Respond User Mindset for Enhanced VR Experiences: Integrating GSR Sensors with Virtual Reality Technology
The goal of the virtual reality (VR) industry is to improve the experience of being physically present in a nonphysical environment a phenomenon known as VR immersion. To improve VR immersion, sound, simulators, and surrounding environments can be combined in a harmonious way. The virtual reality business is predicted to rise to approximately $26.89 billion by 2022 as a result of the technology's rapid expansion. However, due to its widespread spread and deep integration into daily life, a number of health problems, such as nausea, vomiting, vertigo, and cold sweats, have been documented. This paper proposes the integration of a Galvanic Skin Response (GSR) sensor with Virtual Reality glasses to predict the users emotional state. In addition, choosing the kind of virtual environment is a crucial component that significantly influences the user's heart rate, blood pressure, blood sugar, and oxygen saturation (SpO2). The GSR sensor measures changes in skin conductance, providing insights into the user's emotional arousal level. By analysing these physiological responses in real-time, the VR system can dynamically adjust environmental stimuli to evoke desired emotional responses or tailor experiences to individual preferences. The primary insights of the investigation illustrate that when an environment changes from a pleasant one to a frightening one, there is a noticeable difference in the quantity of skin conductance and immersion level. The overall mean values for all physiological factors increased from the pre-phase to post-phase of VR usage. The paper outlines the conceptual framework, potential benefits, and ethical considerations of this novel approach.
Authors
- K. Valarmathi
- L. Karthick (ORCID: https://orcid.org/0000-0002-1403-8179)
- Brij Mohan (ORCID: https://orcid.org/0000-0003-2414-9152)
- S Mahalakshmi
- P. A. Mathina
- Kishore Balasubramanian (ORCID: https://orcid.org/0000-0003-1918-9774)
Institutions
- Harcourt Butler Technical University (IN)
Publication Details
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1109/incacct65424.2025.11011445
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00