Affective Interactions in Therapeutic Virtual Reality: A Critical Perspective

Brain-Computer Interface (BCI) & NeurofeedbackVR Medical Training & RehabilitationMental Health Apps & Online Support CommunitiesPhysicians, Nurses & CliniciansPsychiatrists & Psychotherapists

Research Background and Issues

  • What problems or challenges did the authors identify?
    Therapeutic virtual reality (VR) is widely applied and highly regarded in the field of healthcare. However, aspects related to emotional and affective interaction remain under-researched, which could critically impact therapeutic outcomes. The authors point out that while VR has the potential to improve health treatments, stimulate proactive engagement in therapy, and enhance caregiving experiences, its design and implementation may overlook or diminish emotional experiences, potentially causing harm, such as triggering psychological trauma or negative emotional effects.

  • Why is this issue important?
    Emotional and affective interactions profoundly influence medical outcomes and user experiences. Neglecting emotional interaction may fail to effectively meet patient needs and could even worsen user experiences. Furthermore, as VR technology continues to rapidly expand in the healthcare domain, addressing this issue has become increasingly urgent.

  • Research Motivation and Related Work
    By reflecting on four case studies, the authors analyze the limitations of design and evaluation models that impact affective interaction in therapeutic VR, aiming to reveal solutions and drive improvements in existing technologies. Related work includes studies on the importance of emotions in digital health technologies and virtual reality, as well as cases of designing human-centered interaction technologies.


Solutions

  • What methods or solutions did the authors propose?
    The authors identified five key issues affecting the design and evaluation of therapeutic VR and proposed corresponding recommendations:

    1. Redefine the paradigm of co-production of knowledge, advocating participatory design to integrate perspectives from clinicians, designers, and users.
    2. Promote emotional visibility in design by challenging the "over-visibility of symptoms" and "implicitness of emotional experiences."
    3. Rethink therapeutic VR as a multi-purpose tool, platform, and experiential imagination, identifying its potential affective interaction value.
    4. Integrate the benefits and risks of emotions into the evaluation framework for VR.
    5. Emphasize caregiver involvement during implementation to help users navigate potential emotional challenges.
  • What is innovative about this solution?
    These recommendations challenge the traditional separation between medicine and technological innovation, positioning affective interaction as a core design goal. This offers a novel perspective for designing and evaluating therapeutic VR. Additionally, the authors propose participatory design to directly address the needs of patients and caregivers, effectively bridging the gap between technology and real-world user requirements.

  • What are the implementation steps and key technologies used?

    1. R1 Co-production of Knowledge: Employ participatory design to involve non-clinical professionals (e.g., users and caregivers) in the design process, emphasizing co-creation of virtual environments and emotional goals.
    2. R2 Address Emotional Implicitness: Use generative tools (e.g., paper-based and virtual body mapping) to help users express their concerns, revealing design flaws that may trigger negative emotions.
    3. R3 Design Multi-purpose VR: Focus not only on clinical goals but also allow users to explore personalized features such as entertainment, gaming, and social functions.
    4. R4 Integrate Emotional Evaluation: Use qualitative methods such as micro-phenomenology and interviews to assess users’ emotional experiences and impacts, complementing traditional clinical evaluations.
    5. R5 Collaborative Implementation Planning: Organize participatory implementation meetings, train caregivers to guide VR users, and design safe interactive environments.

Research Outcomes

  • What specific outcomes were achieved?
    Through analyzing four therapeutic VR cases, the authors identified the significant impact of affective interaction on user experience and medical outcomes, such as alleviating anxiety, enriching life experiences, and boosting user confidence.

  • What advantages does this solution have compared to existing ones?
    The proposed solution significantly enhances the focus on emotional experiences, contrasting sharply with traditional models that rely solely on clinical interventions. By adopting a more comprehensive evaluation framework, it also provides deeper insights into the role of emotions in long-term health and therapeutic outcomes.

  • What were the experimental or evaluation results?
    For instance, in a cancer chemotherapy case, while no significant time perception bias was observed, users reported a notable improvement in overall comfort and enjoyment during treatment. Additionally, in elderly care cases, personalized selection of suitable VR content led to immediate yet profound emotional satisfaction.

  • Limitations and Future Directions

    1. Methodological limitations: Some case studies did not directly involve all stakeholders, and some data relied on user reports, lacking generalizability.
    2. Implementation complexity: Scaling up may face challenges such as increased caregiver workload and technical maintenance issues.
    3. Suggestions for future research: Extend such studies to diverse clinical settings, conditions, and geographic environments, and develop practical tools to support the implementation of recommendations and emotional evaluations.

By redefining the role of emotions in therapeutic VR, this paper provides a systematic framework and insights for designing responsible and impactful digital health technologies. Future research should further refine universally applicable design and evaluation methods to achieve widespread application.

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https://hci.top/en/papers/chi/189105/2025

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DOI: https://dl.acm.org/doi/10.1145/3706598.3713800
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CHI
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2025
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Brain-Computer Interface (BCI) & Neurofeedback, VR Medical Training & Rehabilitation, Mental Health Apps & Online Support Communities
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Physicians, Nurses & Clinicians, Psychiatrists & Psychotherapists
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