of cybersickness. Furthermore, we collected and analysed brain activity data from our participants during their experience using functional near infra-red spectroscopy (fNIRS): preliminary analysis suggests the possibility that this technology may be able to detect the experience of cybersickness. Together, these results can assist the creators of VR experiences, both through mitigation of cybersickness in the design process, and by better understanding the experiences of their users.
Supplemental Material
- Androu Abdalmalak, Daniel Milej, Lawrence Yip, Ali R Khan, Mamadou Diop, Adrian M Owen, and Keith St Lawrence. 2020. Assessing time-resolved fNIRS for brain-computer interface applications of mental communication. Frontiers in Neuroscience(2020), 105.Google Scholar
- Samuel Ang and John Quarles. 2020. GingerVR: An Open Source Repository of Cybersickness Reduction Techniques for Unity. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 460–463.Google Scholar
- Hasan Ayaz, Patricia A Shewokis, Scott Bunce, Kurtulus Izzetoglu, Ben Willems, and Banu Onaral. 2012. Optical brain monitoring for operator training and mental workload assessment. Neuroimage 59, 1 (2012), 36–47.Google ScholarCross Ref
- J Bacca, S Baldiris, R Fabregat, S Graf, and G Kinshuk. 2014. Augmented Reality Trends in Education: A Systematic Review of Research and Applications. Educational Technology & Society, 17 (4), 133-149.(2014).Google Scholar
- Jonathan Z Bakdash and Laura R Marusich. 2017. Repeated measures correlation. Frontiers in psychology 8 (2017), 456.Google Scholar
- Jeffrey W Barker, Ardalan Aarabi, and Theodore J Huppert. 2013. Autoregressive model based algorithm for correcting motion and serially correlated errors in fNIRS. Biomedical optics express 4, 8 (2013), 1366–1379.Google Scholar
- Robert CA Bendall, Peter Eachus, and Catherine Thompson. 2016. A brief review of research using near-infrared spectroscopy to measure activation of the prefrontal cortex during emotional processing: the importance of experimental design. Frontiers in human neuroscience 10 (2016), 529.Google Scholar
- Alexandra Bendixen and Søren K Andersen. 2013. Measuring target detection performance in paradigms with high event rates. Clinical Neurophysiology 124, 5 (2013), 928–940.Google ScholarCross Ref
- Yoav Benjamini and Yosef Hochberg. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological) 57, 1(1995), 289–300.Google ScholarCross Ref
- Jelte E Bos. 2015. Less sickness with more motion and/or mental distraction. Journal of Vestibular Research 25, 1 (2015), 23–33.Google ScholarCross Ref
- Marie-Stéphanie Bracq, Estelle Michinov, Bruno Arnaldi, Benoît Caillaud, Bernard Gibaud, Valérie Gouranton, and Pierre Jannin. 2019. Learning procedural skills with a virtual reality simulator: An acceptability study. Nurse education today 79(2019), 153–160.Google Scholar
- Scott C Bunce, Kurtulus Izzetoglu, Hasan Ayaz, Patricia Shewokis, Meltem Izzetoglu, Kambiz Pourrezaei, and Banu Onaral. 2011. Implementation of fNIRS for monitoring levels of expertise and mental workload. In International Conference on Foundations of Augmented Cognition. Springer, 13–22.Google ScholarCross Ref
- Ufuk Celikcan. 2019. Detection and Mitigation of Cybersickness via EEG-Based Visual Comfort Improvement. In 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). IEEE, 1–4.Google ScholarCross Ref
- Yu-Chieh Chen, Jeng-Ren Duann, Shang-Wen Chuang, Chun-Ling Lin, Li-Wei Ko, Tzyy-Ping Jung, and Chin-Teng Lin. 2010. Spatial and temporal EEG dynamics of motion sickness. NeuroImage 49, 3 (2010), 2862–2870.Google ScholarCross Ref
- Shang-Wen Chuang, Chun-Hsiang Chuang, Yi-Hsin Yu, Jung-Tai King, and Chin-Teng Lin. 2016. EEG alpha and gamma modulators mediate motion sickness-related spectral responses. International journal of neural systems 26, 02 (2016), 1650007.Google ScholarCross Ref
- Xu Cui, Signe Bray, and Allan L Reiss. 2010. Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. Neuroimage 49, 4 (2010), 3039–3046.Google ScholarCross Ref
- James J Cummings and Jeremy N Bailenson. 2016. How immersive is enough? A meta-analysis of the effect of immersive technology on user presence. Media psychology 19, 2 (2016), 272–309.Google Scholar
- Adrian Curtin and Hasan Ayaz. 2018. The age of neuroergonomics: towards ubiquitous and continuous measurement of brain function with fNIRS. Japanese Psychological Research 60, 4 (2018), 374–386.Google ScholarCross Ref
- Joakim Dahlman, Anna Sjörs, Johan Lindström, Torbjörn Ledin, and Torbjörn Falkmer. 2009. Performance and autonomic responses during motion sickness. Human factors 51, 1 (2009), 56–66.Google Scholar
- Simon Davis, Keith Nesbitt, and Eugene Nalivaiko. 2014. A systematic review of cybersickness. In Proceedings of the 2014 conference on interactive entertainment. 1–9.Google ScholarDigital Library
- Johannes Dichgans and Thomas Brandt. 1978. Visual-vestibular interaction: Effects on self-motion perception and postural control. In Perception. Springer, 755–804.Google Scholar
- Kim Dockx, Esther MJ Bekkers, Veerle Van den Bergh, Pieter Ginis, Lynn Rochester, Jeffrey M Hausdorff, Anat Mirelman, and Alice Nieuwboer. 2016. Virtual reality for rehabilitation in Parkinson’s disease. Cochrane Database of Systematic Reviews12 (2016).Google Scholar
- Joshua E Domeyer, Nicholas D Cassavaugh, and Richard W Backs. 2013. The use of adaptation to reduce simulator sickness in driving assessment and research. Accident Analysis & Prevention 53 (2013), 127–132.Google ScholarCross Ref
- HB-L Duh, JW Lin, Robert V Kenyon, Donald E Parker, and Thomas A Furness. 2001. Effects of field of view on balance in an immersive environment. In Proceedings IEEE Virtual Reality 2001. IEEE, 235–240.Google ScholarCross Ref
- Sharon L Farra, Matthew Gneuhs, Eric Hodgson, Burhan Kawosa, Elaine T Miller, Ashley Simon, Nathan Timm, and Jackie Hausfeld. 2019. Comparative cost of virtual reality training and live exercises for training hospital workers for evacuation. Computers, informatics, nursing: CIN 37, 9 (2019), 446.Google Scholar
- Ajoy S Fernandes and Steven K Feiner. 2016. Combating VR sickness through subtle dynamic field-of-view modification. In 2016 IEEE symposium on 3D user interfaces (3DUI). IEEE, 201–210.Google ScholarCross Ref
- Raul Fernandez Rojas, Xu Huang, and Keng-Liang Ou. 2019. A machine learning approach for the identification of a biomarker of human pain using fNIRS. Scientific reports 9, 1 (2019), 1–12.Google Scholar
- Frank A Fishburn, Ruth S Ludlum, Chandan J Vaidya, and Andrei V Medvedev. 2019. Temporal derivative distribution repair (TDDR): a motion correction method for fNIRS. Neuroimage 184(2019), 171–179.Google ScholarCross Ref
- Liviu A Fodor, Carmen D Coteț, Pim Cuijpers, Ștefan Szamoskozi, Daniel David, and Ioana A Cristea. 2018. The effectiveness of virtual reality based interventions for symptoms of anxiety and depression: A meta-analysis. Scientific reports 8, 1 (2018), 1–13.Google ScholarCross Ref
- Schwarz Gideon 1978. Estimating the dimension of a model. The annals of statistics 6, 2 (1978), 461–464.Google Scholar
- Evelyn Glotzbach, Andreas Mühlberger, Kathrin Gschwendtner, Andreas J Fallgatter, Paul Pauli, and Martin J Herrmann. 2011. Prefrontal brain activation during emotional processing: a functional near infrared spectroscopy study (fNIRS). The open neuroimaging journal 5 (2011), 33.Google Scholar
- Sandra G Hart and Lowell E Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Advances in psychology. Vol. 52. Elsevier, 139–183.Google Scholar
- Martin J Herrmann, A-C Ehlis, and Andreas J Fallgatter. 2003. Prefrontal activation through task requirements of emotional induction measured with NIRS. Biological psychology 64, 3 (2003), 255–263.Google Scholar
- Christina Hirth, Hellmuth Obrig, Kersten Villringer, Andeas Thiel, Johannes Bernarding, Werner Mühlnickel, Herta Flor, Ulrich Dirnagl, and Arno Villringer. 1996. Non-invasive functional mapping of the human motor cortex using near-infrared spectroscopy.Neuroreport 7, 12 (1996), 1977–1981.Google Scholar
- Keum-Shik Hong and M Atif Yaqub. 2019. Application of functional near-infrared spectroscopy in the healthcare industry: A review. Journal of Innovative Optical Health Sciences 12, 06 (2019), 1930012.Google ScholarCross Ref
- Xin Hu, Chu Zhuang, Fei Wang, Yong-Jin Liu, Chang-Hwan Im, and Dan Zhang. 2019. fNIRS evidence for recognizably different positive emotions. Frontiers in human neuroscience 13 (2019), 120.Google Scholar
- Theodore J Huppert. 2016. Commentary on the statistical properties of noise and its implication on general linear models in functional near-infrared spectroscopy. Neurophotonics 3, 1 (2016), 010401.Google ScholarCross Ref
- Elizaveta Igoshina, Frank A Russo, Robert Shewaga, Bruce Haycock, and Behrang Keshavarz. 2022. The relationship between simulator sickness and driving performance in a high-fidelity simulator. Transportation research part F: traffic psychology and behaviour 89 (2022), 478–487.Google Scholar
- Frans F Jöbsis. 1977. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 198, 4323 (1977), 1264–1267.Google Scholar
- Julian S Joseph, Marvin M Chun, and Ken Nakayama. 1997. Attentional requirements in a ‘preattentive’feature search task. Nature 387, 6635 (1997), 805–807.Google Scholar
- Alexandra D Kaplan, Jessica Cruit, Mica Endsley, Suzanne M Beers, Ben D Sawyer, and Peter A Hancock. 2021. The effects of virtual reality, augmented reality, and mixed reality as training enhancement methods: A meta-analysis. Human factors 63, 4 (2021), 706–726.Google ScholarCross Ref
- Robert E Kass and Larry Wasserman. 1995. A reference Bayesian test for nested hypotheses and its relationship to the Schwarz criterion. Journal of the american statistical association 90, 431(1995), 928–934.Google ScholarCross Ref
- Sam Kavanagh, Andrew Luxton-Reilly, Burkhard Wuensche, and Beryl Plimmer. 2017. A systematic review of virtual reality in education. Themes in Science and Technology Education 10, 2 (2017), 85–119.Google Scholar
- Robert S Kennedy, Norman E Lane, Kevin S Berbaum, and Michael G Lilienthal. 1993. Simulator sickness questionnaire: An enhanced method for quantifying simulator sickness. The international journal of aviation psychology 3, 3 (1993), 203–220.Google Scholar
- Robert S Kennedy, Kay M Stanney, and William P Dunlap. 2000. Duration and exposure to virtual environments: sickness curves during and across sessions. Presence: Teleoperators & Virtual Environments 9, 5(2000), 463–472.Google ScholarDigital Library
- Behrang Keshavarz and Heiko Hecht. 2011. Validating an efficient method to quantify motion sickness. Human factors 53, 4 (2011), 415–426.Google Scholar
- Behrang Keshavarz and Heiko Hecht. 2014. Pleasant music as a countermeasure against visually induced motion sickness. Applied ergonomics 45, 3 (2014), 521–527.Google Scholar
- Behrang Keshavarz, Aaron Emile Philipp-Muller, Wanja Hemmerich, Bernhard E Riecke, and Jennifer L Campos. 2019. The effect of visual motion stimulus characteristics on vection and visually induced motion sickness. Displays 58(2019), 71–81.Google ScholarCross Ref
- Behrang Keshavarz, Bernhard E Riecke, Lawrence J Hettinger, and Jennifer L Campos. 2015. Vection and visually induced motion sickness: how are they related?Frontiers in psychology 6 (2015), 472.Google Scholar
- Young Youn Kim, Hyun Ju Kim, Eun Nam Kim, Hee Dong Ko, and Hyun Taek Kim. 2005. Characteristic changes in the physiological components of cybersickness. Psychophysiology 42, 5 (2005), 616–625.Google ScholarCross Ref
- Thomas Kosch, Albrecht Schmidt, Simon Thanheiser, and Lewis L Chuang. 2020. One does not simply RSVP: mental workload to select speed reading parameters using electroencephalography. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–13.Google ScholarDigital Library
- Eric Krokos and Amitabh Varshney. 2022. Quantifying VR cybersickness using EEG. Virtual Reality 26, 1 (2022), 77–89.Google ScholarDigital Library
- Charlene Krueger and Lili Tian. 2004. A comparison of the general linear mixed model and repeated measures ANOVA using a dataset with multiple missing data points. Biological research for nursing 6, 2 (2004), 151–157.Google Scholar
- Nilli Lavie, Aleksandra Hirst, Jan W De Fockert, and Essi Viding. 2004. Load theory of selective attention and cognitive control.Journal of experimental psychology: General 133, 3 (2004), 339.Google Scholar
- Chin-Teng Lin, Shang-Wen Chuang, Yu-Chieh Chen, Li-Wei Ko, Sheng-Fu Liang, and Tzyy-Ping Jung. 2007. EEG effects of motion sickness induced in a dynamic virtual reality environment. In 2007 29th annual international conference of the IEEE engineering in medicine and biology society. IEEE, 3872–3875.Google Scholar
- Wei-Kai Liou and Chun-Yen Chang. 2018. Virtual reality classroom applied to science education. In 2018 23rd International Scientific-Professional Conference on Information Technology (IT). IEEE, 1–4.Google ScholarCross Ref
- Kartik Logishetty, Branavan Rudran, and Justin P Cobb. 2019. Virtual reality training improves trainee performance in total hip arthroplasty: a randomized controlled trial. The bone & joint journal 101, 12 (2019), 1585–1592.Google Scholar
- Julie Lorah. 2018. Effect size measures for multilevel models: Definition, interpretation, and TIMSS example. Large-Scale Assessments in Education 6, 1 (2018), 1–11.Google ScholarCross Ref
- Horia A. Maior, Richard Ramchurn, Sarah Martindale, Ming Cai, Max L. Wilson, and Steve Benford. 2019. FNIRS and Neurocinematics. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk). Association for Computing Machinery, New York, NY, USA, 1–6.Google Scholar
- Horia A Maior, Max L Wilson, and Sarah Sharples. 2018. Workload alerts—using physiological measures of mental workload to provide feedback during tasks. ACM Transactions on Computer-Human Interaction 25, 2(2018).Google ScholarDigital Library
- Divine Maloney, Guo Freeman, and Andrew Robb. 2021. Social Virtual Reality: Ethical Considerations and Future Directions for An Emerging Research Space. In 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 271–277.Google Scholar
- Kevin Mandrick, Gérard Derosiere, Gérard Dray, Denis Coulon, Jean-Paul Micallef, and Stéphane Perrey. 2013. Prefrontal cortex activity during motor tasks with additional mental load requiring attentional demand: a near-infrared spectroscopy study. Neuroscience research 76, 3 (2013), 156–162.Google Scholar
- Panagiotis Matsangas, Michael E McCauley, and William Becker. 2014. The effect of mild motion sickness and sopite syndrome on multitasking cognitive performance. Human factors 56, 6 (2014), 1124–1135.Google Scholar
- Serena Midha, Horia A Maior, Max L Wilson, and Sarah Sharples. 2021. Measuring mental workload variations in office work tasks using fNIRS. International Journal of Human-Computer Studies 147 (2021), 102580.Google ScholarCross Ref
- Serena Midha, Max L Wilson, and Sarah Sharples. 2022. Ethical Concerns and Perceptions of Consumer Neurotechnology from Lived Experiences of Mental Workload Tracking. life 25(2022), 28.Google Scholar
- Byung-Chan Min, Soon-Cheol Chung, Yoon-Ki Min, and Kazuyoshi Sakamoto. 2004. Psychophysiological evaluation of simulator sickness evoked by a graphic simulator. Applied ergonomics 35, 6 (2004), 549–556.Google Scholar
- Jungo Miyazaki, Hiroki Yamamoto, Yoshikatsu Ichimura, Hiroyuki Yamashiro, Tomokazu Murase, Tetsuya Yamamoto, Masahiro Umeda, and Toshihiro Higuchi. 2015. Inter-hemispheric desynchronization of the human MT+ during visually induced motion sickness. Experimental brain research 233, 8 (2015), 2421–2431.Google Scholar
- Vitaly Napadow, James D Sheehan, Jieun Kim, Lauren T LaCount, Kyungmo Park, Ted J Kaptchuk, Bruce R Rosen, and Braden Kuo. 2013. The brain circuitry underlying the temporal evolution of nausea in humans. Cerebral cortex 23, 4 (2013), 806–813.Google Scholar
- Suzanne AE Nooij, Christopher J Bockisch, Heinrich H Bülthoff, and Dominik Straumann. 2021. Beyond sensory conflict: The role of beliefs and perception in motion sickness. PLoS One 16, 1 (2021), e0245295.Google ScholarCross Ref
- Stephen Palmisano, Robert S Allison, and Juno Kim. 2020. Cybersickness in head-mounted displays is caused by differences in the user’s virtual and physical head pose. Frontiers in Virtual Reality 1 (2020), 587698.Google ScholarCross Ref
- Merle G Paule, John J Chelonis, Donna J Blake, and John L Dornhoffer. 2004. Effects of drug countermeasures for space motion sickness on working memory in humans. Neurotoxicology and teratology 26, 6 (2004), 825–837.Google Scholar
- Evan M Peck, Daniel Afergan, Beste F Yuksel, Francine Lalooses, and Robert JK Jacob. 2014. Using fNIRS to measure mental workload in the real world. In Advances in physiological computing. Springer, 117–139.Google Scholar
- Evan M M Peck, Beste F Yuksel, Alvitta Ottley, Robert JK Jacob, and Remco Chang. 2013. Using fNIRS brain sensing to evaluate information visualization interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 473–482.Google ScholarDigital Library
- Katlyn Peck, Frank Russo, Jennifer L Campos, and Behrang Keshavarz. 2020. Examining potential effects of arousal, valence, and likability of music on visually induced motion sickness. Experimental Brain Research 238, 10 (2020), 2347–2358.Google ScholarCross Ref
- Melissa Peskin, Brittany Mello, Judith Cukor, Megan Olden, and JoAnn Difede. 2019. Virtual reality applications to treat posttraumatic stress disorder. In Virtual Reality for Psychological and Neurocognitive Interventions. Springer, 85–102.Google Scholar
- Paola Pinti, Ilias Tachtsidis, Antonia Hamilton, Joy Hirsch, Clarisse Aichelburg, Sam Gilbert, and Paul W Burgess. 2020. The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience. Annals of the New York Academy of Sciences 1464, 1 (2020), 5–29.Google ScholarCross Ref
- Michael M Plichta, Antje BM Gerdes, Georg W Alpers, Wilma Harnisch, S Brill, Matthias J Wieser, and Andreas J Fallgatter. 2011. Auditory cortex activation is modulated by emotion: a functional near-infrared spectroscopy (fNIRS) study. Neuroimage 55, 3 (2011), 1200–1207.Google ScholarCross Ref
- Felix Putze, Susanne Putze, Merle Sagehorn, Christopher Micek, and Erin T Solovey. 2022. Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and Reuse. ACM Transactions on Computer-Human Interaction (TOCHI) 29, 4(2022), 1–43.Google ScholarDigital Library
- Jane E Raymond, Kimron L Shapiro, and Karen M Arnell. 1992. Temporary suppression of visual processing in an RSVP task: An attentional blink?Journal of experimental psychology: Human perception and performance 18, 3(1992), 849.Google Scholar
- James T Reason. 1978. Motion sickness adaptation: a neural mismatch model. Journal of the Royal Society of Medicine 71, 11 (1978), 819–829.Google ScholarCross Ref
- James T Reason and Joseph John Brand. 1975. Motion sickness.Academic press.Google Scholar
- René Reinhard, Ender Tutulmaz, Hans M Rutrecht, Patricia Hengstenberg, Britta Geissler, Heiko Hecht, and Axel Muttray. 2019. Effects of visually induced motion sickness on emergency braking reaction times in a driving simulator. Human factors 61, 6 (2019), 1004–1018.Google Scholar
- Hiroyuki Sakai, Takumi Harada, Stephen K Larroque, Athena Demertzi, Tomoko Sugawara, Taeko Ito, Yoshiro Wada, Masaki Fukunaga, Norihiro Sadato, and Steven Laureys. 2022. Left parietal involvement in motion sickness susceptibility revealed by multimodal magnetic resonance imaging. Human brain mapping 43, 3 (2022), 1103–1111.Google Scholar
- Débora P Salgado, Thiago B Rodrigues, Felipe R Martins, Eduardo LM Naves, Ronan Flynn, and Niall Murray. 2019. The Effect of Cybersickness of an Immersive Wheelchair Simulator. Procedia Computer Science 160 (2019), 665–670.Google ScholarDigital Library
- Hendrik Santosa, Xuetong Zhai, Frank Fishburn, and Theodore Huppert. 2018. The NIRS brain AnalyzIR toolbox. Algorithms 11, 5 (2018), 73.Google ScholarCross Ref
- Matias N Selzer, Nicolas F Gazcon, and Martin L Larrea. 2019. Effects of virtual presence and learning outcome using low-end virtual reality systems. Displays 59(2019), 9–15.Google ScholarCross Ref
- Kimron L Shapiro, Jane E Raymond, and Karen M Arnell. 1994. Attention to visual pattern information produces the attentional blink in rapid serial visual presentation.Journal of Experimental psychology: Human perception and performance 20, 2(1994), 357.Google Scholar
- Ranganatha Sitaram, Haihong Zhang, Cuntai Guan, Manoj Thulasidas, Yoko Hoshi, Akihiro Ishikawa, Koji Shimizu, and Niels Birbaumer. 2007. Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain–computer interface. NeuroImage 34, 4 (2007), 1416–1427.Google ScholarCross Ref
- Joseph Smyth, Stewart Birrell, Alex Mouzakitis, and Paul Jennings. 2018. Motion sickness and human performance–exploring the impact of driving simulator user trials. In International Conference on Applied Human Factors and Ergonomics. Springer, 445–457.Google Scholar
- Erin Treacy Solovey, Audrey Girouard, Krysta Chauncey, Leanne M Hirshfield, Angelo Sassaroli, Feng Zheng, Sergio Fantini, and Robert JK Jacob. 2009. Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines. In Proceedings of the 22nd annual ACM symposium on User interface software and technology. 157–166.Google ScholarDigital Library
- Kay M. Stanney, Behrang Keshavarz, Heiko Hecht, and Ben D Lawson. 2014.. CRC Press Inc.Google Scholar
- Kay M Stanney, Kelly S Kingdon, David Graeber, and Robert S Kennedy. 2002. Human performance in immersive virtual environments: Effects of exposure duration, user control, and scene complexity. Human performance 15, 4 (2002), 339–366.Google Scholar
- Gary Strangman, Maria Angela Franceschini, and David A Boas. 2003. Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters. Neuroimage 18, 4 (2003), 865–879.Google ScholarCross Ref
- Hilary Sutcliffe. 2011. A report on responsible research and innovation. MATTER and the European Commission(2011).Google Scholar
- Sungho Tak and Jong Chul Ye. 2014. Statistical analysis of fNIRS data: a comprehensive review. Neuroimage 85(2014), 72–91.Google ScholarCross Ref
- Séamas Weech, Sophie Kenny, and Michael Barnett-Cowan. 2019. Presence and cybersickness in virtual reality are negatively related: a review. Frontiers in psychology 10 (2019), 158.Google ScholarCross Ref
- David Weibel and Bartholomäus Wissmath. 2011. Immersion in computer games: The role of spatial presence and flow. International Journal of Computer Games Technology 2011 (2011).Google ScholarDigital Library
- Max L Wilson, Serena Midha, Horia A Maior, Anna L Cox, Lewis L Chuang, and Lachlan D Urquhart. 2022. SIG: Moving from Brain-Computer Interfaces to Personal Cognitive Informatics. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–4.Google ScholarDigital Library
- Tom Winter. 2013. Lost and Found. Hachette UK.Google Scholar
- Hiroo Yamamura, Holger Baldauf, and Kai Kunze. 2020. Pleasant Locomotion–Towards Reducing Cybersickness using fNIRS during Walking Events in VR. In Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology. 56–58.Google ScholarDigital Library
- Shun-nan Yang, Tawny Schlieski, Brent Selmins, Scott C Cooper, Rina A Doherty, Philip J Corriveau, and James E Sheedy. 2012. Stereoscopic viewing and reported perceived immersion and symptoms. Optometry and vision science 89, 7 (2012), 1068–1080.Google Scholar
- Fleur D Yen Pik Sang, John F Golding, and Michael A Gresty. 2003. Suppression of sickness by controlled breathing during mildly nauseogenic motion. Aviation, space, and environmental medicine 74, 9 (2003), 998–1002.Google Scholar
- Sean D Young, Bernard D Adelstein, and Stephen R Ellis. 2007. Demand characteristics in assessing motion sickness in a virtual environment: Or does taking a motion sickness questionnaire make you sick?IEEE transactions on visualization and computer graphics 13, 3(2007), 422–428.Google Scholar
- Meryem A Yücel, Alexander v Lühmann, Felix Scholkmann, Judit Gervain, Ippeita Dan, Hasan Ayaz, David Boas, Robert J Cooper, Joseph Culver, Clare E Elwell, 2021. Best practices for fNIRS publications. Neurophotonics 8, 1 (2021), 012101.Google Scholar
- Chenyang Zhang, Shuguang Li, Yaohua Li, Shengbo Eben Li, and Bingbing Nie. 2020. Analysis of motion sickness associated brain activity using fNIRS: a driving simulator study. IEEE Access 8(2020), 207415–207425.Google ScholarCross Ref
- Li-Li Zhang, Jun-Qin Wang, Rui-Rui Qi, Lei-Lei Pan, Min Li, and Yi-Ling Cai. 2016. Motion sickness: current knowledge and recent advance. CNS neuroscience & therapeutics 22, 1 (2016), 15–24.Google Scholar
- Celina Zhou, Clara Luisa Bryan, Evan Wang, N Sertac Artan, and Ziqian Dong. 2019. Cognitive distraction to improve cybersickness in virtual reality environment. In 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW). IEEE, 72–76.Google ScholarCross Ref
Index Terms
- I think I don’t feel sick: Exploring the Relationship Between Cognitive Demand and Cybersickness in Virtual Reality using fNIRS
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