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Development of a Non-Immersive VR Reminiscence Therapy Experience for Patients with Dementia

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HCI International 2020 – Late Breaking Posters (HCII 2020)

Abstract

The World Health Organization projects a continuous growth of the elderly population, causing a shift in the demographic distribution. With this shift, healthcare plays an important role when treating conditions such as dementia, which prominently afflicts the elderly and their families. Currently, reminiscence therapy helps support alleviation of dementia symptoms through memory recollection. However, the therapy relies on traditional printed media, including pictures shown to the patients that lack immersion. In this paper, we present a preliminary study from focus group and one-on-one interviews with patients, family members and care providers to gauge their interest and perception of two non-immersive or headset-less virtual reality scenes for complementing reminiscence therapy. One system features head tracking as an input to create shifting perspectives on the output display to provide a sense of depth, while the other system employs the Looking Glass, a holographic display providing horizontal depth perspective. The proposed non-immersive VR systems were deemed feasible for therapy purposes based on our preliminary data, with insights on challenges and opportunities for future development.

Supported by Ontario Shores, the Ontario Tech University, and the Natural Sciences and Engineering Research Council of Canada in the form of a Discovery grant (RGPIN-2018-05917).

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Notes

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    https://developers.google.com/maps/documentation/gaming/overview_musk. Google. Accessed June 10, 2020.

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    https://www.openstreetmap.org/. OpenStreetMap Foundation. Accessed June 10, 2020.

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    https://renderdoc.org/. Karlsson, B. Accessed June 10, 2020.

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Correspondence to Alvaro Uribe-Quevedo .

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Tabafunda, A. et al. (2020). Development of a Non-Immersive VR Reminiscence Therapy Experience for Patients with Dementia. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-60703-6_66

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  • DOI: https://doi.org/10.1007/978-3-030-60703-6_66

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