TY - GEN
T1 - Lexical Entrainment in Multi-party Human–Robot Interaction
AU - Kimoto, Mitsuhiko
AU - Iio, Takamasa
AU - Imai, Michita
AU - Shiomi, Masahiro
N1 - Funding Information:
Acknowledgements. This research work was supported in part by JSPS KAKENHI Grant Numbers JP19J01290 and JP18H03311, and JST PRESTO Grant Number JPMJPR1851, Japan.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Human–robot interaction
KW - Lexical entrainment
KW - Multi-party
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U2 - 10.1007/978-3-030-35888-4_16
DO - 10.1007/978-3-030-35888-4_16
M3 - Conference contribution
AN - SCOPUS:85076539878
SN - 9783030358877
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 165
EP - 175
BT - Social Robotics - 11th International Conference, ICSR 2019, Proceedings
A2 - Salichs, Miguel A.
A2 - Ge, Shuzhi Sam
A2 - Barakova, Emilia Ivanova
A2 - Cabibihan, John-John
A2 - Wagner, Alan R.
A2 - Castro-González, Álvaro
A2 - He, Hongsheng
PB - Springer
T2 - 11th International Conference on Social Robotics, ICSR 2019
Y2 - 26 November 2019 through 29 November 2019
ER -