ASUR++: A Design Notation for Mobile Mixed Systems
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Usability engineering methods for software developers
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Optimizing Clinical Processes with Position-Sensing
IT Professional
Communications of the ACM
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Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Some usability issues of augmented and mixed reality for e-health applications in the medical domain
USAB'07 Proceedings of the 3rd Human-computer interaction and usability engineering of the Austrian computer society conference on HCI and usability for medicine and health care
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Ambient Intelligence (AmI) is a vision of an environment with ubiquitous distributed devices embedded in everyday objects that are interconnected and seamlessly deliver applications and services. Based on concepts of ubiquitous computing, ubiquitous communication and intelligent interfaces, AmI puts the user in the center of future technological development. In this paper we consider human aspects of AmI in clinical scenarios. Our main objective is to extend process notations with human aspects which are then considered during system implementation. This is done in the context of a model for usability evaluation and a clinical application scenario. The usability evaluation model includes inspection methods such as cognitive walkthrough and action analysis, as well as test methods, such as questionnaires and expert interviews. Our preliminary results show the viability of the approach.