Explainability for Human-Robot Collaboration-Reference-Cited by-同舟云学术

Explainability for Human-Robot Collaboration

Published:2024-03-11 Issue: Volume: Page:1364-1366
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Container-title:Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
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Author:

Yadollahi Elmira¹^ORCID,Romeo Marta²^ORCID,Dogan Fethiye Irmak¹^ORCID,Johal Wafa³^ORCID,De Graaf Maartje⁴^ORCID,Levy-Tzedek Shelly⁵^ORCID,Leite Iolanda¹^ORCID

Affiliation:

1. KTH Royal Institute of Technology, Stockholm, Sweden

2. Heriot-Watt University, Edinburgh, United Kingdom

3. University of Melbourne, Melbourne, Australia

4. Utrecht University, Utrecht, Netherlands

5. Ben-Gurion University of the Negev, Beer Sheva, Israel

Funder

Swedish Foundation for Strategic Research

S-FACTOR project from NordForsk

Australian Research Council Discovery Early Career Research Award

Digital Futures

Vinnova Competence Center for Trustworthy Edge Computing Systems and Applications

UKRI TAS Node on Trust

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610978.3638154

Reference14 articles.

1. Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy

2. Maartje MA De Graaf and Bertram F Malle. 2017. How people explain action (and autonomous intelligent systems should too). In 2017 AAAI Fall Symposium Series.

3. Leveraging explainability for understanding object descriptions in ambiguous 3D environments

4. Legibility and predictability of robot motion

5. Mark Edmonds, Feng Gao, Hangxin Liu, Xu Xie, Siyuan Qi, Brandon Rothrock, Yixin Zhu, Ying Nian Wu, Hongjing Lu, and Song-Chun Zhu. 2019. A tale of two explanations: Enhancing human trust by explaining robot behavior. Science Robotics, Vol. 4, 37 (2019).