2023 Fiscal Year Annual Research Report
World in your hand: Investigating the underlying mechanism of thermal material recognition and its interaction with multisensory information
Project/Area Number |
22H03679
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Allocation Type | Single-year Grants |
Research Institution | Kyushu University |
Principal Investigator |
Ho HsinNi 九州大学, 芸術工学研究院, 准教授 (60466406)
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Co-Investigator(Kenkyū-buntansha) |
佐藤 克成 奈良女子大学, 工学系, 准教授 (00708381)
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Project Period (FY) |
2022-04-01 – 2027-03-31
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Keywords | Shitsukan recognition / Thermal perception / Haptics / Material perception / Multisensory interaction |
Outline of Annual Research Achievements |
This year our research focued on (1) thermal analysis of artificial fingers for recording thermal transients during hand-object interactions, (2) material perception based on thermal cues, and (3) the temporal integration of thermal and tactile cues.
Based on our fingings, we (1) identified candidate materials for the artificial finger, (2) proposed a model for the relationship between physical thermal properties and the mental representation of material categories, and (3) determined the temporal window for integrating thermal and tactile information.
Our findings have been accepted by prestigious World Haptics 2023 and Eurohaptics 2024, and has submitted to the journal IEEE Transactions on Haptics. Our research has the potential to inform the engineering design of haptic technologies.
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Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
Our research has progressed more smoothly than initially planned. Originally, we intended to conduct human experiments on thermal material recognition this year. In the end, we not only completed the planned experiments but also investigated the temporal multisensory interactions. More importantly, we were able to present our findings at an international conference.
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Strategy for Future Research Activity |
In FY2024, we will advance our research on thermal analysis of hand-object interactions by developing an artificial finger based on our FY2023 findings. We will collect thermal transient data to support a machine-learning model for thermal displays and an automatic material classification system for robotic hands. Additionally, we will enhance our thermal display technology to simulate various materials under different thermal conditions, further examining the impact on material category judgments. Our findings will be presented at Eurohaptics 2024, and we aim to publish our research, contributing to the broader scientific discourse on haptic technology.
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