An Analytical Approach for Predicting and Identifying Use Error and Usability Problem.
ABSTRACT 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).
- SourceAvailable from: José Abdelnour Nocera
Conference Paper: Usability Practice in Medical Imaging Application Development.[Show abstract] [Hide abstract]
ABSTRACT: Historically, development of medical imaging applications has focused on solving technical issues for small numbers of expert users. However, their use is now more mainstream and users are no longer willing to tolerate poor performance and usability. In this study we illustrate the application of user centred design methods in a medical imaging applications development company by using a usability comparative study of different regions of interest (ROI) tools. A use case analysis was used to judge usability efficiency and effectiveness of different ROI tools; and a user observation was also carried out which measured the accuracy achieved by these tools. We have found that useful results can be obtained by using these methods. We also generated some concrete suggestions that could be incorporated into future product development.HCI and Usability for e-Inclusion, 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2009, Linz, Austria, November 9-10, 2009 Proceedings; 01/2009
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ABSTRACT: To avoid use errors when handling medical equipment, it is important to develop products with a high degree of usability. This can be achieved by performing usability evaluations in the product development process to detect and mitigate potential usability problems. A commonly used method is cognitive walkthrough (CW), but this method shows three weaknesses: poor high-level perspective, insufficient categorisation of detected usability problems, and difficulties in overviewing the analytical results. This paper presents a further development of CW with the aim of overcoming its weaknesses. The new method is called enhanced cognitive walkthrough (ECW). ECW is a proactive analytical method for analysis of potential usability problems. The ECW method has been employed to evaluate user interface designs of medical equipment such as home-care ventilators, infusion pumps, dialysis machines, and insulin pumps. The method has proved capable of identifying several potential use problems in designs.Advances in Human-Computer Interaction 10/2013; 2013.
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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.Information Technology - IT. 01/2008;