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Updated: Oct 14, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Influencing health behaviour using smart building interventions for people with dementia and mild cognitive
J H W Coosje Hammink1, J A Nienke Moor1, M Masi Mohammadi1,2
1Research Group Architecture in Health, HAN University of Applied Sciences, Arnhem, The Netherlands.
Purpose:
Behaviour can have an influence on (coping with) chronic conditions such as dementia. Assistive technology can stimulate the daily behaviour of people with dementia, but the mechanisms through which this happens are unclear. Therefore, this paper focuses on potential behaviour change mechanisms, that can be employed in smart building interventions for people with dementia or MCI.
Methods:
This research uses expert interviews with medical experts (n = 9) and a systematic literature review of smart building interventions stimulating health behaviour (n = 12).
Results:
Results show how facilitation, incentive motivation (i.e., feedback), observational learning and self-efficacy are most promising according to medical experts; if they are appropriately personalised towards needs, preferences as well as abilities. The literature review shows how most of the examined research uses facilitation and incentive motivation to stimulate behaviour. Although positive results are reported in all studies, methodological quality could be improved.
Conclusion:
For the design of smart building interventions for people with MCI or dementia, facilitation and incentive motivation seem to be promising behaviour change mechanisms. Outcome expectation, observational learning and self-efficacy could reinforcing the aforementioned mechanisms. Future research should focus on how different (environmental, digital) cues can be personalized and can adapt over time, as dementia progresses.IMPLICATIONS FOR REHABILITATIONAssistive technology for people with dementia can have an effect on (health) behaviour, which may in turn influence coping strategies or quality of life.Behaviour change mechanisms can inform the design of assistive technology such as smart building interventions.Facilitation, Incentive Motivation, Observational Learning and Self-efficacy seem promising behaviour change mechanisms for people with dementia or MCI.In any intervention for people with dementia, personalized and adaptable cues are of vital importance.
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