人与机器人互动的最新进展:机器人恐惧症还是协同效应

IF 5.9 2区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent Manufacturing Pub Date : 2024-04-09 DOI:10.1007/s10845-024-02362-x
Andrius Dzedzickis, Gediminas Vaičiūnas, Karolina Lapkauskaitė, Darius Viržonis, Vytautas Bučinskas
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摘要

机器人与人类之间关系的最新发展和对社会的普遍渗透产生了多种感受、观点和反应。这种情况要求我们对这一领域进行分析;大量事实表明,情况与公众舆论不同。本文对人机交互(HRI)这一广泛领域进行了详细分析。它从人类情感、技术手段、人类反应预测和一般合作-协作领域对 HRI 进行了独创性的分类。分析采用了参考结果分类和推理的方法,将其分为不同的组别,并在不同的表格中提供。最后,在分析结束时,对情况进行了总体描述,并概述了要点和总体趋势。本文的结论是,在人机合作的初始阶段,人力资源创新仍然缺乏方法和培训技术。此外,本文还分析了人机交互的工具,并推断出主要瓶颈仍在了解过程中,缺乏直观的界面和人机交互规则的制定,这也是未来工作的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Recent advances in human–robot interaction: robophobia or synergy

Recent developments and general penetration of society by relations between robots and human beings generate multiple feelings, opinions, and reactions. Such a situation develops a request to analyze this area; multiple references to facts indicate that the situation differs from public opinion. This paper provides a detailed analysis performed on the wide area of human–robot interaction (HRI). It delivers an original classification of HRI with respect to human emotion, technical means, human reaction prediction, and the general cooperation-collaboration field. Analysis was executed using reference outcome sorting and reasoning into separate groups, provided in separate tables. Finally, the analysis is finished by developing a big picture of the situation with strong points and general tendencies outlined. The paper concludes that HRI still lacks methodology and training techniques for the initial stage of human–robot cooperation. Also, in the paper, instrumentation for HRI is analyzed, and it is inferred that the main bottlenecks remain in the process of being understood, lacking an intuitive interface and HRI rules formulation, which are suggested for future work.

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来源期刊
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing 工程技术-工程:制造
CiteScore
19.30
自引率
9.60%
发文量
171
审稿时长
5.2 months
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
期刊最新文献
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