神经科学对评估人机协作的贡献:一种多维方法

IF 0.7 Q4 PSYCHOLOGY Neuropsychological Trends Pub Date : 2024-04-01 DOI:10.7358/neur-2024-035-cimi
Flavia Ciminaghi
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引用次数: 0

摘要

协作机器人(cobots)是最近在工业领域推出的一种机器人,旨在与人类共同完成任务,为人类提供身体和认知支持。因此,人们对影响人机协作(HRC)的因素的研究兴趣与日俱增,希望能让协作机器人对人类的心理生理状态做出更灵敏的反应。一些研究已经开始利用行为学和神经生理学指标来调查与机器人互动的个体的心理工作量和压力等维度,从而在神经科学和机器人学领域实现了卓有成效的融合。因此,本文讨论了多学科、多维度方法在研究人机交互的实用性。介绍了相关的生理、神经生理学、行为学和主观测量方法,以及将这些方法整合到人机交互研究中的必要性。此外,还介绍了在人与生物圈研究中考虑认知和情感功能方面的个体差异以及与个体表征和人际环境有关的因素的重要性。
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The contribution of neuroscience in evaluating human-robot collaboration: a multidimensional approach
Collaborative robots (cobots) are a recent introduction in the industrial sector and are designed to work on shared tasks with humans with the aim to provide physical and cognitive support. This has led to a growing interest in the study of factors affecting human-robot collaboration (HRC) with the idea of making cobots more responsive to the human psychophysiological state. Several studies have begun to investigate dimensions such as mental workload and stress of the individual interacting with a cobot using behavioural and neurophysiological metrics, leading to a fruitful convergence between the worlds of neuroscience and robotics. It is therefore discussed the utility of a multidisciplinary and multidimensional approach in the study of HRC. Relevant physiological, neurophysiological, behavioural, and subjective measures are presented, as well as the necessity of their integration in HRC research. It is also introduced the importance of considering in HRC individual differences in terms of cognitive and emotional functioning, and factors related to individual representations and interpersonal environment.
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CiteScore
1.10
自引率
0.00%
发文量
10
审稿时长
12 weeks
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