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
相关论文
共 50 条
  • [1] A methodology for diagnostic evaluation of spoken human-machine dialogue
    Dybkjaer, L
    Bernsen, NO
    Dybkjaer, H
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 1998, 48 (05) : 605 - 625
  • [2] An Arabic human-machine oral dialogue manager: Fulfillment and evaluation
    Bahou, Younès
    Bayoudhi, Amine
    Belguith, Lamia Hadrich
    CORIA 2010: Actes de la COnference en Recherche d'Information et Applications - Proceedings of the Conference on Information Retrieval and Applications, 2010, : 19 - 34
  • [3] Multi-agent modelling and analysis of the knowledge learning of a human-machine hybrid intelligent organization with human-machine trust
    Xue, Chaogai
    Zhang, Haoxiang
    Cao, Haiwang
    SYSTEMS SCIENCE & CONTROL ENGINEERING, 2024, 12 (01)
  • [4] DEPLOYMENT OF HUMAN-MACHINE DIALOGUE SYSTEMS
    ROE, DB
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1995, 92 (22) : 10017 - 10022
  • [5] The persuasive power of human-machine dialogue
    Ramachandran, Divya
    Canny, John
    PERSUASIVE TECHNOLOGY, 2008, 5033 : 189 - 200
  • [6] Building Trust in Human-Machine Partnerships
    Canal, Gerard
    Borgo, Rita
    Coles, Andrew
    Drake, Archie
    Dong Huynh
    Keller, Perry
    Krivic, Senka
    Luff, Paul
    Mahesar, Quratul-ain
    Moreau, Luc
    Parsons, Simon
    Patel, Menisha
    Sklar, Elizabeth I.
    COMPUTER LAW & SECURITY REVIEW, 2020, 39
  • [7] Trust and communication in human-machine teaming
    Ibrahim, Memunat A. A.
    Assaad, Zena
    Williams, Elizabeth
    FRONTIERS IN PHYSICS, 2022, 10
  • [8] Towards Better Trust in Human-Machine Teaming through Explainable Dependability
    Bersani, Marcello M.
    Camilli, Matteo
    Lestingi, Livia
    Mirandola, Raffaela
    Rossi, Matteo
    Scandurra, Patrizia
    2023 IEEE 20TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION, ICSA-C, 2023, : 86 - 90
  • [9] A Review on Human-Machine Trust Evaluation: Human-Centric and Machine-Centric Perspectives
    Gebru, Biniam
    Zeleke, Lydia
    Blankson, Daniel
    Nabil, Mahmoud
    Nateghi, Shamila
    Homaifar, Abdollah
    Tunstel, Edward
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2022, 52 (05) : 952 - 962
  • [10] User errors in spoken human-machine dialogue
    Bernsen, NO
    Dybkjaer, L
    Dybkjaer, H
    DIALOGUE PROCESSING IN SPOKEN LANGUAGE SYSTEMS, 1997, 1236 : 14 - 28
12345