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.
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Toshimitsu USHIO, Satoshi TAKAHASHI, "Automatic Generation of User Manuals without Automation Surprises for Human-Machine Systems Modeled by Discrete Event Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 11, pp. 3237-3244, November 2008, doi: 10.1093/ietfec/e91-a.11.3237.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.11.3237/_p
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@ARTICLE{e91-a_11_3237,
author={Toshimitsu USHIO, Satoshi TAKAHASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Automatic Generation of User Manuals without Automation Surprises for Human-Machine Systems Modeled by Discrete Event Systems},
year={2008},
volume={E91-A},
number={11},
pages={3237-3244},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e91-a.11.3237},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - Automatic Generation of User Manuals without Automation Surprises for Human-Machine Systems Modeled by Discrete Event Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3237
EP - 3244
AU - Toshimitsu USHIO
AU - Satoshi TAKAHASHI
PY - 2008
DO - 10.1093/ietfec/e91-a.11.3237
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2008
AB - 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.
ER -