Abstract
Human's direct supervision on robot's erroneous behavior is crucial to enhance a robot intelligence for a 'flawless' human-robot interaction. Motivating humans to engage more actively for this purpose is however difficult. To alleviate such strain, this research proposes a novel approach, a growth and regression metaphoric interaction design inspired from human's communicative, intellectual, social competence aspect of developmental stages. We implemented the interaction design principle unto a conversational agent combined with a set of synthetic sensors. Within this context, we aim to show that the agent successfully encourages the online labeling activity in response to the faulty behavior of robots as a supervision process. The field study is going to be conducted to evaluate the efficacy of our proposal by measuring the annotation performance of real-time activity events in the wild. We expect to provide a more effective and practical means to supervise robot by real-time data labeling process for long-term usage in the human-robot interaction.
Original language | English |
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Title of host publication | HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction |
Publisher | IEEE Computer Society |
Pages | 646-647 |
Number of pages | 2 |
ISBN (Electronic) | 9781538685556 |
DOIs | |
Publication status | Published - 2019 Mar 22 |
Event | 14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of Duration: 2019 Mar 11 → 2019 Mar 14 |
Publication series
Name | ACM/IEEE International Conference on Human-Robot Interaction |
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Volume | 2019-March |
ISSN (Electronic) | 2167-2148 |
Conference
Conference | 14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 |
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Country | Korea, Republic of |
City | Daegu |
Period | 19/3/11 → 19/3/14 |
Bibliographical note
Funding Information:First three authors were supported by the BK21 Plus Grant given for Yonsei School of Business (Fostering Startup Professionals Based on Creativity, Entrepreneurship, and Sustainability). Last author was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016R1D1A1B02015987).
Funding Information:
First three authors were supported by the BK21 Plus Grant given for Yonsei School of Business (Fostering Startup Professionals Based on Creativity, Entrepreneurship, and Sustainability). Last author was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF- 2016R1D1A1B02015987).
Publisher Copyright:
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering