| 研究実績の概要 |
For object handover experiments, which is one of human-human collaboration tasks, we increased the variation of the test subjects and verified our hypothesis, which was observed last year, that humans can predict the partner's handover behavior and there are some important variables including physical and social features of the pairs, which effect human motion modification. A paper was submitted to the journal, PLOS ONE (https://journals.plos.org/plosone/), based on the extended experiments and is the final stage of reviewing. In addition to human-human tasks, we conducted human-robot experiments for object handover to investigate how humans predict partner’s behavior when the partner is a robot. The tendency of prediction was slightly different with the human-human scene.
For understanding human-robot collaboration in co-worker scenario, we also conducted human-human experiments in which subjects’ arms cross each other. Based on the preliminary experiments and the results obtained by the handover investigation, which is that human perception becomes slightly different with a robot partner, we redesigned experimental setup of simple human-robot collaboration and conducted experiments with several test subjects. We are now analyzing the data for defining evaluation functions related to human emotion in co-working situation.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The data analysis for defining peri-limb space, which was the target for FY2018, is still ongoing, but we were able to submit a journal paper related to handover experiments. Moreover, we adopted a new idea for the evaluation functions of human emotion, which would be an additional result to the peri-limb space. The project seems to be going well.
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| 今後の研究の推進方策 |
As we submitted for FY2019 research plan, we will continue the experiments of human-robot collaboration for defining evaluation functions related to human emotion in co-working situation. Based on such definitions and additional human-robot collaboration experiments, we will then model the peri-limb space, which is our project goal.
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