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Light Therapy Headset Model for Seasonal Affective Disorder Group

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Design, User Experience, and Usability (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14034))

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Abstract

With seasonal affective disorder currently affecting 10% of the population in northern latitudes and temperate regions and this statistic continuing to grow, light therapy is becoming the first treatment choice for seasonal affective disorder because of its lesser side effects and faster efficacy compared with other treatments. However, the light therapy products currently on the market are almost always in the form of table lamps, which require half an hour of exposure in front of a 10,000-lx light every morning. This treatment has does have some disadvantages; prolonged exposure to bright light can cause eye irritation, headaches and nausea, and it can also disrupt the patient’s normal rhythm of life, especially for those who work on a regular schedule. Therefore, exploring alternative light therapy products is valuable and may have great market potential. Firstly, this paper explores the literature and finds that light can be transmitted to the brain through the ear canal, which may greatly reduce the probability of side effects. Secondly, through questionnaire research and the construction of a KANO model, this article identifies the acceptance of a light therapy headset among the target group, as well as its main functions and product usage process. On the basis of the research, the design schemes were completed. Finally, evaluation and selection of the design schemes were conducted through 3D modelling and printing techniques, user interviews and usability testing.

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Correspondence to Qinxin He .

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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He, Q., Westland, S., Feng, Y. (2023). Light Therapy Headset Model for Seasonal Affective Disorder Group. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2023. Lecture Notes in Computer Science, vol 14034. Springer, Cham. https://doi.org/10.1007/978-3-031-35705-3_23

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  • DOI: https://doi.org/10.1007/978-3-031-35705-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35704-6

  • Online ISBN: 978-3-031-35705-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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