CPM-GOMS: an analysis method for tasks with parallel activities
CHI '95 Conference Companion on Human Factors in Computing Systems
The usability engineering lifecycle: a practitioner's handbook for user interface design
The usability engineering lifecycle: a practitioner's handbook for user interface design
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Tool support for task-based user interface design
CHI '99 Extended Abstracts on Human Factors in Computing Systems
ConcurTaskTrees: A Diagrammatic Notation for Specifying Task Models
INTERACT '97 Proceedings of the IFIP TC13 Interantional Conference on Human-Computer Interaction
Usability engineering methods for software developers
Communications of the ACM - Interaction design and children
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While the experimental usability-evaluation of interactive systems is getting increasing attention for manufacturers of medical devices, the design engineer has to examine the usability of an envisioned system via the specifications in a very early developmental phase. Within the framework of the BMWi-funded project INNORISK a software tool is currently being developed in order to support the application of prospective usability assessment for complex medical devices, especially for modern surgical work systems. Adapted from two model-based methods, the ConcurTaskTree (CTT) and the CPM-GOMS (Cognitive Perceptual Motor -- Goals Operators Methods Selection Rules) approach, the software tool uses formal, normative models to predict user and system behaviour in order to estimate the usability of a new or re-designed system. It is intended to support the engineer with building these models either manually or automatically and for analysing these models on the basis of different failure taxonomies concerning human error. The software tool shall enable the design engineer to model not only the high- and low-level tasks of the system, the user and the interactions but also the performance shaping factors (PSFs), Human-Human-Interaction and additionally the different levels of cognitive regulations of a user while interacting with a device. On the basis of these investigations the design engineer can then derive potential use errors and design measures for the user interface (UI).