You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo

Jeroen Linssen; Meike Berkhoff; Max Bode; Eduard Rens; Mariët  Theune; Daan Wiltenburg

doi:10.1007/978-3-319-67401-8_33

You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo

Jeroen Linssen^*
, Meike Berkhoff
, Max Bode
, Eduard Rens
, Mariët Theune^*
, Daan Wiltenburg

^*Corresponding author for this work

Human Media Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

163 Downloads (Pure)

Abstract

In two small studies, we investigated how a virtual human/ robot duo can complement each other in joint interaction with one or more users. The robot takes care of turn management while the virtual human draws attention to the robot. Our results show that having the virtual human address the robot, highlights the latter’s role in the interaction. Having the robot nonverbally indicate the intended addressee of a question asked by the virtual human proved successful in all cases when the robot was first addressed by the virtual human.

Original language	English
Title of host publication	Intelligent Virtual Agents
Subtitle of host publication	17th International Conference, IVA 2017, Stockholm, Sweden, August 27-30, 2017, Proceedings
Editors	Jonas Beskow, Christopher Peters, Ginevra Castellano, Carol O'Sullivan, Iolanda Leite, Stefan Kopp
Place of Publication	Cham
Publisher	Springer
Pages	251-254
Number of pages	4
ISBN (Electronic)	978-3-319-67401-8
ISBN (Print)	978-3-319-67400-1
DOIs	https://doi.org/10.1007/978-3-319-67401-8_33
Publication status	Published - Aug 2017
Event	17th International Conference on Intelligent Virtual Agents, IVA 2017 - KTH, Stockholm, Sweden Duration: 27 Aug 2017 → 30 Aug 2017 Conference number: 17 http://iva2017.org/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	10498
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Intelligent Virtual Agents, IVA 2017
Abbreviated title	IVA
Country/Territory	Sweden
City	Stockholm
Period	27/08/17 → 30/08/17
Internet address	http://iva2017.org/

Keywords

2025 OA procedure
Attention management
Turn taking
Multi-party interaction
Gaze in conversation
Robot

Access to Document

10.1007/978-3-319-67401-8_33

ArticleFinal published version, 269 KBLicence: Taverne

Cite this

Linssen, J., Berkhoff, M., Bode, M., Rens, E., Theune, M., & Wiltenburg, D. (2017). You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo. In J. Beskow, C. Peters, G. Castellano, C. O'Sullivan, I. Leite, & S. Kopp (Eds.), Intelligent Virtual Agents: 17th International Conference, IVA 2017, Stockholm, Sweden, August 27-30, 2017, Proceedings (pp. 251-254). (Lecture Notes in Computer Science; Vol. 10498). Springer. https://doi.org/10.1007/978-3-319-67401-8_33

Linssen, Jeroen ; Berkhoff, Meike ; Bode, Max et al. / You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo. Intelligent Virtual Agents: 17th International Conference, IVA 2017, Stockholm, Sweden, August 27-30, 2017, Proceedings. editor / Jonas Beskow ; Christopher Peters ; Ginevra Castellano ; Carol O'Sullivan ; Iolanda Leite ; Stefan Kopp. Cham : Springer, 2017. pp. 251-254 (Lecture Notes in Computer Science).

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title = "You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo",

abstract = "In two small studies, we investigated how a virtual human/ robot duo can complement each other in joint interaction with one or more users. The robot takes care of turn management while the virtual human draws attention to the robot. Our results show that having the virtual human address the robot, highlights the latter{\textquoteright}s role in the interaction. Having the robot nonverbally indicate the intended addressee of a question asked by the virtual human proved successful in all cases when the robot was first addressed by the virtual human.",

keywords = "2025 OA procedure, Attention management, Turn taking, Multi-party interaction, Gaze in conversation, Robot",

author = "Jeroen Linssen and Meike Berkhoff and Max Bode and Eduard Rens and Mari{\"e}t Theune and Daan Wiltenburg",

year = "2017",

month = aug,

doi = "10.1007/978-3-319-67401-8\_33",

language = "English",

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series = "Lecture Notes in Computer Science",

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editor = "Jonas Beskow and Christopher Peters and Ginevra Castellano and Carol O'Sullivan and Iolanda Leite and Stefan Kopp",

booktitle = "Intelligent Virtual Agents",

address = "Germany",

note = "17th International Conference on Intelligent Virtual Agents, IVA 2017, IVA ; Conference date: 27-08-2017 Through 30-08-2017",

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Linssen, J, Berkhoff, M, Bode, M, Rens, E, Theune, M & Wiltenburg, D 2017, You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo. in J Beskow, C Peters, G Castellano, C O'Sullivan, I Leite & S Kopp (eds), Intelligent Virtual Agents: 17th International Conference, IVA 2017, Stockholm, Sweden, August 27-30, 2017, Proceedings. Lecture Notes in Computer Science, vol. 10498, Springer, Cham, pp. 251-254, 17th International Conference on Intelligent Virtual Agents, IVA 2017, Stockholm, Sweden, 27/08/17. https://doi.org/10.1007/978-3-319-67401-8_33

You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo. / Linssen, Jeroen; Berkhoff, Meike; Bode, Max et al.
Intelligent Virtual Agents: 17th International Conference, IVA 2017, Stockholm, Sweden, August 27-30, 2017, Proceedings. ed. / Jonas Beskow; Christopher Peters; Ginevra Castellano; Carol O'Sullivan; Iolanda Leite; Stefan Kopp. Cham: Springer, 2017. p. 251-254 (Lecture Notes in Computer Science; Vol. 10498).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Linssen, Jeroen

AU - Berkhoff, Meike

AU - Bode, Max

AU - Rens, Eduard

AU - Theune, Mariët

AU - Wiltenburg, Daan

N1 - Conference code: 17

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N2 - In two small studies, we investigated how a virtual human/ robot duo can complement each other in joint interaction with one or more users. The robot takes care of turn management while the virtual human draws attention to the robot. Our results show that having the virtual human address the robot, highlights the latter’s role in the interaction. Having the robot nonverbally indicate the intended addressee of a question asked by the virtual human proved successful in all cases when the robot was first addressed by the virtual human.

AB - In two small studies, we investigated how a virtual human/ robot duo can complement each other in joint interaction with one or more users. The robot takes care of turn management while the virtual human draws attention to the robot. Our results show that having the virtual human address the robot, highlights the latter’s role in the interaction. Having the robot nonverbally indicate the intended addressee of a question asked by the virtual human proved successful in all cases when the robot was first addressed by the virtual human.

KW - 2025 OA procedure

KW - Attention management

KW - Turn taking

KW - Multi-party interaction

KW - Gaze in conversation

KW - Robot

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DO - 10.1007/978-3-319-67401-8_33

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A2 - Kopp, Stefan

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ER -

Linssen J, Berkhoff M, Bode M, Rens E, Theune M, Wiltenburg D. You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo. In Beskow J, Peters C, Castellano G, O'Sullivan C, Leite I, Kopp S, editors, Intelligent Virtual Agents: 17th International Conference, IVA 2017, Stockholm, Sweden, August 27-30, 2017, Proceedings. Cham: Springer. 2017. p. 251-254. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-67401-8_33

You Can Leave Your Head On: Attention Management and Turn-Taking in Multi-party Interaction with a Virtual Human/Robot Duo

Abstract

Publication series

Conference

Keywords

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