Abstract
To delay cognitive decline, early detection of mild cognitive impairment (MCI) is important. However, early detection of MCI is difficult because it is a condition in which some cognitive functions are impaired but without interfering with daily life. Impaired visuospatial ability, one of the first symptoms of dementia, is a cognitive disorder that causes problems in recognizing the spatial location of objects and the spatial positional relationships of multiple objects. Therefore, quantitative assessment of impaired visuospatial ability would be useful for early detection of MCI. In this study, we developed VR content to quantitatively evaluate user’s depth perception ability by using a head-mounted display (HMD) with a gaze measurement function. In this study, we conducted a VR content evaluation experiment developed for the younger group as a preliminary experiment before targeting the MCI patient group. Consequently, it was possible to measure the user’s convergence-divergence motion by using pupillary distance.
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Kinoshita, F., Takada, H. (2022). A Study on the Development of VR Content for Quantitative Evaluation of Impaired Visuospatial Ability. In: Duffy, V.G., Gao, Q., Zhou, J., Antona, M., Stephanidis, C. (eds) HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging. HCII 2022. Lecture Notes in Computer Science, vol 13521. Springer, Cham. https://doi.org/10.1007/978-3-031-17902-0_31
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DOI: https://doi.org/10.1007/978-3-031-17902-0_31
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