Employing User-Generated Content to Enhance Human-Robot Interaction in a Human-Robot Trust Game
Abstract
This research explores how user-generated content can strategically affect the relationship between human-robot trust and interactional outcomes. Results showed that user-generated content did not directly affect human-robot trust or interactional outcomes. Interestingly, the data were consistent with a moderation model, such that exposure to user-generated content altered the correlation between human-robot trust and interactional outcome from an unfavorable to a favorable way. These results prompt the need for a new research program that could be developed to focus on deploying strategic messages via user-generated content to create better HRI.
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Index Terms
- Employing User-Generated Content to Enhance Human-Robot Interaction in a Human-Robot Trust Game
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Information
Published In
March 2016
676 pages
ISBN:9781467383707
- General Chairs:
- Christoph Bartneck,
- Yukie Nagai,
- Program Chairs:
- Ana Paiva,
- Selma Šabanović
Sponsors
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- RA: IEEE Robotics and Automation Society
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
In-Cooperation
- AAAI: American Association for Artificial Intelligence
- Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc
Publisher
IEEE Press
Publication History
Published: 07 March 2016
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HRI '16: ACM/IEEE International Conference on Human-Robot Interaction
March 7 - 10, 2016
Christchurch, New Zealand
Acceptance Rates
HRI '16 Paper Acceptance Rate 45 of 181 submissions, 25%;
Overall Acceptance Rate 268 of 1,124 submissions, 24%
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