Predicting technology acceptance and adoption by the elderly: a qualitative study Export

@inproceedings{renaud:2008, abstract = {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.}, address = {New York, NY, USA}, author = {Renaud, Karen and van Biljon, Judy}, booktitle = {SAICSIT '08: Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries}, citeulike-article-id = {3646432}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1456659.1456684}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1456659.1456684}, doi = {10.1145/1456659.1456684}, isbn = {978-1-60558-286-3}, keywords = {acceptance, adoption}, location = {Wilderness, South Africa}, pages = {210--219}, posted-at = {2009-10-20 05:50:16}, priority = {2}, publisher = {ACM}, title = {Predicting technology acceptance and adoption by the elderly: a qualitative study}, url = {http://dx.doi.org/10.1145/1456659.1456684}, year = {2008} }

TY - CONF ID - renaud:2008 L3 - citeulike-article-id:3646432 N2 - 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. CY - Wilderness, South Africa SN - 978-1-60558-286-3 AD - New York, NY, USA EP - 219 TI - Predicting technology acceptance and adoption by the elderly: a qualitative study PB - ACM T2 - SAICSIT '08: Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries SP - 210 KW - acceptance KW - adoption AU - Renaud, Karen AU - van Biljon, Judy PY - 2008/// UR - http://dx.doi.org/10.1145/1456659.1456684 ER -