Trust Evaluation through Human-Machine Dialogue Modelling

被引：0
|
作者：
Crocquesel, Cyril [1 ,2 ]
Legras, Francois [3 ]
Coppin, Gilles [1 ,2 ]
机构：
[1] Inst Telecom, CNRS, UMR 3192, Lab STICC, Paris, France
[2] Univ Europenne Bretagne, Bretagne, France
[3] Deev Interact, Paris, France
来源：
ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS | 2011年 / 6781卷
关键词：
HUMAN INTERVENTION; AUTOMATION; RELIANCE;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Trust in automation, and particularly maintaining an adequate level of trust in automation is now recognized as a major performance factor in supervisory control. Leveraging man-machine interaction is seen as a promising approach to influence the level of trust of an operator. Two problems need to be addressed in order to reach this goal: first measuring the level of trust; second acting on the level of trust to reach a more appropriate level. In this paper, we tackle the first problem, and propose to use a computational dialogue modelling approach to evaluate trust dynamically. We describe our model on two examples and give some perspectives.
引用
收藏
页码：504 / 513
页数：10
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