Abstract
The last decade has shown that e-government systems have an enormous advantage for both the government and also the citizens. It is however not easy to develop services which can be used by users with low computer literacy. We have investigated in this research, how elderly users can profit from mobile government systems and how such system could be designed in accordance with the requirement that every citizen has to be able to use them. Elderly users are an important target group for governments as Europe will be the oldest continent by 2060. There are several m-government initiatives and projects offering various government services, like information sharing, alerting and mHealth services, which provide mobile remote patient monitoring in order to measure vital signs, bio-signals of patients outside hospital environments. Such systems can strongly benefit from improved acceptance by elderly users; therefore, investigation of social and psychological aspects of mobile adoption is an emerging field of research. The goal of our research is finding a way to map the needs of the elderly and set guidelines for the design of m-government systems. We apply IGUAN framework (Molnar 2014) for usability investigation, which we developed, in our earlier research as a guideline for improving the usability of e-government systems. We constructed a scenario in usability investigation, a search for medical treatment. Our research follows a user-driven method and uses the data acquired on usability of m-government by the elderly from Germany and Hungary. The main contribution of this paper is the assessment of the requirements for m-government systems’ development for elderly, by investigating the factors, which lead to a low acceptance of m-government by this group.
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Molnár, T., Kő, A. (2020). Exploring Usability and Acceptance Factors of m-Government Systems for Elderly. In: Kő, A., Francesconi, E., Kotsis, G., Tjoa, A., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2020. Lecture Notes in Computer Science(), vol 12394. Springer, Cham. https://doi.org/10.1007/978-3-030-58957-8_9
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