Evaluating Interaction-Triggered Emotions in People with Dementia

Huber, Stephan; Preßler, Jan; Tung, Nam Ly; Hurtienne, Jörn

doi:10.1145/3027063.3053251

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…Self-tracking technologies are systems that make use of personal data collection about the sufferers. A majority (19) of papers present novel designs [11,13,17,59,60,60,61,75,77,81,88,89,110,115,120,130,157,163,179], whereas nine [8,15,56,58,90,111,117,148,159] are concerned with methodologies for developing self-tracking technologies attending to the specificities of affective disorders.…”

Section: Analysis Of Reviewed Work System Functionsmentioning

confidence: 99%

HCI and Affective Health

Sanches

Janson

Karpashevich

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

155

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In the last decade, the number of articles on HCI and health has increased dramatically. We extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of SIGCHI conference proceedings. 72 of these were published in the last two years. A systematic analysis of this growing body of literature revealed that most innovation happens in automated diagnosis, and self-tracking, although there are innovative ideas in tangible interfaces. We noted an overemphasis on data production without consideration of how it leads to fruitful interventions. Moreover, we see a need to promote ethical practices for involvement of people living with affective disorders. Finally, although only 16 studies evaluate technologies in a clinical context, several forms of support and intervention illustrate how rich insights are gained from evaluations with real patients. Our findings highlight potential for growth in the design space of affective health technologies.

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Section: Analysis Of Reviewed Work System Functionsmentioning

confidence: 99%

HCI and Affective Health

Sanches

Janson

Karpashevich

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

155

View full text Add to dashboard Cite

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“…However, placing people with dementia at the center of AT development can be challenging in the following ways: economically—patient involvement may increase the time and cost for organizations involved [ 23 ]; empirically—some scholars do not consider accounts of people with dementia to be reliable [ 24 , 25 ]; and ultimately, participation may distress or overwhelm people with dementia [ 25 , 26 ]. In addition, established tools for assessing user experience or usability may be insufficient and difficult to use for people with dementia because their ability to provide insight may be limited [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Smartwatch-Based Interventions for People With Dementia: User-Centered Design Approach

Goerss,

Köhler,

Rong

et al. 2024

JMIR Aging

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Background Assistive technologies can help people living with dementia maintain their everyday activities. Nevertheless, there is a gap between the potential and use of these materials. Involving future users may help close this gap, but the impact on people with dementia is unclear. Objective We aimed to determine if user-centered development of smartwatch-based interventions together with people with dementia is feasible. In addition, we evaluated the extent to which user feedback is plausible and therefore helpful for technological improvements. Methods We examined the interactions between smartwatches and people with dementia or people with mild cognitive impairment. All participants were prompted to complete 2 tasks (drinking water and a specific cognitive task). Prompts were triggered using a smartphone as a remote control and were repeated up to 3 times if participants failed to complete a task. Overall, 50% (20/40) of the participants received regular prompts, and 50% (20/40) received intensive audiovisual prompts to perform everyday tasks. Participants’ reactions were observed remotely via cameras. User feedback was captured via questionnaires, which included topics like usability, design, usefulness, and concerns. The internal consistency of the subscales was calculated. Plausibility was also checked using qualitative approaches. Results Participants noted their preferences for particular functions and improvements. Patients struggled with rating using the Likert scale; therefore, we assisted them with completing the questionnaire. Usability (mean 78 out of 100, SD 15.22) and usefulness (mean 9 out of 12) were rated high. The smartwatch design was appealing to most participants (31/40, 76%). Only a few participants (6/40, 15%) were concerned about using the watch. Better usability was associated with better cognition. The observed success and self-rated task comprehension were in agreement for most participants (32/40, 80%). In different qualitative analyses, participants’ responses were, in most cases, plausible. Only 8% (3/40) of the participants were completely unaware of their irregular task performance. Conclusions People with dementia can have positive experiences with smartwatches. Most people with dementia provided valuable information. Developing assistive technologies together with people with dementia can help to prioritize the future development of functional and nonfunctional features.

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