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Theses

Identification systématique et représentation des erreurs humaines dans les modèles de tâches

Abstract : In user-centered approaches, the techniques, methods, and development processes used aim to know and understand the users (analyze their needs, evaluate their ways of using the systems) in order to design and develop usable systems that is in line with their behavior, skills and needs. Among the techniques used to guarantee usability, task modeling makes it possible to describe the objectives and activities of the users. With task models, human factors specialists can analyze and evaluate the effectiveness of interactive applications. This approach of task analysis and modeling has always focused on the explicit representation of the standard behavior of the user. This is because human errors are not part of the users' objectives and are therefore excluded from the job description. This vision of error-free activities, widely followed by the human-machine interaction community, is very different from the Human Factor community vison on user tasks. Since its inception, Human Factor community has been interested in understanding the causes of human error and its impact on performance, but also on major aspects like the reliability of the operation and the reliability of the users and their work. The objective of this thesis is to demonstrate that it is possible to systematically describe, in task models, user errors that may occur during the performance of user tasks. For this demonstration, we propose an approach based on task models associated with a human error description process and supported by a set of tools. This thesis presents the results of the application of the proposed approach to an industrial case study in the application domain of aeronautics.
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Racim Mehdi Fahssi. Identification systématique et représentation des erreurs humaines dans les modèles de tâches. Interface homme-machine [cs.HC]. Université Paul Sabatier - Toulouse III, 2018. Français. ⟨NNT : 2018TOU30304⟩. ⟨tel-02400608⟩

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