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

页码：504 / 513

页数：10

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