Designing Interactive Mobile UIs for Detecting Dementia
dc.contributor.author | Husna, Asmaul | |
dc.contributor.author | Masuk Shopnil, Masrur | |
dc.contributor.author | Islam, Iyolita | |
dc.contributor.author | Sultana, Zinia | |
dc.contributor.author | Tabassum Rima, Tasnim | |
dc.contributor.author | Shariar, Sazid | |
dc.contributor.author | Azad, Nasreen | |
dc.contributor.author | Islam, A.K.M. Najmul | |
dc.contributor.author | Islam, Muhammad Nazrul | |
dc.date.accessioned | 2023-05-31T20:35:06Z | |
dc.date.available | 2023-05-31T20:35:06Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Dementia, being one of the leading causes of death worldwide, necessitates extensive research to develop specific types of diagnosis and treatments. Because it is a neurological disorder, it affects more than one region of the body and impairs the proper functioning of the entire nervous system. Numerous studies throughout the years have laid the path for the development of better technology to precisely diagnose and treat dementia. Keeping all of these considerations in mind, the research proposes a mobile application comprised of intuitive and interactive user interfaces (UIs) for determining the presence and severity of dementia in a person. To attain this objective, firstly, human factors due to dementia were revealed through literature review. Then, six activities or games were designed and implemented through the design of interactive UIs; and finally, we assigned scores to each activity to assess the revealed symptoms, detect dementia, and measure the severity of dementia. | en |
dc.identifier.doi | 10.1145/3593743.3593767 | |
dc.identifier.uri | https://dl.eusset.eu/handle/20.500.12015/4707 | |
dc.language.iso | en | |
dc.publisher | Association for Computing Machinery | |
dc.relation.ispartof | Proceedings of the 11th International Conference on Communities and Technologies | |
dc.subject | mobile UI | |
dc.subject | Dementia | |
dc.subject | dementia symptoms | |
dc.subject | user interface | |
dc.subject | detection | |
dc.title | Designing Interactive Mobile UIs for Detecting Dementia | en |
dc.type | Text/Conference Paper | |
gi.citation.publisherPlace | New York, NY, USA | |
gi.citation.startPage | 124–132 | |
gi.citations.count | 2 | |
gi.citations.element | Kazi Md. Munim, Iyolita Islam, Md. Musfiqur Rahman Milton, Laila Arzuman Ara, Faiz Al Faisal, Muhammad Nazrul Islam (2023): Exploring the impact of design technique on usability: A case study on designing the eHealth websites using card sorting and interactive dialogue model, In: Engineering Reports 3(6), doi:10.1002/eng2.12738 | |
gi.citations.element | Joy Lai, Bing Ye, Alex Mihailidis (2024): Anomaly Detection Technologies for Monitoring Dementia-Related Behaviors at Home: A Narrative Literature Review (Preprint), doi:10.2196/preprints.68050 | |
gi.conference.location | Lahti, Finland |