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Aging Adults’ Motivation to Use Embodied Conversational Agents in Instrumental Activities of Daily Living: Results of Latent Profile Analysis

Author

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  • Urška Smrke

    (Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia)

  • Nejc Plohl

    (Department of Psychology, Faculty of Arts, University of Maribor, Koroška Cesta 160, 2000 Maribor, Slovenia)

  • Izidor Mlakar

    (Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia)

Abstract

The rapidly increasing share of ageing adults in the population drives the need and interest in assistive technology, as it has the potential to support ageing individuals in living independently and safely. However, technological development rarely reflects how needs, preferences, and interests develop in different ways while ageing. It often follows the strategy of “what is possible” rather than “what is needed” and “what preferred”. As part of personalized assistive technology, embodied conversational agents (ECAs) can offer mechanisms to adapt the technological advances with the stakeholders’ expectations. The present study explored the motivation among ageing adults regarding technology use in multiple domains of activities of daily living. Participants responded to the questionnaire on the perceived importance of instrumental activities of daily living and acceptance of the idea of using ECAs to support them. Latent profile analysis revealed four profiles regarding the motivation to use ECAs (i.e., a low motivation profile, two selective motivation profiles with an emphasis on physical and psychological well-being, and a high motivation profile). Profiles were compared in terms of their acceptance of ECA usage in various life domains. The results increase the knowledge needed in the development of assistive technology adapted to the expectations of ageing adults.

Suggested Citation

  • Urška Smrke & Nejc Plohl & Izidor Mlakar, 2022. "Aging Adults’ Motivation to Use Embodied Conversational Agents in Instrumental Activities of Daily Living: Results of Latent Profile Analysis," IJERPH, MDPI, vol. 19(4), pages 1-11, February.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2373-:d:752814
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    References listed on IDEAS

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    1. Mostaghel, Rana, 2016. "Innovation and technology for the elderly: Systematic literature review," Journal of Business Research, Elsevier, vol. 69(11), pages 4896-4900.
    2. Diana Portela & Marta Almada & Luís Midão & Elísio Costa, 2020. "Instrumental Activities of Daily Living (iADL) Limitations in Europe: An Assessment of SHARE Data," IJERPH, MDPI, vol. 17(20), pages 1-15, October.
    3. Sara Santini & Vera Stara & Flavia Galassi & Alessandra Merizzi & Cornelia Schneider & Sabine Schwammer & Elske Stolte & Johannes Kropf, 2021. "User Requirements Analysis of an Embodied Conversational Agent for Coaching Older Adults to Choose Active and Healthy Ageing Behaviors during the Transition to Retirement: A Cross-National User Center," IJERPH, MDPI, vol. 18(18), pages 1-24, September.
    4. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
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