Reliability of tactile perception and suppression measurements.

IF 2.4 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS
Dimitris Voudouris, Petros Georgiadis, Katja Fiehler, Belkis Ezgi Arikan
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引用次数: 0

Abstract

Tactile signals arising on one's own body allow estimation of one's sensory state and foster interactions with the environment. However, tactile perception can be influenced by various factors. For instance, tactile perception is suppressed on a moving limb compared to when it is resting, a phenomenon termed tactile suppression. Here, we examine whether tactile perception during resting and during movement is robust over shorter and longer time intervals. Participants had to detect tactile stimuli of various intensities on their index finger while this finger was resting or moving (finger extension). This detection task was performed in four sessions on separate days across a period of one month. We found that tactile perception during resting is robust within single sessions and across days. However, tactile perception during movement changed across days, but these changes lacked a clear systematic pattern. We further show that temporal changes in perception alone cannot fully account for the previously reported tactile suppression effects. Finally, split-half correlations reveal high consistency in the estimated perceptual measures, demonstrating that estimates of tactile perception are robust across measurement points.

触觉感知和抑制测量的可靠性。
在一个人的身体上产生的触觉信号允许估计一个人的感官状态,并促进与环境的互动。然而,触觉感知会受到各种因素的影响。例如,与肢体静止时相比,肢体运动时的触觉感知受到抑制,这种现象被称为触觉抑制。在这里,我们研究了在休息和运动期间的触觉感知是否在较短和较长的时间间隔内是稳健的。参与者必须在他们的食指休息或移动(手指伸展)时检测到不同强度的触觉刺激。这个检测任务在一个月的时间里,在不同的日子里分四次进行。我们发现,休息时的触觉感知在单次和几天内都很强健。然而,运动过程中的触觉感知随着时间的推移而变化,但这些变化缺乏明确的系统模式。我们进一步表明,感知的时间变化不能完全解释先前报道的触觉抑制效应。最后,分裂-一半相关性揭示了估计的知觉测量的高度一致性,表明触觉感知的估计在测量点上是稳健的。
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来源期刊
IEEE Transactions on Haptics
IEEE Transactions on Haptics COMPUTER SCIENCE, CYBERNETICS-
CiteScore
5.90
自引率
13.80%
发文量
109
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.
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