ENGAGE-DEM: A Model of Engagement of People With Dementia
| Autor: | Emilia I. Barakova, Andreu Catala-Mallofre, Matthias Rauterberg, Marta Díaz-Boladeras, Giulia Perugia |
|---|---|
| Přispěvatelé: | Human Technology Interaction, Future Everyday, EAISI Health, EAISI Foundational, Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Gerontology
nonverbal signals 0209 industrial biotechnology 02 engineering and technology Electrodermal Activity SDG 3 – Goede gezondheid en welzijn Nonverbal Signals Interacció persona-ordinador 020901 industrial engineering & automation Quality of life (healthcare) SDG 3 - Good Health and Well-being Health care medicine Social Agents/Robotics Dementia 0501 psychology and cognitive sciences Demència 050107 human factors physiological measures Modelling human emotion Social Robotics Robòtica Engagement Nonverbal behavior business.industry 05 social sciences Enginyeria biomèdica::Robòtica mèdica [Àrees temàtiques de la UPC] Robotics medicine.disease health care Human-computer interaction Human-Computer Interaction Health Care Modelling human behavior Robotteknik och automation Mental illness Affective Computing Physiological Measures Malalties mentals business Psychology social agents/robotics Software |
| Zdroj: | IEEE Transactions on Affective Computing, 13(2):2, 926-943. Institute of Electrical and Electronics Engineers IEEE Transactions on Affective Computing, 13(2), 926-943. Institute of Electrical and Electronics Engineers UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| ISSN: | 1949-3045 |
| DOI: | 10.1109/taffc.2020.2980275 |
| Popis: | One of the most effective ways to improve quality of life in dementia is by exposing people to meaningful activities. The study of engagement is crucial to identify which activities are significant for persons with dementia and customize them. Previous work has mainly focused on developing assessment tools and the only available model of engagement for people with dementia focused on factors influencing engagement or influenced by engagement. This article focuses on the internal functioning of engagement and presents the development and testing of a model specifying the components of engagement, their measures, and the relationships they entertain. We collected behavioral and physiological data while participants with dementia (N = 14) were involved in six sessions of play, three of game-based cognitive stimulation and three of robot-based free play. We tested the concurrent validity of the measures employed to gauge engagement and ran factorial analysis and Structural Equation Modeling to determine whether the components of engagement and their relationships were those hypothesized. The model we constructed, which we call the ENGAGE-DEM, achieved excellent goodness of fit and can be considered a scaffold to the development of affective computing frameworks for measuring engagement online and offline, especially in HCI and HRI. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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