Development of Interest Estimation Tool for Effective HAI
Pages 483 - 486
Abstract
In the human-agent interaction (HAI) task, the mechanism underlying the human interpretation of logic is an important issue. However, despite the rapid development of sensory technologies, the human understanding algorithm is still at an elemental level, and novel methodologies are required. Thus, our aim was to develop an algorithm and a system that can estimate the human mental state by combining physical information from sensors and human knowledge about the interpretation of the behavior of others. As an initial step, we focused on the "interest" component of human behavior and demonstrated effectiveness at estimating human understanding. We then show the results for semi-automatic intention estimation in children. This system may open the way for HAI researchers to understand the real-world interactions that are driven by the human mental state.
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Index Terms
- Development of Interest Estimation Tool for Effective HAI
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Information
Published In
October 2017
550 pages
ISBN:9781450351133
DOI:10.1145/3125739
- General Chairs:
- Britta Wrede,
- Yukie Nagai,
- Program Chairs:
- Takanori Komatsu,
- Marc Hanheide,
- Lorenzo Natale
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Publication History
Published: 27 October 2017
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- Research-article
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- Artificial Intelligence Research Center
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HAI '17
Sponsor:
HAI '17: The Fifth International Conference on Human-Agent Interaction
October 17 - 20, 2017
Bielefeld, Germany
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Overall Acceptance Rate 121 of 404 submissions, 30%
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