Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia

Assistive applications (apps) on smartphones could contribute to a better quality of life for seniors living independently at home. At present, there is a lack of empirical evidence of seniors’ acceptance of such apps. The Cycle of Technology Acquirement by Independent-Living Seniors (C-TA...

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Main Authors: Andraž Petrovčič, Sebastiaan Peek, Vesna Dolničar
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/16/9/1623
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spelling doaj-e0c8dcd53bb14bd0a1ad8598557759022020-11-24T22:11:28ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-05-01169162310.3390/ijerph16091623ijerph16091623Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in SloveniaAndraž Petrovčič0Sebastiaan Peek1Vesna Dolničar2Faculty of Social Sciences, University of Ljubljana, 1000 Ljubljana, SloveniaSchool of Social and Behavioral Sciences, Department of Tranzo, Tilburg University, 5000 LE Tilburg, The NetherlandsFaculty of Social Sciences, University of Ljubljana, 1000 Ljubljana, SloveniaAssistive applications (apps) on smartphones could contribute to a better quality of life for seniors living independently at home. At present, there is a lack of empirical evidence of seniors’ acceptance of such apps. The Cycle of Technology Acquirement by Independent-Living Seniors (C-TAILS) model was recently proposed for studying the interplay between acceptance factors by integrating the personal, social and technological domains of seniors’ daily lives. This study aimed to explore how four groups of factors, clustered in accordance with the C-TAILS model, predict seniors’ interest in assistive apps, on a representative sample of the Slovenian population aged 55 years or older. The 617 respondents, who were contacted though a telephone survey, answered a questionnaire about their interest in three groups of assistive apps and four groups of potentially associated acceptance factors. Three linear regression models were used to analyse the association between the factors and the seniors’ interest in the three types of assistive apps. Smartphone-related dispositional traits were the strongest predictors across all three models. Among mobile phone usage patterns, smartphone use and the breadth of mobile phone features used were significant factors, while the significance of seniors’ personal characteristics and socio-economic conditions varied across the models. Hence, awareness that these factors play different roles in the acceptance of different assistive apps is needed in order to design viable interventions for their acceptance among seniors.https://www.mdpi.com/1660-4601/16/9/1623acceptance factorsassistive applicationsC-TAILS modelpopulation-based surveyseniorssmartphones
collection DOAJ
language English
format Article
sources DOAJ
author Andraž Petrovčič
Sebastiaan Peek
Vesna Dolničar
spellingShingle Andraž Petrovčič
Sebastiaan Peek
Vesna Dolničar
Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia
International Journal of Environmental Research and Public Health
acceptance factors
assistive applications
C-TAILS model
population-based survey
seniors
smartphones
author_facet Andraž Petrovčič
Sebastiaan Peek
Vesna Dolničar
author_sort Andraž Petrovčič
title Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia
title_short Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia
title_full Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia
title_fullStr Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia
title_full_unstemmed Predictors of Seniors’ Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia
title_sort predictors of seniors’ interest in assistive applications on smartphones: evidence from a population-based survey in slovenia
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2019-05-01
description Assistive applications (apps) on smartphones could contribute to a better quality of life for seniors living independently at home. At present, there is a lack of empirical evidence of seniors’ acceptance of such apps. The Cycle of Technology Acquirement by Independent-Living Seniors (C-TAILS) model was recently proposed for studying the interplay between acceptance factors by integrating the personal, social and technological domains of seniors’ daily lives. This study aimed to explore how four groups of factors, clustered in accordance with the C-TAILS model, predict seniors’ interest in assistive apps, on a representative sample of the Slovenian population aged 55 years or older. The 617 respondents, who were contacted though a telephone survey, answered a questionnaire about their interest in three groups of assistive apps and four groups of potentially associated acceptance factors. Three linear regression models were used to analyse the association between the factors and the seniors’ interest in the three types of assistive apps. Smartphone-related dispositional traits were the strongest predictors across all three models. Among mobile phone usage patterns, smartphone use and the breadth of mobile phone features used were significant factors, while the significance of seniors’ personal characteristics and socio-economic conditions varied across the models. Hence, awareness that these factors play different roles in the acceptance of different assistive apps is needed in order to design viable interventions for their acceptance among seniors.
topic acceptance factors
assistive applications
C-TAILS model
population-based survey
seniors
smartphones
url https://www.mdpi.com/1660-4601/16/9/1623
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