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Predictors of seniors' interest in assistive applications on smartphones : evidence from a population-based survey in Slovenia
ID
Petrovčič, Andraž
(
Author
),
ID
Peek, Sebastiaan
(
Author
),
ID
Dolničar, Vesna
(
Author
)
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MD5: FD1BF4FF743F0B43697417C8B1D9A6A2
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https://www.mdpi.com/1660-4601/16/9/1623
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Abstract
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.
Language:
English
Keywords:
acceptance factors
,
assistive applications
,
C-TAILS model
,
population-based survey
,
seniors
,
smartphones
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FDV - Faculty of Social Sciences
Publication status:
Published
Publication version:
Version of Record
Year:
2019
Number of pages:
14 str.
Numbering:
Vol. 16, iss. 9, art. 1623
PID:
20.500.12556/RUL-128370
UDC:
316.346.32-053.9:621.395.721.5
ISSN on article:
1660-4601
DOI:
10.3390/ijerph16091623
COBISS.SI-ID:
36135517
Publication date in RUL:
09.07.2021
Views:
1027
Downloads:
167
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Record is a part of a journal
Title:
International journal of environmental research and public health
Shortened title:
Int. j. environ. res. public health
Publisher:
MDPI
ISSN:
1660-4601
COBISS.SI-ID:
1818965
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
09.05.2019
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
L5-6818
Name:
Digitalna vključenost in aktivno staranje: Razvoj k uporabnikom usmerjenega metodološkega pristopa za preučevanje uporabe mobilne telefonije med starejšimi posamezniki
Funder:
ARRS - Slovenian Research Agency
Project number:
L5-7626
Name:
Pametne IKT rešitve za aktivno in zdravo staranje: Integriranje storitev neformalne e-oskrbe v Sloveniji
Funder:
ARRS - Slovenian Research Agency
Project number:
L5-9337
Name:
Razumevanje in analiza potreb uporabnikov za razvoj e-storitev integrirane socialne in zdravstvene oskrbe v družbi staranja
Funder:
ARRS - Slovenian Research Agency
Project number:
P5-0399
Name:
Internetno raziskovanje
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