Using Fuzzy Logic to Involve Individual Differences for Predicting Cybersickness during VR Navigation

Many studies have explored how individual differences can affect users' susceptibility to cybersickness in a VR application. However, the lack of strategy to integrate the influence of each factor on cybersickness makes it difficult to utilize the results of existing research. Based on the fuzz...

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Vydané v:Proceedings (IEEE Conference on Virtual Reality and 3D User Interfaces. Online) s. 373 - 381
Hlavní autori: Wang, Yuyang, Chardonnet, Jean-Remy, Merienne, Frederic, Ovtcharova, Jivka
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.03.2021
Predmet:
Computing methodologies-Artificial intelligence-Knowledge representation and reasoning-Vagueness and fuzzy logic
Correlation coefficient
Cybersickness
Fuzzy logic
Human-centered computing-Human computer interaction (HCI)-Interaction paradigms-Virtual reality
Information systems-Information retrieval-Users and interactive retrieval-Personalization
Navigation
Solid modeling
Three-dimensional displays
Visualization
ISSN:2642-5254
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Shrnutí:Many studies have explored how individual differences can affect users' susceptibility to cybersickness in a VR application. However, the lack of strategy to integrate the influence of each factor on cybersickness makes it difficult to utilize the results of existing research. Based on the fuzzy logic theory that can represent the effect of different factors as a single value containing integrated information, we developed two approaches including the knowledge-based Mamdani-type fuzzy inference system and the data-driven Adaptive neuro-fuzzy inference system (ANFIS) to involve three individual differences (Age, Gaming experience and Ethnicity). We correlated the corresponding outputs with the simulator sickness questionnaire (SSQ) scores in a simple navigation scenario. The correlation coefficients obtained through a 4- fold cross validation were found statistically significant with both fuzzy logic approaches, indicating their effectiveness to influence the occurrence and the level of cybersickness. Our work provides insights to establish customized experiences for VR navigation by involving individual differences.
ISSN:2642-5254
DOI:10.1109/VR50410.2021.00060