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[TD‐P‐013]: HUMAN FACTORS ENGINEERING DESIGN OF A MOBILE APPLICATIONS TO PROVIDE INFORMAL CAREGIVERS WITH INDIVIDUALIZED APPROACHES FOR MANAGING ALZHEIMER's DISEASE‐ASSOCIATED BEHAVIORAL SYMPTOMS: A MACHINE LEARNING APPROACH
Author(s) -
Werner Nicole E.,
GilmoreBykovskyi Andrea,
Chen Tianning,
Pardell Connor,
Shenoy Ashish V.,
Zenker Rachel,
Kind Amy J.
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.2609
Subject(s) - usability , computer science , user centered design , psychological intervention , mhealth , iterative design , artificial intelligence , medicine , human–computer interaction , knowledge management , psychology , engineering , nursing , compatibility (geochemistry) , chemical engineering
inal study. A new cohort of thirty older adults living with dementia were recruited from local care services and assigned to play either game one (Solitaire) or game two (Bubble Explode). Each participant played the same game on three separate occasions within one week. Performance on the games were compared with the results of the original study. Results: Preliminary results suggest that the amended version of Solitaire was more accessible for people living with dementia, evidence by a reduction in the number of errors, an increased response to the prompt feature and an increase to the number of participants able to progress through the game. In contrast, participants’ performance on the amended version of Bubble Explode was comparable with the original app, suggesting a ceiling effect. Conclusions:This study highlights the potential in working collaboratively with service users, researchers and app developers to make everyday technology more accessible for people living with dementia.