Exploring influencing factors of technology use for active and healthy ageing support in older adults
Aim of this study is to investigate the influence of technological and social cognitive factors for the use of sensor-based technologies for active and healthy ageing (AHA) support by older adults. In a mixed methods approach, data was initially obtained from an online questionnaire completed by old...
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| Veröffentlicht in: | Behaviour & information technology Jg. 39; H. 9; S. 1011 - 1021 |
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| Sprache: | Englisch |
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Taylor & Francis
01.09.2020
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| Abstract | Aim of this study is to investigate the influence of technological and social cognitive factors for the use of sensor-based technologies for active and healthy ageing (AHA) support by older adults. In a mixed methods approach, data was initially obtained from an online questionnaire completed by older health technology users and used in a regression analysis, where factors from the Technology Acceptance Model (TAM) and the Social Cognitive Theory (SCT) served as predictors for health technology use (HTU). Further, in-depth interviews were conducted with older adults to gain insights into technology use and physical activity behaviour of older adults. The regression analysis showed that the TAM and SCT factors accounted for a significant proportion of variance (39.5%) in HTU. Significant predictors of HTU were physical activity (.399**), social support (.287*), and expectations regarding individual health (.440*) and physical appearance (−.470**), indicating physical activity as mediator for HTU. The qualitative analysis indicated the conflation of technology support with social environments as key for physical activity behaviour in older adults. The findings indicate physical activity as a mediator in HTU by older adults and suggest that the consideration of social factors in health technology design may facilitate the uptake of AHA technologies. |
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| AbstractList | Aim of this study is to investigate the influence of technological and social cognitive factors for the use of sensor-based technologies for active and healthy ageing (AHA) support by older adults. In a mixed methods approach, data was initially obtained from an online questionnaire completed by older health technology users and used in a regression analysis, where factors from the Technology Acceptance Model (TAM) and the Social Cognitive Theory (SCT) served as predictors for health technology use (HTU). Further, in-depth interviews were conducted with older adults to gain insights into technology use and physical activity behaviour of older adults. The regression analysis showed that the TAM and SCT factors accounted for a significant proportion of variance (39.5%) in HTU. Significant predictors of HTU were physical activity (.399**), social support (.287*), and expectations regarding individual health (.440*) and physical appearance (−.470**), indicating physical activity as mediator for HTU. The qualitative analysis indicated the conflation of technology support with social environments as key for physical activity behaviour in older adults. The findings indicate physical activity as a mediator in HTU by older adults and suggest that the consideration of social factors in health technology design may facilitate the uptake of AHA technologies. |
| Author | Frisiello, Antonella Wieching, Rainer Giannouli, Eleftheria Schreiber, Dirk Vaziri, Daryoush Daniel Kaartinen, Nico Wulf, Volker |
| Author_xml | – sequence: 1 givenname: Daryoush Daniel surname: Vaziri fullname: Vaziri, Daryoush Daniel email: Daryoush.Vaziri@h-brs.de organization: Institute for New Media & Information Systems, University of Siegen – sequence: 2 givenname: Eleftheria orcidid: 0000-0001-7762-1348 surname: Giannouli fullname: Giannouli, Eleftheria organization: Institute of Movement and Sport Gerontology, German Sport University Cologne – sequence: 3 givenname: Antonella surname: Frisiello fullname: Frisiello, Antonella organization: Istituto Superiore Mario Boella – sequence: 4 givenname: Nico surname: Kaartinen fullname: Kaartinen, Nico organization: Kaasa solution GmbH – sequence: 5 givenname: Rainer surname: Wieching fullname: Wieching, Rainer organization: Institute for New Media & Information Systems, University of Siegen – sequence: 6 givenname: Dirk surname: Schreiber fullname: Schreiber, Dirk organization: Institute for Business Economics, University of Bonn-Rhein-Sieg – sequence: 7 givenname: Volker orcidid: 0000-0002-1214-1551 surname: Wulf fullname: Wulf, Volker organization: Institute for New Media & Information Systems, University of Siegen |
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| SubjectTerms | Adults Aging Cognition Exercise Health health information technology Health status Medical technology Older people Personal appearance Physical activity Physical fitness Qualitative analysis Qualitative research Regression analysis Social acceptance Social cognitive theory Social factors Social support Statistical analysis Technology Acceptance Model technology design Technology utilization Uptake |
| Title | Exploring influencing factors of technology use for active and healthy ageing support in older adults |
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