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Individuals with dementia and their carers often experience a rupture of relationships that co-occurs with declining functional and cognitive abilities, leading to their increased social exclusion in both intimate relationships and community settings. While initiatives have been developed to support meaningful interaction and participation in society, they have broadly ignored the significance of how cultural factors influence experiences of inclusion/exclusion of these individuals. An ethnographic study was conducted by an interdisciplinary research team between April 2018 and January 2019 to explore the intersections of culture and social inclusion/exclusion in a culturally diverse group of persons with dementia, caregivers and staff members of a non-profit organization located in a multicultural neighborhood of a bilingual Canadian city. The participants' culture was inextricably linked to their experiences in three overarching themes of social inclusion/exclusion: transformation of the person with dementia and the caregiver; participation in social networks and meaningful relations; and styles of care provision in health and social services. Cultural mandates that prescribe practices of intergenerational care shape the way certain caregivers perceive their role and mitigated experiences of exclusion. Culturally specific notions and views associated with dementia prevalent in certain communities increased experiences of inclusion or exclusion. Engagement with the cultural elements of individuals with dementia was shown to be an effective and underexplored tool for fostering inclusion. The results of this study highlight the value of the ethnographic methods for incorporating the perspective of persons with dementia in research.

The detection of significant moments can support the care of individuals with dementia by making visible what is most meaningful to them and maintaining a sense of interpersonal connection. We present a novel intelligent assistive technology (IAT) for the detection of significant moments based on patterns of physiological signal changes in individuals with dementia and their caregivers. The parameters of the IAT are tailored to each individual's idiosyncratic physiological response patterns through an iterative process of incorporating subjective feedback on videos extracted from candidate significant moments identified through the IAT algorithm. The IAT was tested on three dyads (individual with dementia and their primary caregiver) during an eight-week movement program. Upon completion of the program, the IAT identified distinct, personal characteristics of physiological responsiveness in each participant. Tailored algorithms could detect moments of significance experienced by either member of the dyad with an agreement with subjective reports of 70%. These moments were constituted by both physical and emotional significances (e.g., experiences of pain or anxiety) and interpersonal significance (e.g., moments of heighted connection). We provide a freely available MATLAB toolbox with the IAT software in hopes that the assistive technology community can benefit from and contribute to these tools for understanding the subjective experiences of individuals with dementia., Competing Interests: The authors declare that there are no conflicts of interest regarding the publication of this paper., (Copyright © 2019 Chelsey Lai Kwan et al.)