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Towards Adaptive and Least-Collaborative-Effort Social Robots

Published: 01 April 2020 Publication History

Abstract

In the future, assistive social robots will collaborate with humans in a variety of settings. Robots will not only follow human orders but will likely also instruct users during certain tasks. Such robots will inevitably encounter user uncertainty and hesitations. They will continuously need to repair mismatches in common ground in their interactions with humans. In this work, we argue that social robots should instruct humans following the principle of least-collaborative-effort. Like humans do when instructing each other, robots should minimise information efficiency over the benefits of collaborative interactive behaviour. In this paper, we first introduce the concept of least-collaborative-effort in human communication and then discuss implications for design of instructions in human-robot collaboration.

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  • (2024)Grounding with Structure: Exploring Design Variations of Grounded Human-AI Collaboration in a Natural Language InterfaceProceedings of the ACM on Human-Computer Interaction10.1145/36869028:CSCW2(1-27)Online publication date: 8-Nov-2024
  • (2023)Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public EnvironmentsProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638440(701-705)Online publication date: 2-Dec-2023
  • (2022)Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900859(293-300)Online publication date: 29-Aug-2022
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cover image ACM Conferences
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
March 2020
702 pages
ISBN:9781450370578
DOI:10.1145/3371382
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.

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Published: 01 April 2020

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Author Tags

  1. assistive technologies
  2. collaboration
  3. common ground, task-oriented dialogue
  4. human-robot dialogue

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Overall Acceptance Rate 192 of 519 submissions, 37%

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Cited By

View all
  • (2024)Grounding with Structure: Exploring Design Variations of Grounded Human-AI Collaboration in a Natural Language InterfaceProceedings of the ACM on Human-Computer Interaction10.1145/36869028:CSCW2(1-27)Online publication date: 8-Nov-2024
  • (2023)Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public EnvironmentsProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638440(701-705)Online publication date: 2-Dec-2023
  • (2022)Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900859(293-300)Online publication date: 29-Aug-2022
  • (2021)Measuring Collaboration Load With Pupillary Responses - Implications for the Design of Instructions in Task-Oriented HRIFrontiers in Psychology10.3389/fpsyg.2021.62365712Online publication date: 20-Jul-2021

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