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Automatic Generation of User Manuals without Automation Surprises for Human-Machine Systems Modeled by Discrete Event Systems

Toshimitsu USHIO, Satoshi TAKAHASHI

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Summary :

In human-machine systems, a user gets abstracted information of a machine via an interface and operates it referring to a manual. If a manual has an erroneous description leading to automation surprises, the user may be lost in his/her operations so that he/she may make a serious human error. In this paper, we propose an algorithm for generating a manual by which automation surprises never occur. We model the machine and the interface as a discrete event system and a mapping from machine's state to a display of the interface, respectively. First, we represent a manual as a finite language and model behavior of the system operated by the user with the manual as a tree called an operational tree. Next, we characterize three automation surprises using the tree. Finally, we propose an algorithm for generating an operational tree by which the machine reaches a target state.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.11 pp.3237-3244
Publication Date
2008/11/01
Publicized
Online ISSN
1745-1337
DOI
10.1093/ietfec/e91-a.11.3237
Type of Manuscript
Special Section PAPER (Special Section on Concurrent/Real-time and Hybrid Systems: Theory and Applications)
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