Enhancing the Eating Experience of Anosmic Patients through AR Games

Authors

  • Jialu Li

DOI:

https://doi.org/10.61173/w65nzf19

Keywords:

Anosmia, AR technology, multi-sensory perception, Odor molecule visualization

Abstract

Olfaction is one of the essential ways humans perceive the world, influencing not only our gustatory experiences but also playing a crucial role in emotional and memory formation. Anosmia, or the loss of the sense of smell, can lead to a diminished awareness of one’s surroundings, significantly increasing the risks in daily life. Unlike traditional olfactory training methods, this paper explores the use of Augmented Reality (AR) technology to provide a more immersive and personalized experience by visualizing odor molecules through a designed AR-based virtual game. The study aims to investigate effective approaches for enhancing the eating experience of patients with anosmia using AR technology. This multi-sensory approach intends to rebuild patients’ cognition of smells and rekindle their interest in food, thereby alleviating psychological stress. The experimental results are obtained using a quantitative method to test various metrics during the sensory compensation process through AR games, with data being recorded and analyzed.

References

[1] Zhu Yechen. Application Design of Olfactory Information Visualization - Olfactory AR Watch „oWatch“. Design, 2020, 33(5):3.DOI:CNKI:SUN:SJTY.0.2020-05-004.

[2] Wang Qi, Guo Yan, Zhang Hongtao, et al. Research on Product Design for the Blind with Sensory Compensation. Packaging Engineering, 2022(S1):96-103.

[3] Meng Xin, Zhang Chenglu. Visual representation analysis of odor visualization in graphic design. Art Science & Technology, 2023, 36(19):204-206.)

[4] Liu Chenjie. Research on the Application of Color Visual Language in Visual Communication Design--Re-understanding of Design Color Course.Young Writers, 2013(24):1.

[5] Zhu Feifei. Fusion of Olfactory and Visual Information and Application of Mobile Robot in Gas Leak Source Search. Tianjin University of Technology. DOI:CNKI:CDMD:2.1017.814511.

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Published

2024-12-31