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ChillFactor: a Highly-Responsive Non-Contact Cooling Feedback Interface for VR Headsets Based on Alcohol Mist Evaporation

  • Jiayi Xu
  • , Chia-An Fan
  • , Yuan Guo
  • , Yoshihiro Kuroda
  • , Masahiko Inami

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Cooling feedback has been shown to improve user experience in virtual reality. However, many existing methods face limitations, such as requiring skin contact, relying on airflow, having bulky components, or delivering unstable sensations. These issues limit their applicability to wearable systems, especially in scenarios demanding high responsiveness and perceptual consistency. We propose ChillFactor, a highly responsive, non-contact cooling interface for head-mounted displays (HMDs). It uses ultrasonic atomization of a predetermined alcohol solution to generate evaporative cooling near the skin, reducing airflow-induced artifacts and providing relatively consistent cold sensations. To validate the design, we first evaluated the system's cooling performance. At maximum output, it lowered skin temperature by approximately 2.6°C within five seconds, a rate sufficient to induce an almost immediate perception of cold. We subsequently integrated ChillFactor into an HMD and conducted a user study with 12 participants in immersive VR scenarios. Participants reported perceiving the cold within 0.66 seconds and noted significantly higher levels of presence and realism compared to conditions without cooling feedback, demonstrating the system's effectiveness in enhancing immersion through rapid and adjustable thermal cues. This work provides a practical foundation for non-contact cooling feedback and expands the design space for multisensory interaction in virtual environments.

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Original languageEnglish
Number of pages10
JournalIEEE Transactions on Visualization and Computer Graphics
DOIs
Publication statusOnline published - 30 Mar 2026

Funding

This work is supported in part by Suntory Holdings Limited, JSPS KAKENHI JP24K23883, JP24K02969 and JP24K22316. The authors acknowledge the use of ChatGPT (developed by OpenAI) for English proofreading and language refinement throughout this manuscript. No content was generated solely by the AI system; the authors were responsible for all technical content, analysis, and interpretation. The AI-assisted edits were limited to improving grammar, clarity, and fluency in all sections of the paper.

Research Keywords

  • cold sensation
  • non-contact haptic interface
  • Thermal feedback
  • virtual reality

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