Usability inspection methods
The cognitive walkthrough method: a practitioner's guide
Usability inspection methods
Usability Engineering
Using usability heuristics to evaluate patient safety of medical devices
Journal of Biomedical Informatics - Patient safety
Usability in the real world: assessing medical information technologies in patient's homes
Journal of Biomedical Informatics - Patient safety
Cognitive and usability engineering methods for the evaluation of clinical information systems
Journal of Biomedical Informatics
A cognitive taxonomy of medical errors
Journal of Biomedical Informatics
Usability engineering methods for software developers
Communications of the ACM - Interaction design and children
Use errors and usability problems in relation to automation levels of medical devices
European Conference on Cognitive Ergonomics: Designing beyond the Product --- Understanding Activity and User Experience in Ubiquitous Environments
Usability Practice in Medical Imaging Application Development
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
Towards analytical evaluation of human machine interfaces developed in the context of smart homes
Interacting with Computers
Advances in Human-Computer Interaction
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In health care, the use of technical equipment plays a central part. To achieve high patient safety and efficient use, it is important to avoid use errors and usability problems when handling the medical equipment. This can be achieved by performing different types of usability evaluations on prototypes during the product development process of medical equipment. This paper describes an analytical approach for predicting and identifying use error and usability problems. The approach consists of four phases; (1) Definition of Evaluation, (2) System Description, (3) Interaction Analysis, and (4) Result Compilation and Reflection. The approach is based on the methods Hierarchical Task Analysis (HTA), Enhanced Cognitive Walkthrough (ECW) and Predictive Use Error Analysis (PUEA).