Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships

Takumi Horie, Kazunori Takashio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the future, communication robots are expected to join many-to-many human-robot interactions. Thus, robots must handle interruptions requesting a new task outside of the current conversation. In this paper, we propose a novel scheduler which decides switch timing of conversational tasks when a robot is interrupted. The model grasps the structure of the conversation and finds its breakpoints based on adjacency pairs. In order to decide whether to switch conversational tasks on each breakpoint or not, the model prioritizes conversational tasks considering an importance of its topic and a length as contexts of each conversational task. The model also uses human relationships and emotional behaviors to decide priority of conversational tasks. The result of an evaluation experiment shows that our proposed scheduler could impress subjects more favorably than that which always prioritizes an interrupter.

Original languageEnglish
Title of host publicationRO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages528-533
Number of pages6
ISBN (Electronic)9781538679807
DOIs
Publication statusPublished - 2018 Nov 6
Event27th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2018 - Nanjing, China
Duration: 2018 Aug 272018 Aug 31

Other

Other27th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2018
CountryChina
CityNanjing
Period18/8/2718/8/31

Fingerprint

robot
conversation
Robots
interaction
Switches
Human robot interaction
Communication
communication
experiment
Experiments
evaluation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Cognitive Neuroscience
  • Communication
  • Artificial Intelligence

Cite this

Horie, T., & Takashio, K. (2018). Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships. In RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication (pp. 528-533). [8525745] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2018.8525745

Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships. / Horie, Takumi; Takashio, Kazunori.

RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc., 2018. p. 528-533 8525745.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Horie, T & Takashio, K 2018, Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships. in RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication., 8525745, Institute of Electrical and Electronics Engineers Inc., pp. 528-533, 27th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2018, Nanjing, China, 18/8/27. https://doi.org/10.1109/ROMAN.2018.8525745
Horie T, Takashio K. Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships. In RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc. 2018. p. 528-533. 8525745 https://doi.org/10.1109/ROMAN.2018.8525745
Horie, Takumi ; Takashio, Kazunori. / Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships. RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 528-533
@inproceedings{7da06cb411b34acca538fccf3cb4433a,
title = "Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships",
abstract = "In the future, communication robots are expected to join many-to-many human-robot interactions. Thus, robots must handle interruptions requesting a new task outside of the current conversation. In this paper, we propose a novel scheduler which decides switch timing of conversational tasks when a robot is interrupted. The model grasps the structure of the conversation and finds its breakpoints based on adjacency pairs. In order to decide whether to switch conversational tasks on each breakpoint or not, the model prioritizes conversational tasks considering an importance of its topic and a length as contexts of each conversational task. The model also uses human relationships and emotional behaviors to decide priority of conversational tasks. The result of an evaluation experiment shows that our proposed scheduler could impress subjects more favorably than that which always prioritizes an interrupter.",
author = "Takumi Horie and Kazunori Takashio",
year = "2018",
month = "11",
day = "6",
doi = "10.1109/ROMAN.2018.8525745",
language = "English",
pages = "528--533",
booktitle = "RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships

AU - Horie, Takumi

AU - Takashio, Kazunori

PY - 2018/11/6

Y1 - 2018/11/6

N2 - In the future, communication robots are expected to join many-to-many human-robot interactions. Thus, robots must handle interruptions requesting a new task outside of the current conversation. In this paper, we propose a novel scheduler which decides switch timing of conversational tasks when a robot is interrupted. The model grasps the structure of the conversation and finds its breakpoints based on adjacency pairs. In order to decide whether to switch conversational tasks on each breakpoint or not, the model prioritizes conversational tasks considering an importance of its topic and a length as contexts of each conversational task. The model also uses human relationships and emotional behaviors to decide priority of conversational tasks. The result of an evaluation experiment shows that our proposed scheduler could impress subjects more favorably than that which always prioritizes an interrupter.

AB - In the future, communication robots are expected to join many-to-many human-robot interactions. Thus, robots must handle interruptions requesting a new task outside of the current conversation. In this paper, we propose a novel scheduler which decides switch timing of conversational tasks when a robot is interrupted. The model grasps the structure of the conversation and finds its breakpoints based on adjacency pairs. In order to decide whether to switch conversational tasks on each breakpoint or not, the model prioritizes conversational tasks considering an importance of its topic and a length as contexts of each conversational task. The model also uses human relationships and emotional behaviors to decide priority of conversational tasks. The result of an evaluation experiment shows that our proposed scheduler could impress subjects more favorably than that which always prioritizes an interrupter.

UR - http://www.scopus.com/inward/record.url?scp=85058099824&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058099824&partnerID=8YFLogxK

U2 - 10.1109/ROMAN.2018.8525745

DO - 10.1109/ROMAN.2018.8525745

M3 - Conference contribution

AN - SCOPUS:85058099824

SP - 528

EP - 533

BT - RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication

PB - Institute of Electrical and Electronics Engineers Inc.

ER -