Intelligent assistive technology devices for persons with dementia: A scoping review

• Published in: Assistive technology Vol. 36; no. 5; pp. 338 - 351
• Main Authors: Dada, Shakila, van der Walt, Charene, May, Adele A., Murray, Janice
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis 02.09.2024
• Subjects: Artificial Intelligence; assistive devices; assistive technology; augmentative and alternative communication; communication; Communication Disorders - rehabilitation; dementia; Dementia - rehabilitation; Humans; intelligent technology; Self-Help Devices; assistive devices; assistive technology; dementia; communication; augmentative and alternative communication; intelligent technology
• ISSN: 1040-0435; 1949-3614; 1949-3614
• DOI: 10.1080/10400435.2021.1992540

Assistive technology (AT) with context-aware computing and artificial intelligence capabilities can be applied to address cognitive and communication impairments experienced by persons with dementia (PwD). This paper aims to provide an overview of current literature regarding some characteristics of intelligent assistive technology devices (IATDs) for cognitive and communicative impairments of PwD. It also aims to identify the areas of impairment addressed by these IATDs. A multi-faceted systematic search strategy yielded records. Predefined criteria were applied for inclusion and data extraction. Thereafter data was thematically analysed and synthesised. This review demonstrates that almost all of the research involving IATDs has focused on cognitive impairments of PwD and has not yet evolved past the conceptual or prototype stages of development. Summaries of commercially available IATDs for PwD and relevant prototypes are provided at the end of this review. This research concluded that IATDs for PwD targeting cognition and communication problems primarily focus on social robots, and that they address cognitive impairments of attention, affect, and social-pragmatic communicative impairments. Future research endeavours concerning AT for PwD should explore collaboration between computer engineering and health practitioners to address the identified gaps. This may contribute to the available information for evidence-based decision making for PwD.