著者

福岡 正彬

出版者

日本基礎心理学会

雑誌

基礎心理学研究 (ISSN:02877651)

巻号頁・発行日

vol.40, no.1, pp.27-31, 2021-09-30 (Released:2021-12-14)

参考文献数

16

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In robotics, developments are in progress to enhance the physical and cognitive capabilities of humans by technologically extending the human body. The method of mapping the degrees of freedom of the operator’s arms and legs to the operating commands has been developed to control an extended body such as a wearable robot arm. On the other hand, the method has the limitation that the freedom of the operator’s limbs is constricted. Because the movements of the limbs are mapped to the actions of the wearable robot arm. In this article, a research project is introduced that uses virtual reality, wearable sensing technology, and machine learning to map human head movements and facial expressions to control an extended body that can be independent of the actions of human limbs.

著者

中村 文彦 Adrien Verhulst 櫻田 国治 福岡 正彬 杉本 麻樹

出版者

特定非営利活動法人 日本バーチャルリアリティ学会

雑誌

日本バーチャルリアリティ学会論文誌 (ISSN:1344011X)

巻号頁・発行日

vol.26, no.4, pp.298-309, 2021-12-24 (Released:2021-12-24)

参考文献数

19

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In this paper, we propose Virtual Whiskers, a spatial directional guidance technique by stimulating a cheek using tiny robot arms attached to a Head-Mounted Display (HMD). We performed a directional guidance experiment to evaluate how accurately our method provide the target direction. The result shows our method achieves the average absolute directional error of 2.76 degrees in the azimuthal plane and 7.32 degrees in the elevation plane. We also investigated how effective the cheek stimulation is in a target search task. The average of task completion time in visual condition was M=12.45s, and visual+haptic condition resulted in M=6.91s. Statistical test revealed a significant difference between visual condition and visual+haptic condition.

著者

武智 通 中村 文彦 福岡 正彬 杉本 麻樹

出版者

特定非営利活動法人 日本バーチャルリアリティ学会

雑誌

日本バーチャルリアリティ学会論文誌 (ISSN:1344011X)

巻号頁・発行日

vol.28, no.3, pp.243-254, 2023-09-30 (Released:2023-09-30)

参考文献数

23

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This study investigates sense of agency (SoA) and sense of body ownership (SoBO) according to the automation level involving target setting, user’s input, and trajectory modification of a robotic arm by machine intelligence. We defined five automation level in a pick-and-place task using a robotic arm and set the control weight of the participants. Also,we implemented the collaborative and obstructive conditions. We compared the SoA and SoBO under different automation level through two experiments. The result showed that SoA and SoBO increased by increase of participant control weight. Moreover,we found that increasing the automation level decreased SoA and SoBO.