| Project/Area Number |
23K12810
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 09060:Special needs education-related
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| Research Institution | University of Tsukuba |
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Principal Investigator |
金 宣経 筑波大学, 図書館情報メディア系, 助教 (30936729)
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| Project Period (FY) |
2023-04-01 – 2026-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2025: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2024: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2023: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | engagement / attention / autism / robot / technology-mediated / distance learning |
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| Outline of Research at the Start |
This study aims to control autistic learners’ distraction in distance learning by detecting changes in eye movement, emotions, and behaviors of individual learners. The findings of this study will create easily re-engageable online learning environments by providing feasible feedback to each learner.
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| Outline of Annual Research Achievements |
This study aims to understand and control variations in the engagement of autistic learners, thereby maximizing the benefits of technology-mediated learning. Specifically, the research focuses on detecting changes in cognitive, emotional, and behavioral engagement, and identifying effective feedback to control distractions. The study is investigating methods to sustain autistic learners' engagement without necessitating parental or teacher intervention. Current findings indicate that learners' engagement improves when they explain the process of solving given questions to a robot. Participants exhibited fewer distracted behaviors and reported enjoyable experiences. Additionally, the study is examining appropriate robot behaviors during interactions for learners with special needs.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
This research is progressing smoothly according to the original plan. The first year focused on investigating efficient feedback methods for learners with autism spectrum disorders who are easily distracted. The second year will concentrate on understanding engagement fluctuations. In the third year, I plan to apply these findings to an AI-based virtual or physical robot in a home setting.
During the first year, two topics were explored: 1) interactions between a user and a robot, and 2) methods to reduce engagement fluctuations. These findings will serve as the foundation for the research conducted in the following year. I anticipate further detailed investigation into engagement fluctuations and human-robot interactions in the coming years.
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| Strategy for Future Research Activity |
The upcoming phase of this research will delve deeper into the comprehension and discovery of methods to decrease the occurrence of engagement fluctuations. The next study will examine this in a variety of situations, over different timelines, and with more participants. The aim is to gain a comprehensive understanding of these fluctuations, not only within a single session, but also over the long term.
Also, this study has explored the strategy of reducing distractions, specifically the concept of explaining to a robot. This method was examined from behavioral and cognitive perspectives. The next research in the coming years will also focus on scrutinizing emotional components. This will allow us to provide a more holistic approach to managing engagement levels in various scenarios.
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