Vulnerable robots positively shape human conversational dynamics in a human-robot team

被引:71
|
作者
Traeger, Margaret L. [1 ,2 ]
Sebo, Sarah Strohkorb [3 ]
Jung, Malte [4 ]
Scassellati, Brian [3 ]
Christakis, Nicholas A. [1 ,2 ,5 ,6 ]
机构
[1] Yale Univ, Yale Inst Network Sci, New Haven, CT 06520 USA
[2] Yale Univ, Dept Sociol, New Haven, CT 06520 USA
[3] Yale Univ, Dept Comp Sci, POB 2158, New Haven, CT 06520 USA
[4] Cornell Univ, Dept Informat Sci, Ithaca, NY 14853 USA
[5] Yale Univ, Dept Biomed Engn, New Haven, CT 06520 USA
[6] Yale Univ, Dept Stat & Data Sci, New Haven, CT 06520 USA
基金
美国国家科学基金会;
关键词
human-robot interaction; groups and teams; conversational dynamics; BEHAVIOR; NETWORK; EMOTIONS; TRUST;
D O I
10.1073/pnas.1910402117
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Social robots are becoming increasingly influential in shaping the behavior of humans with whom they interact. Here, we examine how the actions of a social robot can influence human-to-human communication, and not just robot-human communication, using groups of three humans and one robot playing 30 rounds of a collaborative game (n = 51 groups). We find that people in groups with a robot making vulnerable statements converse substantially more with each other, distribute their conversation somewhat more equally, and perceive their groups more positively compared to control groups with a robot that either makes neutral statements or no statements at the end of each round. Shifts in robot speech have the power not only to affect how people interact with robots, but also how people interact with each other, offering the prospect for modifying social interactions via the introduction of artificial agents into hybrid systems of humans and machines.
引用
收藏
页码:6370 / 6375
页数:6
相关论文
共 50 条
  • [21] Adaptive Behavior Generation for Conversational Robot in Human-Robot Negotiation Environment
    Lopez, Miguel Gomez
    Hasegawa, Komei
    Imai, Michita
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON HUMAN AGENT INTERACTION (HAI'17), 2017, : 151 - 159
  • [22] Control sharing in human-robot team interaction
    Music, Selma
    Hirche, Sandra
    [J]. ANNUAL REVIEWS IN CONTROL, 2017, 44 : 342 - 354
  • [23] Cooperative Human-Robot Planning with Team Reasoning
    Hakli, Raul
    [J]. INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2017, 9 (05) : 643 - 658
  • [24] A willingness to be vulnerable: norm psychology and human-robot relationships
    Setman, Stephen A.
    [J]. ETHICS AND INFORMATION TECHNOLOGY, 2021, 23 (04) : 815 - 824
  • [25] Social Robots as Coaches: How Human-Robot Interaction Positively Impacts Motivation in Sports Training Sessions
    Sackl, Andreas
    Pretolesi, Daniele
    Burger, Sophia
    Ganglbauer, Markus
    Tscheligi, Manfred
    [J]. 2022 31ST IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN 2022), 2022, : 141 - 148
  • [26] How and When Can Robots Be Team Members? Three Decades of Research on Human-Robot Teams
    Wolf, Franziska Doris
    Stock-Homburg, Ruth Maria
    [J]. GROUP & ORGANIZATION MANAGEMENT, 2023, 48 (06) : 1666 - 1744
  • [27] Social Human-Robot Interaction of Human-care Service Robots
    Ahn, Ho Seok
    Choi, JongSuk
    Moon, Hyungpil
    Lim, Yoonseob
    [J]. COMPANION OF THE 2018 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'18), 2018, : 385 - 386
  • [28] Integration of Scene Image and Conversational Text for Human-Robot Dialogue
    Wang, Hao-Yi
    Huang, Jhih-Yuan
    Lee, Wei-Po
    [J]. 2021 FIFTH IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC 2021), 2021, : 43 - 49
  • [29] Social Human-Robot Interaction of Human-care Service Robots
    Ahn, Ho Seok
    Choi, JongSuk
    Moon, Hyungpil
    Jang, Minsu
    Kwak, Sonya S.
    Lim, Yoonseob
    [J]. HRI '19: 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2019, : 698 - 699
  • [30] Working With Robots: Human Resource Development Considerations in Human-Robot Interaction
    Kim, Sehoon
    [J]. HUMAN RESOURCE DEVELOPMENT REVIEW, 2022, 21 (01) : 48 - 74