Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Design and Usability Assessment of a Cognitive Screening Digital Tool on Tablet: AlzVR Project

Version 1 : Received: 29 January 2024 / Approved: 30 January 2024 / Online: 30 January 2024 (06:14:23 CET)

How to cite: Maronnat, F.; Loup, G.; Degand, J.; Davesne, F.; Otmane, S. Design and Usability Assessment of a Cognitive Screening Digital Tool on Tablet: AlzVR Project. Preprints 2024, 2024012080. https://doi.org/10.20944/preprints202401.2080.v1 Maronnat, F.; Loup, G.; Degand, J.; Davesne, F.; Otmane, S. Design and Usability Assessment of a Cognitive Screening Digital Tool on Tablet: AlzVR Project. Preprints 2024, 2024012080. https://doi.org/10.20944/preprints202401.2080.v1

Abstract

Alzheimer's disease (AD) is the first cause of dementia worldwide and represents a public health challenge. Current diagnostic methods still rely on extended interviews and paper tests. We aim to create a novel, quick cognitive-screening tool on a numerical tablet. This program, built and edited with Unity®, runs on Android® for the Samsung Galaxy Tab S7 FE®. Composed of seven tasks inspired by the Mini-Mental Status Examination and the Montréal Cognitive Assessment, it browses several cognitive functions. The architectural design of this tablet application is distinguished by its multifaceted capabilities, encompassing not only seamless offline functionality but also a mechanism to ensure the singularity of data amalgamated from diverse sites. Additionally, a paramount emphasis is placed on safeguarding the confidentiality of patient information in the healthcare domain. Furthermore, the application empowers individual site managers by allowing them to access and peruse specific datasets, thereby enhancing their operational efficacy and decision-making processes. We performed a usability assessment among 24 healthy patients with a final F-SUS score of "excellent". Participants perceived the tool as simple to use and achieved the test in a mean time of 142 seconds, confirming that a short assessment on a numerical tablet is possible.

Keywords

numerical tablet; screening; Alzheimer's disease; usability

Subject

Computer Science and Mathematics, Software

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