利用社会网络分析工具生成人类触觉交互的研究关键词结构

Joobong Song, J. Lim, Sanghyun Kwon, Ilsun Rhiu, Byungki Jin, S. Bahn, M. Yun
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引用次数: 1

摘要

触觉交互领域本质上是多学科的,它采用了许多领域的知识,包括机器人、实验心理学、生物学、计算机科学、系统和控制等。回顾触觉相关研究的整体领域,以及回顾特定的重点领域,是研究的重要的第一步。为此,在对该领域的研究趋势进行清晰而具有启发性的分析的基础上,确保客观的研究方向是非常重要的。本研究的目的是利用网络分析技术来确定触觉相关研究的各个领域之间的关系。我们从多家期刊中收集了触觉相关研究的关键词,并以此为输入进行网络分析。然后,通过分析关键词之间的关系,对触觉研究领域进行分类。通过网络分析,我们发现触觉相关研究可以分为两个方面;(1)与触觉技术应用相关的技术视角;(2)与触觉感知相关的用户视角。本研究生成的关键词结构有望为了解人类触觉交互的研究趋势和现状提供基础知识。
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Generating a research keyword structure on human haptic interaction using a social network analysis tool
The field of haptic interaction is inherently multidisciplinary and adopts knowledge from many areas, including robotics, experimental psychology, biology, computer science, systems and control, and others. It is an important first step in research reviewing overall areas of hap-tic related researches, as well as reviewing the specific area of focus. For this purpose, it is important to ensure objective research direction based on the clear and enlightening analysis of the research trends in this field. This study aims to identify the relationship among overall areas of haptic related researches using a network analysis technique. We collected keywords of haptic related researches from several journals and used those as an input for conducting network analysis. Then, we also classified the areas of haptic researches by analyzing the relationship among keywords. From the network analysis, we found that haptic related researches could be classified into two areas; (1) Technology perspectives related to the application of haptic technology and (2) User perspectives related to the perception of haptic sensation. The keyword structure generated from this study is expected to provide basic knowledge on the trend and current status of researches in human haptic inter-action.
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