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A Distributed Cognition Approach to Understanding Compensatory Calendaring Cognitive Systems of Older Adults with Mild Cognitive Impairment and Their Care Partners

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Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023) (UCAmI 2023)

Abstract

While consumer digital calendars are widely used for appointment reminders, they do not fulfill all of the compensatory functions that are supported by calendars designed for cognitive rehabilitation therapies (CRTs). To inform the development of digital compensatory solutions, we employed a Distributed Cognition framework to elucidate how older adults with mild cognitive impairment (MCI) and their care partners manage calendaring details when supported by a traditional rehabilitation calendar. Participants mapped out their calendaring cognitive systems, composed of people and artifacts, completed a chart detailing how they track specific types of information, and shared calendaring strategies with each other. We used a Distributed Cognition framing to articulate information flows and breakdowns in participants’ calendaring systems, and we identified groups of participants with similar breakdowns in their calendaring systems. We close by suggesting design recommendations for digital calendaring approaches to support dyads of older adults with MCI and their care partners.

Supported by NSF Graduate Research Fellowship.

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References

  1. Baldauf, M., Bösch, R., Frei, C., Hautle, F., Jenny, M.: Exploring requirements and opportunities of conversational user interfaces for the cognitively impaired. In: Proceedings of the 20th International Conference on Human-computer Interaction with Mobile Devices and Services Adjunct, pp. 119–126 (2018)

    Google Scholar 

  2. Chandler, M.J., et al.: Comparative effectiveness of behavioral interventions on quality of life for older adults with mild cognitive impairment: a randomized clinical trial. JAMA Netw. Open 2(5), e193016–e193016 (2019)

    Article  Google Scholar 

  3. Greenaway, M., Duncan, N., Smith, G.: The memory support system for mild cognitive impairment: randomized trial of a cognitive rehabilitation intervention. Int. J. Geriatr. Psychiatry 28(4), 402–409 (2013)

    Article  Google Scholar 

  4. Hampstead, B.M., Gillis, M.M., Stringer, A.Y.: Cognitive rehabilitation of memory for mild cognitive impairment: a methodological review and model for future research. J. Int. Neuropsychol. Soc. 20(2), 135–151 (2014)

    Article  Google Scholar 

  5. Heister, D., Brewer, J.B., Magda, S., Blennow, K., McEvoy, L.K., Initiative, A.D.N., et al.: Predicting MCI outcome with clinically available MRI and CSF biomarkers. Neurology 77(17), 1619–1628 (2011)

    Article  Google Scholar 

  6. Hollan, J., Hutchins, E., Kirsh, D.: Distributed cognition: toward a new foundation for human-computer interaction research. ACM Trans. Comput.-Human Interact. (TOCHI) 7(2), 174–196 (2000)

    Article  Google Scholar 

  7. Huckans, M., Hutson, L., Twamley, E., Jak, A., Kaye, J., Storzbach, D.: Efficacy of cognitive rehabilitation therapies for mild cognitive impairment (mci) in older adults: working toward a theoretical model and evidence-based interventions. Neuropsychol. Rev. 23(1), 63–80 (2013)

    Article  Google Scholar 

  8. McDonald, A., Haslam, C., Yates, P., Gurr, B., Leeder, G., Sayers, A.: Google calendar: a new memory aid to compensate for prospective memory deficits following acquired brain injury. Neuropsychol. Rehabil. 21(6), 784–807 (2011)

    Article  Google Scholar 

  9. Mennicken, S., Kim, D., Huang, E.M.: Integrating the smart home into the digital calendar. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 5958–5969 (2016)

    Google Scholar 

  10. Mynatt, E.D., Rowan, J., Craighill, S., Jacobs, A.: Digital family portraits: supporting peace of mind for extended family members. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 333–340 (2001)

    Google Scholar 

  11. Neustaedter, C., Brush, A.B., Greenberg, S.: A digital family calendar in the home: lessons from field trials of LINC. In: Proceedings of Graphics interface 2007, pp. 199–20 (2007)

    Google Scholar 

  12. Petersen, R.C., et al.: Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation subcommittee of the american academy of neurology. Neurology 90(3), 126–135 (2018)

    Article  Google Scholar 

  13. Shin, Y., Barankevich, R., Lee, J., Kalantari, S.: Pencoder: design for prospective memory and older adults. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–7 (2021)

    Google Scholar 

  14. Sohlberg, M.M., Mateer, C.A.: Training use of compensatory memory books: a three stage behavioral approach. J. Clin. Exp. Neuropsychol. 11(6), 871–891 (1989)

    Article  Google Scholar 

  15. Tee, K., Brush, A.B., Inkpen, K.M.: Exploring communication and sharing between extended families. Int. J. Hum Comput Stud. 67(2), 128–138 (2009)

    Article  Google Scholar 

  16. Wiley, J., et al.: 2021 Alzheimer’s disease facts and figures. Alzheimer’s Dementia 17(3), 327–406 (2021)

    Google Scholar 

  17. Yoo, M., Odom, W., Berger, A.: Understanding everyday experiences of reminiscence for people with blindness: Practices, tensions and probing new design possibilities. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–15 (2021)

    Google Scholar 

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Acknowledgements

This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. 2021280804.

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Correspondence to Tamara Zubatiy .

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Zubatiy, T. et al. (2023). A Distributed Cognition Approach to Understanding Compensatory Calendaring Cognitive Systems of Older Adults with Mild Cognitive Impairment and Their Care Partners. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-031-48306-6_19

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