Lexical Entrainment in Multi-party Human-Robot Interaction

被引:0
|
作者
Kimoto, Mitsuhiko [1 ,2 ]
Iio, Takamasa [2 ,3 ,4 ]
Imai, Michita [1 ]
Shiomi, Masahiro [2 ]
机构
[1] Keio Univ, Yokohama, Kanagawa, Japan
[2] ATR IRC, Kyoto, Japan
[3] Univ Tsukuba, Ibaraki, Japan
[4] JST PRESTO, Saitama, Japan
来源
SOCIAL ROBOTICS, ICSR 2019 | 2019年 / 11876卷
关键词
Human-robot interaction; Lexical entrainment; Multi-party;
D O I
10.1007/978-3-030-35888-4_16
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper reports lexical entrainment in a multi-party human-robot interaction, wherein one robot and two humans serve as participants. Humans tend to use the same terms as their interlocutors while making conversation. This phenomenon is called lexical entrainment. In the field of human-robot interaction, lexical entrainment has been investigated as a one-to-one interaction, and it is still unknown how humans entrain to a robot and/or another human interlocutor in a multi-party interaction. In this study, we investigate which participant, a robot or a human, strongly entrains to the other human's lexical choices in a multi-party group interaction. Moreover, we investigate whether witnessing interaction about whether a human is entrained to a robot affects the entrainment frequency of the other human participant. We conducted a map navigation task wherein a robot and two humans guide each other by describing icon images on the map. Our results showed that the human participants were lexically entrained to a greater extent to the robot than the human participant in the multi-party interaction. We found no significant effect proving that a human participant witnessing an interaction between a human and a robot would become more entrained to the robot or the other human participant.
引用
收藏
页码:165 / 175
页数:11
相关论文
共 50 条
  • [1] A Gesture-Centric Android System for Multi-Party Human-Robot Interaction
    Kondo, Yutaka
    Takemura, Kentaro
    Takamatsu, Jun
    Ogasawara, Tsukasa
    [J]. JOURNAL OF HUMAN-ROBOT INTERACTION, 2013, 2 (01): : 133 - 151
  • [2] Multi-party Human-Robot Interaction with Distant-Talking Speech Recognition
    Gomez, Randy
    Kawahara, Tatsuya
    Nakamura, Keisuke
    Nakadai, Kazuhiro
    [J]. HRI'12: PROCEEDINGS OF THE SEVENTH ANNUAL ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2012, : 439 - 446
  • [3] Automatically Classifying User Engagement for Dynamic Multi-party Human-Robot Interaction
    Foster, Mary Ellen
    Gaschler, Andre
    Giuliani, Manuel
    [J]. INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2017, 9 (05) : 659 - 674
  • [4] Lexical Entrainment in Human-Robot Interaction: Can Robots Entrain Human Vocabulary?
    Iio, Takamasa
    Shiomi, Masahiro
    Shinozawa, Kazuhiko
    Miyashita, Takahiro
    Akimoto, Takaaki
    Hagita, Norihiro
    [J]. 2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 3727 - 3734
  • [5] Estimating Response Obligation in Multi-Party Human-Robot Dialogues
    Sugiyama, Takaaki
    Funakoshi, Kotaro
    Nakano, Mikio
    Komatani, Kazunori
    [J]. 2015 IEEE-RAS 15TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2015, : 166 - 172
  • [6] A Multi-party Multi-modal Dataset for Focus of Visual Attention in Human-human and Human-robot Interaction
    Stefanov, Kalin
    Beskow, Jonas
    [J]. LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2016, : 4440 - 4444
  • [7] Lexical Entrainment in Human Robot Interaction
    Iio, Takamasa
    Shiomi, Masahiro
    Shinozawa, Kazuhiko
    Shimohara, Katsunori
    Miki, Mitsunori
    Hagita, Norihiro
    [J]. INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2015, 7 (02) : 253 - 263
  • [8] A Collaborative Human-Robot Game as a Test-bed for Modelling Multi-party, Situated Interaction
    Skantze, Gabriel
    Johansson, Martin
    Beskow, Jonas
    [J]. INTELLIGENT VIRTUAL AGENTS, IVA 2015, 2015, 9238 : 348 - 351
  • [9] Multi-party Interaction with a Robot Receptionist
    Moujahid, Meriam
    Hastie, Helen
    Lemon, Oliver
    [J]. PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, : 927 - 931
  • [10] Regulation and entrainment in human-robot interaction
    Breazeal, C
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2002, 21 (10-11): : 883 - 902