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Measurement and Evaluation of the Healing Effect of Nature-Themed Video Projection

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Human-Computer Interaction (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14012))

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Abstract

Natural views have a healing effect on humans. In recent years, many studies have proven the healing effect of natural views, even with different media such as images and videos. However, current media-based natural space creation mainly involves video projection of nature shotted directly. We assume that videos processed to assimilate with the room would have a greater healing effect. We compared two video projection types and evaluated the mental healing effect. To give a comparison, we prepared two videos: a non-processed video shot directly of a natural view and a processed video being a processed video of a natural view assimilated to the wall based on our proposal. For the proposal video, we adjusted the brightness and saturation of pixels to blur the projection’s border, making it appear to assimilate with the wall. A comparative analysis of the two types of videos will clarify the differences in their healing effects. We conducted a questionnaire and the semi-interview as the sentimental evaluation. We applied the biological signal related to the central nervous system and autonomic nervous system as quantitative evaluation. Furthermore, we conducted a statistical analysis on both evaluations. The results showed that both videos had a healing effect. And the impression of the processed video was significantly different between those who felt calmed after viewing the non-processed video and those who felt calmed after viewing the processed video .

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Correspondence to Midori Sugaya .

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Misaki, T., Feng, C., Kawaguchi, A., Sugaya, M. (2023). Measurement and Evaluation of the Healing Effect of Nature-Themed Video Projection. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14012. Springer, Cham. https://doi.org/10.1007/978-3-031-35599-8_17

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  • DOI: https://doi.org/10.1007/978-3-031-35599-8_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35598-1

  • Online ISBN: 978-3-031-35599-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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