Home /Research /A Machine Learning Approach to Model HRI Research Trends in 2010~2021
OTHER

A Machine Learning Approach to Model HRI Research Trends in 2010~2021

Chan Hsu, Ching-Chih Tsao, Yu-Liang Weng, Cheng-Yi Tang, Yu-Wen Chang, Yihuang Kang, Shih‐Yi Chien

Year
2022
Citations
7

Abstract

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.

Keywords

Computer scienceRobustness (evolution)Artificial intelligenceHuman–computer interactionDomain (mathematical analysis)RobotMachine learningPoint (geometry)TUTORData science

Related papers

Browse all OTHER papers