Exploring the Use of the Physiological Signal for Weight Perception in VR
Disciplines
Data Science | Graphics and Human Computer Interfaces | Numerical Analysis and Scientific Computing
Abstract (300 words maximum)
This research aims to investigate the use of physiological signals as a metric for measuring human perceptual responses to virtual weight in Virtual Reality (VR) experiences. Physiological signals, along with questionnaires, have been actively used to assess the quality of VR simulations. Previous research has shown a correlation between physiological signals and perceptual responses to physical stimuli. However, it is unclear whether physiological signals correlate with the perception of mentally augmented weight rather than physical weight. To address this gap in knowledge, we aim to investigate whether physiological signals can measure weight perception in virtual reality experiences. In this study, participants will engage in a VR gym simulation with an isometric contraction task, holding their arm position without movement while varying the size of the virtual dumbbell or providing tactile feedback. We will attach a physiology device to collect heart rate (HR), heart rate variability (HRV), and galvanic skin response (GSR) data. Participants' hand positions will be calibrated by the system while holding a lightweight dumbbell steady for one minute, and their physiological signals will be collected before and after they perform isometric contractions for 30 seconds. We expect to find a positive relationship between physiological signals and the perception of weight. This research aims to support the development of innovative at-home workout experiences and reduce the risk of muscle harm due to inefficient use of real equipment.
Academic department under which the project should be listed
CCSE - Software Engineering and Game Development
Primary Investigator (PI) Name
Sungchul Jung
Exploring the Use of the Physiological Signal for Weight Perception in VR
This research aims to investigate the use of physiological signals as a metric for measuring human perceptual responses to virtual weight in Virtual Reality (VR) experiences. Physiological signals, along with questionnaires, have been actively used to assess the quality of VR simulations. Previous research has shown a correlation between physiological signals and perceptual responses to physical stimuli. However, it is unclear whether physiological signals correlate with the perception of mentally augmented weight rather than physical weight. To address this gap in knowledge, we aim to investigate whether physiological signals can measure weight perception in virtual reality experiences. In this study, participants will engage in a VR gym simulation with an isometric contraction task, holding their arm position without movement while varying the size of the virtual dumbbell or providing tactile feedback. We will attach a physiology device to collect heart rate (HR), heart rate variability (HRV), and galvanic skin response (GSR) data. Participants' hand positions will be calibrated by the system while holding a lightweight dumbbell steady for one minute, and their physiological signals will be collected before and after they perform isometric contractions for 30 seconds. We expect to find a positive relationship between physiological signals and the perception of weight. This research aims to support the development of innovative at-home workout experiences and reduce the risk of muscle harm due to inefficient use of real equipment.