Changes in Heart Rate Variability During Immersive Multisensory Forest Bathing Experiences
Abstract
Exposure to nature promotes relaxation and reduces stress, but accessibility concerns have led to increased investigation of virtual reality nature simulations, including “virtual forest bathing.” This study examines the effects of audiovisual (AV) and audio-visual-olfactory (AVO) immersive VR experiences on relaxation, quality of experience (QoE), and heart rate variability (HRV) among nurses in a mental health inpatient unit. Participants experienced 2.5-min sessions of 360° natural scenes with counterbalanced conditions. Both conditions (AV and AVO) showed improvements in relaxation and QoE ratings, while the AVO condition resulted in greater HRV changes towards the end of the experience, as well as greater correlations with subjective relaxation and QoE ratings.
Keywords: Virtual forest bathing, Virtual reality, Heart rate variability, Multisensory VR
DOI: 10.54941/ahfe1006347
Cite this paper
More from this volume
- Virtual Mittweida - Creating a game-based approach to teach artificial intelligence for games
- Wheelchair Virtual Reality Simulator ERA: A Real to Virtual Interface Investigation
- Enhancing Virtual Reality Gaming through Wearable Haptic Feedback
- Enhancing Free Walking in Virtual Environments with Warning Walls: A Pilot Study on Redirected Walking Using Machine Learning Agents
- Impact of Cognitive Load on Learning in Immersive Virtual Reality Environments
- Right Hand,Left Hand,Both Hands: Exploring the Relationship Between Handedness,Interactivity and Cognitive Load in Virtual Reality Procedural Training
- Eye-tracking based mental fatigue assessment in VR environments
- Mitigating VR Motion Sickness in Visual Sharing Based on Observer-Observed Coupled Movements
- Subjective and Objective Assessment of the Impact of Stress and Mental Workload on Cybersickness During Virtual Reality Training
- Immersive Philosophical Thought Experiments Through Virtual Reality
- Impact of EEG-Based Virtual Reality Haptic Force Feedback on User Experience
- Construction of a VR Multimodal Dataset for Stress Recognition


AHFE Open Access