Beyond Interaction Design: Beyond Human-Computer Interaction
Beyond Interaction Design: Beyond Human-Computer Interaction
Universal access to mobile telephony as a way to enhance the autonomy of elderly people
WUAUC'01 Proceedings of the 2001 EC/NSF workshop on Universal accessibility of ubiquitous computing: providing for the elderly
The Challenge of Mobile Devices for Human Computer Interaction
Personal and Ubiquitous Computing
Overcoming the Lack of Screen Space on Mobile Computers
Personal and Ubiquitous Computing
A Test of the Technology Acceptance Model: The Case of Cellular Telephone AdoptionLaku Chidambaram
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 1 - Volume 1
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
Understanding mobile handheld device use and adoption
Communications of the ACM - Mobile computing opportunities and challenges
Mobile Interaction Design
Understanding age differences in PDA acceptance and performance
Computers in Human Behavior
Modelling the factors that influence mobile phone adoption
Proceedings of the 2007 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Towards an appropriate business model for m-commerce
International Journal of Mobile Communications
A model for representing the motivational and cultural factors that influence mobile phone usage variety
Learning to Text: An Interaction Analytic Study of How Seniors Learn to Enter Text on Mobile Phones
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mobile phone adoption: do existing models adequately capture the actual usage of older adults?
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
Designing for older people: a case study in a retirement home
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Tangible interfaces as a chance for higher technology acceptance by the elderly
Proceedings of the 12th International Conference on Computer Systems and Technologies
Moses -- method for selecting senior mobile phones: supporting design & choice for the elderly
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
Evaluation of an inclusive smart home technology system
IWAAL'12 Proceedings of the 4th international conference on Ambient Assisted Living and Home Care
A framework of affordance and usability of mobile user interface for older adults
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2
Self-configuring agents for ambient assisted living applications
Personal and Ubiquitous Computing
International Journal of Information Management: The Journal for Information Professionals
International Journal of Telemedicine and Applications
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Technology adoption has been studied from a variety of perspectives. Information systems, Sociology and Human-Computer Interaction researchers have come up with various models incorporating factors and phases to predict adoption that, in turn, will lead to persistent use. Technology acceptance by the elderly mobile phone user has received less attention and no model currently exists to predict factors influencing their technology adoption. A literature study yielded a set of acceptance factors (derived mostly from quantitative studies) and adoption phases (derived mostly from qualitative studies) that could influence and predict mobile phone adoption by the elderly user. We confirmed a subset of these factors by consulting findings from research into the context of senior mobile phone users, including the needs and limitations of these users. We then verified the factors qualitatively by means of structured interviews with senior mobile phone users. The interviews included the use of scenarios as well as a mobile phone design activity. Triangulating the quantitative findings from literature with the qualitative findings from this study led to a set of interlinked acceptance factors and adoption phases that we present as the Senior Technology Acceptance& Adoption model for Mobile technology (STAM). This paper makes a contribution to understanding technology acceptance by senior users and should be of interest to researchers, designers and decision-makers on technology adoption, especially mobile features and services.