Specific Task Modeling for Cyber Physical Systems
| Autor: | Bouzekri, Elodie, Canny, Alexandre, Martinie De Almeida, Célia, Palanque, Philippe |
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| Přispěvatelé: | Interactive Critical Systems (IRIT-ICS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Eindhoven University of Technology [Eindhoven] (TU/e) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Workshop on Heterogeneous Models and Modeling Approaches for Engineering of Interactive Systems, hold in conjunction with the 10th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2018) Workshop on Heterogeneous Models and Modeling Approaches for Engineering of Interactive Systems, hold in conjunction with the 10th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2018), Jun 2018, Paris, France |
| Popis: | International audience; User interfaces for the command and control of systems usually integrate several types of interaction elements: physical space, hardware and software. Within such kind of environment, operators have to complete their tasks manipulating hardware and software elements that are distributed in the physical space. However, current tasks description notations do not take into account physical and hardware aspects beyond manipulation of input devices such as mouse and keyboard. This paper proposes a set of extensions to task modeling techniques in order to represent user goals and activities when interacting with distributed hardware and software user interfaces. These extensions are demonstrated with the HAMSTERS-XL notation and tool. These models can be analyzed and simulated to support identification of cumbersome tasks, motoric and perceptive efforts and sub-optimal UI distributions. We present how such information can be used for improving the user interface of the hardware and software distributed user interfaces. We exemplify the approach on a simple but realistic example: The Philips Hue light bulb system. |
| Databáze: | OpenAIRE |
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