LightSword: A Customized Virtual Reality Exergame for Long-Term Cognitive Inhibition Training in Older Adults

Title of the Paper

LightSword: A Customized Virtual Reality Exergame for Long-Term Cognitive Inhibition Training in Older Adults

Paper Information

• Research Area: Virtual Reality, Health Technology, Cognitive Training, Older Adults
• Keywords: Virtual Reality, Cognitive Inhibition, Older Adults, Long-Term Training, Interaction Design, Health Games

Research Background and Issues

• Problems and Challenges Identified by the Authors:

  • With the aging population, the decline in cognitive inhibition among older adults affects their quality of life and may lead to severe public health issues, such as mild cognitive impairment progressing to Alzheimer's disease.
  • Virtual reality combined with exergames (VR Exergames) has the potential to enhance cognitive functions, but existing commercial products are overly complex, have inappropriate difficulty levels, and lack long-term effectiveness evaluations.

• Significance:

  • Cognitive inhibition is critical for older adults to maintain attention and filter tasks. Its decline may lead to attention problems, memory loss, and even potential mental health issues such as depression or suicide risk.
  • Effective interventions targeting cognitive inhibition are urgently needed to achieve healthy aging.

• Motivation and Related Work:

  • Existing studies have not conducted long-term evaluations of VR games' impact on cognitive enhancement, nor have they provided customized designs suitable for the physiological and psychological characteristics of older adults.
  • This study aims to design a cognitive training system that offers long-term challenges while ensuring safety and adaptability.

Solution

• Proposed Solution:

  • Develop a virtual reality cognitive training game, LightSword, based on the Stroop paradigm, reverse Stroop paradigm, and dual-task paradigm for cognitive inhibition training.

• Innovations:

  • The first VR game for long-term cognitive training based on multiple cognitive activation paradigms, optimized for older adults with features such as dynamic difficulty adjustment, real-time feedback, song updates, and reduced physical intensity to ensure safety.

• Implementation Steps and Key Technologies:

  • Developed using the Unity game engine.
  • Implemented two cognitive modes: color task (overcoming text interference, focusing on color) and word task (overcoming color interference, focusing on text), along with multi-task requirements.
  • The game includes personalized progressive difficulty adjustments, real-time scoring and visual feedback, and social interaction to enhance engagement and sustained participation.
  • Game target blocks are designed to fly directly into the user's field of vision, allowing participants to train while seated, reducing head movement and related risks.

Research Outcomes

• Specific Results:

  • An 8-month longitudinal user study revealed significant improvements in cognitive inhibition among older adults participating in the training, with effects persisting for six months post-training.
  • Participants demonstrated high engagement and positive feedback, expressing approval for long-term training.

• Advantages:

  • Compared to commercial VR games, LightSword offers dynamic difficulty adjustment and safety features better suited for older adults.
  • Demonstrated significant improvements in cognitive inhibition abilities in both short-term and long-term effects.

• Experimental and Evaluation Results:

  • Training effectiveness was quantified through game scores and three behavioral cognitive tests (Stroop task, reverse Stroop task, Go/NoGo task).
  • Results showed significant increases in game scores and noticeable reductions in cognitive reaction times during gameplay.

• Limitations and Future Directions:

  • Small sample size (12 participants), primarily female, which may affect the generalizability of the results.
  • Lack of evaluation for other age groups or individuals with cognitive impairments.
  • Absence of physiological metrics (e.g., EEG or heart rate) for quantitative assessment.
  • Future research should explore whether combining multiple activation paradigms can yield more significant training effects and develop more dynamic and personalized long-term training support mechanisms.

Conclusion

LightSword demonstrates that virtual reality-based exergames can effectively enhance cognitive inhibition in older adults, providing design insights for developing cognitive training games that are suitable for long-term use and have high acceptance and engagement. Future work should focus on expanding sample sizes, incorporating physiological metrics for evaluation, and optimizing development technologies to further improve the scientific rigor and practical applicability of the research.