Use of physiological signals to predict cybersickness
By Mark S. Dennison, A. Wisti, M. D'Zmura. Displays (Guildford), 2016
304 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/c3a0686fdae078336c8165d844263f34b2c75ada
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In Cognitive Neuroscience
In Human-Computer Interaction
Citations in the corpus
- Factors Associated With Virtual Reality Sickness in Head-Mounted Displays: A Systematic Review and Meta-Analysis (2019, background): “Very few studies report on the use of objective physiological measures (e.g., heart rate, skin conductance, electroencephalograms, eye blink rate, and electrogastrogram) that do not rely on individual self-report data (Kim et al., 2005; Dennison et al., 2016).”
- The Role of Methodological Choices in the Effects of Experimental Exposure to Simulated Natural Landscapes on Human Health and Cognitive Performance: A Systematic Review (2020, background): “For instance, virtual reality headsets can be heavy and cause perspiration and motion sickness (Davis et al., 2015; Dennison et al., 2016).”
- Presence and Cybersickness in Virtual Reality Are Negatively Related: A Review (2019, background): “Increases in bradygastric activity, respiration rate (Kim et al., 2005; Dennison et al., 2016) heart rate (Nalivaiko et al., 2015), and skin conductance at the forehead (Golding, 1992; Gavgani et al., 2017) provide robust measures of CS. Behavioral signs such as early termination of a VR experience…”