Co-design & Evaluation of Visual Interventions for Head Posture Correction in Virtual Reality Games

Research Background and Issues

• Problem or Challenge: While the immersive experience of virtual reality (VR) games is appealing, prolonged use can lead to poor head posture, such as forward head posture and slouching. This can cause neck discomfort and long-term musculoskeletal issues. Additionally, due to excessive immersion in games, users often find it difficult to maintain proper posture. Existing posture correction tools are primarily designed for office work, with little research addressing solutions tailored for VR gaming.
• Significance: With the increasing popularity of VR gaming, the long-term health impacts on users are becoming a critical issue. Addressing this problem can not only enhance user experience but also mitigate health risks, supporting the further development of VR technology.
• Research Motivation and Related Work: Inspired by posture correction technologies in office environments, such as sensor detection and visual interventions, the authors aim to extend these technologies to the dynamic, standing postures required in VR gaming.

Solution

• Method or Solution: A posture detection framework based on VR headset-embedded sensors is proposed, along with two types of posture correction interventions: (1) explicit visual interventions (e.g., pop-up icons) and (2) implicit visual interventions (e.g., graying out the background scene).
• Innovations: Innovations include a posture detection method that requires no additional sensors and dynamic visual intervention designs specifically tailored for VR gaming scenarios. This is the first study to directly utilize VR headset data to correct standing posture.
• Implementation Steps:
  1. Posture Detection Framework: Using the built-in IMU sensors of the Meta Quest 1 VR system, the framework detects head angles and headset height in real-time to determine whether the user exhibits forward head posture or slouching.
  2. Intervention Design: Based on posture detection results, visual interventions are triggered. Explicit interventions provide clear posture prompts through icons, while implicit interventions subtly adjust the background color of the scene.
  3. Co-Creation Workshops: Collaborations with VR design and exercise physiology experts were conducted to optimize the intervention designs.
  4. Evaluation Experiment: The effectiveness of the interventions was tested in controlled experiments, focusing on standardizing posture and reducing the duration of poor posture.

Research Outcomes

• Specific Outcomes:
  • Developed a posture detection framework that relies entirely on VR headset sensors.
  • Optimized two visual intervention methods and tested their effectiveness in experiments.
  • Found that the interventions significantly reduced slouching behavior and the duration of poor posture, though their effectiveness in improving forward head posture was limited.
• Advantages:
  • The solution is easy to deploy as it requires no additional hardware.
  • Implicit interventions, such as background color adjustments, are less intrusive but still effective; explicit interventions provide more intuitive feedback, making them easier for users to understand.
  • The system demonstrated significant improvements in reducing slouching behavior.
• Experimental or Evaluation Results:
  • Both explicit and background-graying interventions significantly reduced slouching behavior.
  • Background-graying interventions effectively reduced the time users spent in poor posture, showing significant improvements compared to control conditions.
  • Users found explicit interventions easier to understand, but implicit interventions were deemed more suitable for prolonged immersive experiences.
• Limitations and Future Directions:
  • The experimental task design may not fully simulate real VR gaming scenarios, particularly in evaluating the effectiveness of interventions for head angle changes.
  • There is a discrepancy between subjective user preferences and quantitative results; future work should further optimize implicit intervention designs to improve user acceptance.
  • Proposals include incorporating audio or haptic feedback to enhance intervention effectiveness.
  • Future research could explore more comprehensive solutions for diverse user groups, such as those with hearing or visual impairments.

This study provides an innovative solution for VR user health management, opening a pathway for the integration of technology and health. It also offers significant insights for VR developers in designing intuitive and non-intrusive innovations.