| Budget Amount *help |
¥16,640,000 (Direct Cost: ¥12,800,000、Indirect Cost: ¥3,840,000)
Fiscal Year 2021: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2020: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2019: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2018: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
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| Outline of Final Research Achievements |
Human computation is an approach that combines the abilities of both computers and humans to solve problems that are difficult to achieve sufficient performance with computers alone and require human recognition and judgment, by considering humans as part of the computational resources. In this study, by introducing state-of-the-art machine learning techniques such as deep learning on the computer side, we have improved the performance of human computation. Furthermore, in human computation, where humans are involved, the black box nature of machine learning is a limitation, so we worked to improve its explanatory and interpretability.
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