Conference Paper

An Analytical Approach for Predicting and Identifying Use Error and Usability Problem.

DOI: 10.1007/978-3-540-76805-0_38 Conference: HCI and Usability for Medicine and Health Care, Third Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2007, Graz, Austria, November, 22, 2007, Proceedings
Source: DBLP


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).

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    • "The HTA description of the task " preparation of the equipment for kitesurfing " were analyzed using the ECW and PUEA methods [12]. All focus group participants had previously been shown and practiced the task and had knowledge about the correct management of the equipment. "
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    ABSTRACT: Equipment used for high-risk sports, such as kitesurfing, needs to be efficient for the intended use and the user, and thus meet the mechanical demands and provide sufficient safety. Accidents related to kitesurfing occur, and the consequences are sometimes catastrophic. One important factor is the equipment design, which can influence the type and number of injuries due to insufficient safety systems. The aim of this study was to investigate how the design of kitesurfing equipment can affect safety issues from a usability perspective in relation to the task of preparation. A focus group of 6 subjects analyzed the task of preparing kitesurfing equipment for riding, using the evaluation methods Enhanced Cognitive Walkthrough (ECW) and Predictive Use Error Analysis (PUEA). From the evaluation, a list of plausible usability problems was identified together with proposed design guidelines. The results showed that usability problems occur during preparation. In total 35 usability problems were found, of which 11 (4 from ECW and 7 from PUEA) have a great impact on safety. These 11 problems were hard to detect for the user and could result in serious consequences for the kitesurfers during riding. The analysis resulted in some general guidelines that are possible to implement on different types of kites. To conclude, education and improved design of the equipment are essential to increase the safety of the sport.
    Procedia Engineering 12/2011; 13:525-530. DOI:10.1016/j.proeng.2011.05.125
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    • "Throughout the interaction, it is checked whether the supposed user's established goal and previous experience will lead to the next correct action." (Bligard, 2007, page 432) This method classifies the problems according to their severity, proposing 5 problem categories that allow a better identification. It is integrated into more global approach to complex systems. "
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    ABSTRACT: This article discusses interactive system evaluation from the perspective of inspection methods, specifically the Cognitive Walkthrough (CW) method. The basic principles of CW are reviewed as proposed in the original version and the first two revisions. Then 11 significant extensions of CW are examined: Heuristic Walkthrough, The Norman Cognitive Walkthrough Method, Streamlined Cognitive Walkthrough, Cognitive Walkthrough for the Web, Groupware Walkthrough, Activity Walkthrough, Interaction Walkthrough, Cognitive Walkthrough with Users, Extended Cognitive Walkthrough, Distributed Cognitive Walkthrough, and Enhanced Cognitive Walkthrough. Four summaries are proposed: The first one concerns the conceptual, methododological, and technological aspects; the next two summaries deal with existing studies, first comparative and then noncomparative; and the last summary provides help for choosing a version or variant.
    International Journal of Human-Computer Interaction 07/2010; 26(8):741-785. DOI:10.1080/10447311003781409 · 0.85 Impact Factor
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    ABSTRACT: Cognitive models allow predicting some aspects of util-ity and usability of human machine interfaces (HMI), and simulating the interaction with these interfaces. The action of predicting is based on a task analysis, which investigates what a user is required to do in terms of actions and cognitive processes to achieve a task. Task analysis facilitates the understanding of the system's functionalities. Cognitive models are part of the analytical approaches, that do not associate the users during the development process of the interface. This article presents a study about the evaluation of a human machine interaction with a contextual assistant's interface using ACT-R and GOMS cognitive models. The present work shows how these techniques may be applied in the evaluation of HMI, design and research by emphasizing firstly the task analysis and secondly the time execution of the task. In order to validate and support our results, an experimental study of user performance is conducted at the DOMUS laboratory, during the interaction with the contextual assistant's interface. The results of our models show that the GOMS and ACT-R models give good and excellent predictions respectively of users performance at the task level, as well as the object level. Therefore, the simulated results are very close to the results obtained in the experimental study.
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