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    題名: A Machine Learning Approach to Model HRI Research Trends in 2010~2021
    作者: 簡士鎰
    Chien, Shihyi
    Hsu, Chan;Tsao, Ching-Chih;Weng, Yu-Liang;Tang, Cheng-Yi;Chang, Yu-Wen;Kang, Yihuang
    貢獻者: 資管系
    日期: 2022-03
    上傳時間: 2022-10-07 13:44:23 (UTC+8)
    摘要: The present study collects a large amount of HRI-related research studies and analyzes the research trends from 2010 to 2021. Through the topic modeling technique, our developed ML model is able to retrieve the dominant research factors. The preliminary results reveal five important topics, handover, privacy, robot tutor, skin de deformation, and trust. Our results show the research in the HRI domain can be divided into two general directions, namely technical and human aspects regarding the use of robotic applications. At this point, we are increasing the research pool to collect more research studies and advance our ML model to strengthen the robustness of the results.
    關聯: HRI `22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, pp. 812-815
    資料類型: conference
    DOI: 10.5555/3523760.3523882
    顯示於類別:[資訊管理學系] 會議論文

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