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Are You Messing with Me?: Querying about the Sincerity of Interactions in the Open World

Published: 07 March 2016 Publication History

Abstract

When interacting with robots deployed in the open world, people may often attempt to engage with them in a playful manner or test their competencies. Such engagements are often associated with language and behaviors that fall outside of designed task capabilities and can lead to interaction failures. Detecting when users are driven by play and curiosity can help a robot to understand why some interactions are breaking down, respond more appropriately by conveying its capabilities to its users, and enhance perceptions of its situational awareness and social intelligence. We have been studying the intentions of everyday users in their engagement with a long-lived robot system that provides directions within an office building. We report on a pilot field-study exploring the use of direct queries to elicit the sincerity of user requests, in terms of their actual need for directions. We discuss early results from this initial study and frame research directions and design implications for robots deployed in the wild.

References

[1]
Bohus, D., Saw, C. W., & Horvitz, E. (2014). Directions robot: In-the-wild experiences and lessons learned. In Proc. AAMAS '14. (pp. 637--644).
[2]
Fischer, K. (2011). How people talk with robots: Designing dialog to reduce user uncertainty. AI Magazine, 32(4), 31--38.
[3]
Lee, M. K., & Makatchev, M. (2009). How do people talk with a robot?: An analysis of human-robot dialogues in the real world. In CHI'09 Extended Abstracts, ACM.
[4]
Makatchev, M., & Simmons, R. G. (2010). Do you really want to know? Display questions in human-robot dialogues. In AAAI Fall Symposium: Dialog with Robots.

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Information & Contributors

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Published In

cover image ACM Conferences
HRI '16: The Eleventh ACM/IEEE International Conference on Human Robot Interaction
March 2016
676 pages
ISBN:9781467383707

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In-Cooperation

  • AAAI: American Association for Artificial Intelligence
  • Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc

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IEEE Press

Publication History

Published: 07 March 2016

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  1. elicitation actions
  2. off-task interaction
  3. user intentions

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HRI '16
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HRI '16 Paper Acceptance Rate 45 of 181 submissions, 25%;
Overall Acceptance Rate 268 of 1,124 submissions, 24%

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