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Qualitative study of affective identities in dementia patients for the design of cognitive assistive technologies
Open accessAbstract
Our overall aim is to develop an emotionally intelligent cognitive assistant (ICA) to help older adults with Alzheimer's disease (AD) to complete activities of daily living more independently. For improved adoption, such a system should take into account how individuals feel about who they are. This paper investigates different affective identities found in older care home residents with AD, leading to a computational characterization of these aspects and, thus, tailored prompts to each specific individual's identity in a way that potentially ensures smoother and more effective uptake and response. We report on a set of qualitative interviews with 12 older adult care home residents and caregivers. The interview covered life domains (family, origin, occupation, etc.), and feelings related to the ICA. All interviews were transcribed and analyzed to extract a set of affective identities, coded according to the social-psychological principles of affect control theory (ACT). Preliminary results show that a set of identities can be extracted for each participant (e.g. father, husband). Furthermore, our results provide support for the proposition that, while identities grounded in memories fade as a person loses their memory, habitual aspects of identity that reflect the overall "persona" may persist longer, even without situational context.
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This framework of 4 weeks of interaction between 20 seniors with dementia and the agent Anne in a home setting is rare in ECA research, which mainly comprises studies on short-term interaction in a controlled environment and smaller sample size enrollment.
“This framework is rare in ECA research, which mainly comprises studies on short-term interaction in a controlled environment [13] and smaller sample size enrollment [7-12].”
This study mapped how the readiness level of ECA-based interventions grew across the years, shifting from a display on standard television sets and computer screens to mobile stand-alone solutions such as Anne.
“From a technical point of view, this study mapped how the readiness level of ECA-based interventions grew across the years, shifting from a display on standard television sets [7] and computer screens [8-12] to mobile stand-alone solutions such as in the specific case of Anne.”
In the last 10 years, few studies have addressed the use of ECAs among older adults with dementia.
“In fact, in the last 10 years, few studies have addressed the use of ECAs among older adults with dementia.”
From Usability and Acceptance of the Embodied Conversational Agent Anne by People with Dementia and their Caregivers: an exploratory study in home environment settings (Preprint) (2020) · cites this paper as [11]
The Introduction describes cognitive assistants for older adults with dementia, and the Methods describe interviews about a virtual assistant. Neither passage assesses how many studies of embodied conversational agents (ECAs) appeared in the preceding 10 years; searches for ECAs and conversational-agent research found no such assessment in our copy. (LLM, conf=0.75)
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References 28 · Cited by 36
Research works printed but not linked: 31
- 10.1017/S1041610212002360 · DOI
- 10.1186/1471-2318-8-28 · DOI
- 10.4017/gt.2011.10.3.005.00 · DOI
- 10.1016/j.cviu.2009.06.008 · DOI · Paper page
- 10.1044/1092-4388(2011/10-0206) · DOI
- 10.1007/978-1-4419-7261-3_26 · DOI
- 10.1016/0277-9536(90)90265-T · DOI
- 10.1080/09658210244000423 · DOI
- 10.1016/j.psychres.2009.02.010 · DOI
- Heise DR, 2007, Expressive order: Confirming sentiments in social actions
- MacKinnon NJ and Robinson T. Back to the future: 25 years of research in affect control theory. Adv Group Process 2014; 31: 139–173. · DOI
- Heise DR, 2010, Surveying cultures: Discovering shared conceptions and sentiments
- Osgood CE, 1975, Cross-cultural universals of affective meaning
- Heise DR, 2010, Self, identity, and social institutions
- Hoey J and Schroeder T. Bayesian affect control theory of self. In: Proceeding AAAI Conference on Artificial Intelligence , Austin, Texas, 2015. · DOI
- Ciprian CA, 2016, IEEE Trans Pattern Anal Mach Intell
- Joshi J, 2016, J Multimodal User Interf
- Hoey J, Schroeder T and Alhothali A. Bayesian affect control theory. In: Proc.of the Humaine Association Conference on Affective Computing and Intelligent Interaction , Geneva, Switzerland, IEEE, 2013. · DOI
- 10.1177/0190272511436352 · DOI · Paper page
- Van Vuuren S and Cherney LR. (2014). A virtual therapist for speech and language therapy. In: T Bickmore, S Marsella and C Sidner (Eds.) Intelligent Virtual Agents 14th International Conference , IVA 2014, Boston, MA, USA, Lecture Notes in Artificial Intelligence 8637, pp. 438–448. Springer, Switzerland, http://interactive.colorado.edu.
- Heise DR, 2010, Self, identity, and social institutions
- Malhotra A, Hoey J, Konig A, et al. A study of elderly people's emotional understanding of prompts given by virtual humans. In: Proceedings 10th EAI International Conference on Pervasive Computing Technologies for Healthcare , Cancun, Mexico, 16–19 May 2016. · DOI
- Ekman P, 1975, Unmasking the face
- Ekman P, 1982, Emotion in the human face
- 10.1177/1471301208099044 · DOI
- 10.1016/j.cpr.2009.10.003 · DOI
- 10.1177/1471301211408255 · DOI
- 10.1016/j.socscimed.2005.06.031 · DOI
- 10.1093/geronb/61.4.P202 · DOI
- 10.1002/gps.2192 · DOI
- 10.1097/01.JGP.0000300629.35408.94 · DOI · Paper page
Metadata
- Authors
- König, A., Francis, L. E., Joshi, J., Robillard, J. M., & Hoey, J.
- Affiliations
- University of Waterloo (CA)
- Cleveland State University (US)
- University of British Columbia (CA)
- Corresponding author
- König, Alexandra
- Venue
- Journal of Rehabilitation and Assistive Technologies Engineering
- Publisher
- SAGE Publications
- Published
- 2017-01
- Volume
- 4
- Pages
- 2055668316685038-2055668316685038
- ISSN
- 2055-6683 (ISSN-L)
- PMC
- PMC6453059
- OpenAlex
- W2581788138
- Cited by
- 36
- References
- 28
- Citations by year
- 2025: 4 · 2024: 3 · 2023: 2 · 2022: 5 · 2021: 5 · 2020: 6 · 2019: 3 · 2018: 5 · 2017: 3
- FWCI
- 12.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Rehabilitation and Assistive Technologies Engineering (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- U.S. Department of Health and Human Services
- AGE-WELL
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- affective identity, dementia, Alzheimer's disease, emotional intelligence, affect control theory, older adults, nursing home residents, caregivers, activities of daily living, personas, memory loss, technology adoption
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