Effects of age, cognitive, and personal factors on PDA menu navigation performance
Behaviour & Information Technology
ERCIM'06 Proceedings of the 9th conference on User interfaces for all
Instruction Formats and Navigation Aids in Mobile Devices
USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
Effects of age, cognitive, and personal factors on PDA menu navigation performance
Behaviour & Information Technology
Which Factors Form Older Adults' Acceptance of Mobile Information and Communication Technologies?
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
Effects of Aging and Domain Knowledge on Usability in Small Screen Devices for Diabetes Patients
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
Mental models of menu structures in diabetes assistants
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Computers in Human Behavior
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Prior computer expertise represents one of the most important predictors of performance when interacting with ICT (Information and Communication Technologies) and acquiring computer skills. Due to demographic changes, the older adult will become increasingly important as a potential user. However, there is a lack of instruments for the assessment of computer expertise in older adults, especially for novice users with restricted prior computer knowledge. A computer expertise (CE) questionnaire for older adults was developed, analysed (Study I) and validated (Study II). Item-analysis showed that the CE-questionnaire is particularly appropriate for the computer knowledge level of older adults and measures computer expertise sufficiently. Furthermore, it was found that computer experience (in terms of frequency of computer usage) is a poor predictor of actual computer performance, which has important implications for the theoretical conceptualization of computer expertise and its assessment.