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Smart Home Technologies: Insights into Generation-Specific Acceptance Motives
USAB '09 Proceedings of the 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for e-Inclusion
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
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USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
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USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
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International Journal of Telemedicine and Applications
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Although eHealth technologies offer an enormous potential to improve healthcare, the knowledge about key determinants of acceptance for eHealth technology is restricted. While the underlying technology of eHealth technologies and Information and Communication technology (ICT) is quite similar, utilization contexts and using motives are quite different. In order to explore the role of technology type on acceptance, we contrasted central application characteristics of both technology types using the scenario technique. A questionnaire was administered (n = 104) measuring individual variables (age, gender) and attitudes regarding an eHealth application (blood sugar meter) in contrast to an ICT device (Personal Digital Assistant, PDA). Older users basically approved the utilization of health-related technologies and perceived lower usability barriers. In addition, we identified main utilization motives of eHealth technology and technology-specific acceptance patterns, especially regarding issues of data safety in the eHealth context. Effects of age and gender in acceptance ratings suggest a differential perspective on eHealth acceptance. Finally, practical interventions were derived in order to support eHealth device design and to promote acceptance of eHealth technology.