research-article

NAMIDA: Sociable Driving Agents with Multiparty Conversation

Authors:

Soshi Yoshikawa,

Michio OkadaAuthors Info & Claims

HAI '16: Proceedings of the Fourth International Conference on Human Agent Interaction

Pages 35 - 42

https://doi.org/10.1145/2974804.2974811

Published: 04 October 2016 Publication History

Abstract

We propose a multi party conversational social interface NAMIDA through a pilot study. The system consists of three robots that can converse with each other about environment throughout the road. Through this model, the directed utterances towards the driver diminishes by utilizing turn-taking process between the agents, and the mental workload of the driver can be reduced compared to the conventional one-to-one communication based approach that directly addresses the driver. We set up an experiment to compare the both approaches to explore their effects on the workload and attention behaviors of drivers. The results indicated that the multi-party conversational approach has a better effect on reducing certain workload factors. Also, the analysis of attention behaviors of drivers revealed that our method can better promote the drivers to focus on the road.

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Cited By

Li SYuan XZhao XYang S(2023)Leaders or Team-Mates: Exploring the Role-Based Relationship Between Multiple Intelligent Agents in Driving ScenariosHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-35678-0_9(144-165)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35678-0_9
Ringfort-Felner RLaschke MSadeghian SHassenzahl M(2022)KiroProceedings of the ACM on Human-Computer Interaction10.1145/34928526:GROUP(1-21)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3492852
Kim BHong JLee W(2022)Poly: Shape-changing Conversational Agent Helps Identify Multiple Characters in StorytellingProceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3490149.3505573(1-7)Online publication date: 13-Feb-2022
https://dl.acm.org/doi/10.1145/3490149.3505573
Show More Cited By

Index Terms

NAMIDA: Sociable Driving Agents with Multiparty Conversation
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Other conferences

HAI '16: Proceedings of the Fourth International Conference on Human Agent Interaction

October 2016

414 pages

ISBN:9781450345088

DOI:10.1145/2974804

General Chairs:
Wei Yun Yau
A*STAR Institute for Infocomm Research, Singapore
,
Takashi Omori
Tamagawa University, Japan
,
Program Chairs:
Giorgio Metta
Italian Institute of Technology, Italy
,
Hirotaka Osawa
University of Tsukuba, Japan
,
Shengdong Zhao
National University of Singapore, Singapore

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Chinese and Oriental Language Information Processing Society: Chinese and Oriental Language Information Processing Society

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 October 2016

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Japan Society for the Promotion of Science (JSPS)

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HAI '16

Sponsor:

Chinese and Oriental Language Information Processing Society

HAI '16: The Fourth International Conference on Human Agent Interaction

October 4 - 7, 2016

Biopolis, Singapore

Acceptance Rates

HAI '16 Paper Acceptance Rate 29 of 182 submissions, 16%;

Overall Acceptance Rate 121 of 404 submissions, 30%

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Cited By

Li SYuan XZhao XYang S(2023)Leaders or Team-Mates: Exploring the Role-Based Relationship Between Multiple Intelligent Agents in Driving ScenariosHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-35678-0_9(144-165)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35678-0_9
Ringfort-Felner RLaschke MSadeghian SHassenzahl M(2022)KiroProceedings of the ACM on Human-Computer Interaction10.1145/34928526:GROUP(1-21)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3492852
Kim BHong JLee W(2022)Poly: Shape-changing Conversational Agent Helps Identify Multiple Characters in StorytellingProceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3490149.3505573(1-7)Online publication date: 13-Feb-2022
https://dl.acm.org/doi/10.1145/3490149.3505573
Yoo YLee JKim NYang MLee SKim J(2022)An empirical study on the effect of a driving companion bot on anger coping behaviorsBehaviour & Information Technology10.1080/0144929X.2021.201983142:4(329-344)Online publication date: 15-Mar-2022
https://doi.org/10.1080/0144929X.2021.2019831
Lee SJeon M(2022)A systematic review of functions and design features of in-vehicle agentsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102864165:COnline publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102864
Iio TYoshikawa YChiba MAsami TIsoda YIshiguro H(2020)Twin-Robot Dialogue System with Robustness against Speech Recognition Failure in Human-Robot Dialogue with Elderly PeopleApplied Sciences10.3390/app1004152210:4(1522)Online publication date: 23-Feb-2020
https://doi.org/10.3390/app10041522
Karatas NTamura SFushiki MOkada MImai MNorman TSklar EKomatsu T(2018)Multi-party Conversation of Driving AgentsProceedings of the 6th International Conference on Human-Agent Interaction10.1145/3284432.3284466(84-91)Online publication date: 4-Dec-2018
https://dl.acm.org/doi/10.1145/3284432.3284466
Song SYamada SMutlu BTscheligi MWeiss AYoung J(2017)Expressing Emotions through Color, Sound, and Vibration with an Appearance-Constrained Social RobotProceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction10.1145/2909824.3020239(2-11)Online publication date: 6-Mar-2017
https://dl.acm.org/doi/10.1145/2909824.3020239
Karatas NYoshikawa STamura SOtaki SFunayama ROkada M(2017)Sociable driving agents to maintain driver's attention in autonomous driving2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)10.1109/ROMAN.2017.8172293(143-149)Online publication date: Aug-2017
https://doi.org/10.1109/ROMAN.2017.8172293

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