abstract

The Role of Intentions in Human-Robot Interaction

Authors:

Serge Thill,

Tom ZiemkeAuthors Info & Claims

HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

Pages 427 - 428

https://doi.org/10.1145/3029798.3029802

Published: 06 March 2017 Publication History

Get Access

Abstract

To be able to understand the intentions of other agents is a fundamental prerequisite for engaging in, for instance, instrumental helping or mutual collaboration. In HRI, the challenge is bi-directional: not only does a robot need the ability to infer intentions of humans, but humans also need to infer the intentions of the robot. It is therefore important to be clear about the theoretical frameworks and inherent assumptions underlying technological implementations related to mutual intention understanding. This remains very much an active research area in which further development is necessary. The core purpose of this workshop is to advance the state of the art in this area.

References

[1]

S. Thill, D. Caligiore, A. M. Borghi, T. Ziemke, and G. Baldassarre, "Theories and computational models of affordance and mirror systems: An integrative review," Neuroscience & Biobehavioral Reviews, vol. 37, no. 3, pp. 491 -- 521, 2013.

Crossref

Google Scholar

[2]

F. Heider and M. Simmel, "An experimental study of apparent behavior," The American Journal of Psychology, pp. 243--259, 1944.

Crossref

Google Scholar

[3]

H. P. Branigan, M. J. Pickering, J. Pearson, J. F. McLean, and A. Brown, "The role of beliefs in lexical alignment: Evidence from dialogs with humans and computers," Cognition, vol. 121, no. 1, pp. 41 -- 57, 2011. {Online}. Available: http://www.sciencedirect.com/science/article/pii/S0010027711001363

Crossref

Google Scholar

[4]

A.-L. Vollmer, B. Wrede, K. J. Rohlfing, and A. Cangelosi, "Do beliefs about a robot's capabilities influence alignment to its actions?" in Development and Learning and Epigenetic Robotics (ICDL), 2013 IEEE Third Joint International Conference on, 2013, pp. 1--6.

Google Scholar

[5]

S. Thill, P. E. Hemeren, and M. Nilsson, "The apparent intelligence of a system as a factor in situation awareness." in Proceedings of the 4th IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2014, pp. 52 -- 58.

Google Scholar

[6]

S. Thill and T. Ziemke, "Interaction as a bridge between cognition and robotics." in "Cognition as a bridge between robotics and interaction" workshop in conjunction with HRI2015, 2015.

Digital Library

Google Scholar

[7]

D. Vernon, S. Thill, and T. Ziemke, "The role of intention in cognitive robotics," in Socially Believable Behaving Systems -- The Quest for Equipping Machines with Human-Level Automaton Intelligence, A. Esposito and L. C. Jain, Eds. Berlin: Springer, 2015, p. in press.

Google Scholar

[8]

D. Vernon, Artificial Cognitive Systems: A primer. Cambridge, MA: MIT Press, 2014.

Digital Library

Google Scholar

Cited By

View all

Tuna AAhmetoğlu E(2022)Use of Humanoid Robots for Students With Intellectual DisabilitiesResearch Anthology on Physical and Intellectual Disabilities in an Inclusive Society10.4018/978-1-6684-3542-7.ch064(1181-1196)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3542-7.ch064
Thellman SZiemke T(2021)The Perceptual Belief ProblemACM Transactions on Human-Robot Interaction10.1145/346178110:3(1-15)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3461781
Tuna AAhmetoğlu E(2019)Use of Humanoid Robots for Students With Intellectual DisabilitiesEducational Technology and the New World of Persistent Learning10.4018/978-1-5225-6361-7.ch011(208-228)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-6361-7.ch011

Index Terms

The Role of Intentions in Human-Robot Interaction
1. Security and privacy
  1. Security services
    1. Privacy-preserving protocols

Recommendations

Social Interaction Moderates Human-Robot Trust-Reliance Relationship and Improves Stress Coping
HRI '16: The Eleventh ACM/IEEE International Conference on Human Robot Interaction

Previous work with non-social human-robot interaction has found no links between trust and reliance (Desai et al., 2013). The current study tested the question: Can social interactions moderate trust-reliance relationship? Human-robot interactions may ...
Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction
HRI '20: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

This paper examines how people's trust and dependence on robot teammates providing decision support varies as a function of different attributes of the robot, such as perceived anthropomorphism, type of support provided by the robot, and its physical ...
Toward an Understanding of Trust Repair in Human-Robot Interaction: Current Research and Future Directions

Gone are the days of robots solely operating in isolation, without direct interaction with people. Rather, robots are increasingly being deployed in environments and roles that require complex social interaction with humans. The implementation of human-...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

March 2017

462 pages

ISBN:9781450348850

DOI:10.1145/3029798

General Chairs:
Bilge Mutlu
University of Wisconsin-Madison, USA
,
Manfred Tscheligi
University of Salzburg, Austria
,
Program Chairs:
Astrid Weiss
Vienna University of Technology, Austria
,
James E. Young
University of Manitoba, Canada

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2017

Check for updates

Author Tags

Qualifiers

Abstract

Funding Sources

KK SIDUS

Conference

HRI '17

Sponsor:

SIGAI
SIGCHI
IEEE-RAS

HRI '17: ACM/IEEE International Conference on Human-Robot Interaction

March 6 - 9, 2017

Vienna, Austria

Acceptance Rates

HRI '17 Paper Acceptance Rate 51 of 211 submissions, 24%;

Overall Acceptance Rate 192 of 519 submissions, 37%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
418
Total Downloads

Downloads (Last 12 months)22
Downloads (Last 6 weeks)2

Reflects downloads up to 13 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Tuna AAhmetoğlu E(2022)Use of Humanoid Robots for Students With Intellectual DisabilitiesResearch Anthology on Physical and Intellectual Disabilities in an Inclusive Society10.4018/978-1-6684-3542-7.ch064(1181-1196)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3542-7.ch064
Thellman SZiemke T(2021)The Perceptual Belief ProblemACM Transactions on Human-Robot Interaction10.1145/346178110:3(1-15)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3461781
Tuna AAhmetoğlu E(2019)Use of Humanoid Robots for Students With Intellectual DisabilitiesEducational Technology and the New World of Persistent Learning10.4018/978-1-5225-6361-7.ch011(208-228)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-6361-7.ch011

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Social Interaction Moderates Human-Robot Trust-Reliance Relationship and Improves Stress Coping

Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction

Toward an Understanding of Trust Repair in Human-Robot Interaction: Current Research and Future Directions