Which Factors Form Older Adults’ Acceptance of Mobile Information and Communication Technologies?

Wilkowska, Wiktoria; Ziefle, Martina

doi:10.1007/978-3-642-10308-7_6

Cited by 57 publications

(38 citation statements)

References 43 publications

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“…TAM has been applied to predict the acceptance of many different kinds of technology, including personal digital assistants (PDA) [39], computer interfaces [23], mobile phones [9], the Internet [26], and e-Government Services [27]. While details vary, the authors showed evidence that was consistent with the model, providing convergent evidence that perceived usefulness and perceived ease of use are significant factors in predicting technology acceptance.…”

Section: Technology Acceptance Modelsupporting

confidence: 40%

Acceptance of mobile technology by older adults

Kim

Gajos

Müller

et al. 2016

Proceedings of the 18th International Conference on Human-Computer Interaction With Mobile Devices and Services

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Mobile technologies offer the potential for enhanced healthcare, especially by supporting self-management of chronic care. For these technologies to impact chronic care, they need to work for older adults, because the majority of people with chronic conditions are older. A major challenge remains: integrating the appropriate use of such technologies into the lives of older adults. We investigated how older adults would accept mobile technologies by interviewing two groups of older adults (technology adopters and non-adopters who aged 60+) about their experiences and perspectives to mobile technologies. Our preliminary results indicate that there is an additional phase, the intention to learn, and three relating factors, self-efficacy, conversion readiness, and peer support, that significantly influence the acceptance of mobile technologies among the participants, but are not represented in the existing models. With these findings, we propose a tentative theoretical model that extends the existing theories to explain the ways in which our participants came to accept mobile technologies. Future work should investigate the validity of the proposed model by testing our findings against younger people.

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Section: Technology Acceptance Modelsupporting

confidence: 40%

Acceptance of mobile technology by older adults

Kim

Gajos

Müller

et al. 2016

Proceedings of the 18th International Conference on Human-Computer Interaction With Mobile Devices and Services

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“…Other authors like (Ryan et al 1992) claim that older people are frequently inappropriately depicted as being resistant to technology. On the other hand (Wilkowska and Ziefle 2009) show that the gap between younger and older adults in engagement into new technology can be overcome. This conclusion is also coherent with our previous experineces from LivingLab, i.e.…”

Section: Participatory Designmentioning

confidence: 48%

Older adults and hackathons: a qualitative study

et al. 2017

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Globally observed trends in aging indicate that older adults constitute a growing share of the population and an increasing demographic in the modern technologies marketplace. Therefore, it has become important to address the issue of participation of older adults in the process of developing solutions suitable for their group. In this study, we approached this topic by organizing a hackathon involving teams of young programmers and older adults participants. Below we describe a case study of that hackathon, in which our objective was to motivate older adults to participate in software engineering processes. Based on our results from an array of qualitative methods, we propose a set of good practices that may lead to improved older adult participation in similar events and an improved process of developing apps that target older adults.

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“…The factors which influence whether older adults accept or reject technologies in their lives are complex and diverse, include factors like gender and age [6][7][8], and differ greatly from younger technology users [9]. It is important to understand the technological requirements of older adults when designing high-quality systems [10,11].…”

Section: Introductionmentioning

confidence: 38%

Exploring User Experience and Technology Acceptance for a Fall Prevention System: Results from a Randomized Clinical Trial and a Living Lab

Vaziri¹

2018

Facilitating Daily Life Integration of Technologies for Active and Healthy Aging

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Background: Falls are common in older adults and can result in serious injuries. Due to demographic changes, falls and related healthcare costs are likely to increase over the next years. Participation and motivation of older adults in fall prevention measures remain a challenge. The iStoppFalls project developed an information and communication technology (ICT)-based system for older adults to use at home in order to reduce common fall risk factors such as impaired balance and muscle weakness. The system aims at increasing older adults' motivation to participate in ICT-based fall prevention measures. This article reports on usability, user-experience and user-acceptance aspects affecting the use of the iStoppFalls system by older adults. Methods: In the course of a 16-week international multicenter study, 153 community-dwelling older adults aged 65+ participated in the iStoppFalls randomized controlled trial, of which half used the system in their home to exercise and assess their risk of falling. During the study, 60 participants completed questionnaires regarding the usability, user experience and user acceptance of the iStoppFalls system. Usability was measured with the System Usability Scale (SUS). For user experience the Physical Activity Enjoyment Scale (PACES) was applied. User acceptance was assessed with the Dynamic Acceptance Model for the Re-evaluation of Technologies (DART). To collect more detailed data on usability, user experience and user acceptance, additional qualitative interviews and observations were conducted with participants. Results: Participants evaluated the usability of the system with an overall score of 62 (Standard Deviation, SD 15.58) out of 100, which suggests good usability. Most users enjoyed the iStoppFalls games and assessments, as shown by the overall PACES score of 31 (SD 8.03). With a score of 0.87 (SD 0.26), user acceptance results showed that participants accepted the iStoppFalls system for use in their own home. Interview data suggested that certain factors such as motivation, complexity or graphical design were different for gender and age. Conclusions: The results suggest that the iStoppFalls system has good usability, user experience and user acceptance. It will be important to take these along with factors such as motivation, gender and age into consideration when designing and further developing ICT-based fall prevention systems.

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Which Factors Form Older Adults’ Acceptance of Mobile Information and Communication Technologies?

Cited by 57 publications

References 43 publications

Acceptance of mobile technology by older adults

Acceptance of mobile technology by older adults

Older adults and hackathons: a qualitative study

Exploring User Experience and Technology Acceptance for a Fall Prevention System: Results from a Randomized Clinical Trial and a Living Lab

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