Evaluating People's Perception of Trust of a Deceptive Robot with Theory of Mind in an Assistive Gaming Scenario

被引:0
|
作者
Rossi, Alessandra [1 ]
Rossi, Silvia [1 ]
机构
[1] Univ Naples Federico II, Dept Elect Engn & Informat Technol, Via Claudio 21, I-80125 Naples, Italy
关键词
D O I
10.1109/RO-MAN57019.2023.10309647
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the past few years, human-robot deception has been receiving growing attention in several fields (e.g., human-robot interaction, laws, philosophy, and psychology). While deception both in human-human and human-robot interactions may have positive consequences, it still presents philosophical and psychological controversy. In particular, verbal deceptions (i.e., in the form of lies or misleading information) may be judged as intentional behaviour at times. While intentionality has been recognised as fundamental in the development of trust, it is not yet fully clear which mechanisms can be designed to foster trust and the potential issues connected to deception. To this extent, in this study, we investigate whether the ability of mentalizing may be one of such mechanisms. We conducted a user study during a public fair, where participants played an assistive game with a robot endowed with Theory of Mind (ToM). We collected the responses from 37 participants to evaluate their perception of trust in the robot. During the game, the robot may occasionally have deceptive behaviours suggesting the wrong move to the human players. Our results showed that a deceptive robot was less trusted compared to a non-deceiving one. We also found that people's perception of the robot was positively affected by the frequency of exposure to deception (i.e., wrong suggestions).
引用
收藏
页码:1375 / 1380
页数:6
相关论文
共 50 条
  • [1] Evaluating the Effect of Theory of Mind on People's Trust in a Faulty Robot
    Rossi, Alessandra
    Andriella, Antonio
    Rossi, Silvia
    Torras, Carme
    Alenya, Guillem
    [J]. 2022 31ST IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN 2022), 2022, : 477 - 482
  • [2] Evaluating People's Perception of Trust and Privacy based on Robot's Appearance
    Rossi, Alessandra
    Koay, Kheng Lee
    Rossi, Silvia
    [J]. 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, : 1928 - 1933
  • [3] The theory of mind and human–robot trust repair
    Connor Esterwood
    Lionel P. Robert
    [J]. Scientific Reports, 13
  • [4] Evaluating People's Perceptions of Trust in a Robot in a Repeated Interactions Study
    Rossi, Alessandra
    Dautenhahn, Kerstin
    Koay, Kheng Lee
    Walters, Michael L.
    Holthaus, Patrick
    [J]. SOCIAL ROBOTICS, ICSR 2020, 2020, 12483 : 453 - 465
  • [5] The theory of mind and human-robot trust repair
    Esterwood, Connor
    Robert, Lionel P.
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
  • [6] Theory of Mind and Trust in Human-Robot Navigation
    McKenna, Peter E.
    Romeo, Marta
    Pimentel, Jhielson
    Diab, Mohammed
    Moujahid, Meriam
    Hastie, Helen
    Demiris, Yiannis
    [J]. FIRST INTERNATIONAL SYMPOSIUM ON TRUSTWORTHY AUTONOMOUS SYSTEMS, TAS 2023, 2022,
  • [7] Theory of Mind Improves Human's Trust in an Iterative Human-Robot Game
    Ruocco, Martina
    Mou, Wenxuan
    Cangelosi, Angelo
    Jay, Caroline
    Zanatto, Debora
    [J]. PROCEEDINGS OF THE 9TH INTERNATIONAL USER MODELING, ADAPTATION AND PERSONALIZATION HUMAN-AGENT INTERACTION, HAI 2021, 2021, : 227 - 234
  • [8] Would a robot trust you? Developmental robotics model of trust and theory of mind
    Vinanzi, Samuele
    Patacchiola, Massimiliano
    Chella, Antonio
    Cangelosi, Angelo
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2019, 374 (1771)
  • [9] MATY: Designing An Assistive Robot for People with Alzheimer's
    Simao, Hugo
    Guerreiro, Tiago
    [J]. CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,
  • [10] When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions
    Mou, Wenxuan
    Ruocco, Martina
    Zanatto, Debora
    Cangelosi, Angelo
    [J]. 2020 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), 2020, : 956 - 962