The contributions of skin stretch and kinesthetic information to static weight perception

F. E. V. Beek, Raymond J. King, Casey Brown, Massimiliano Di Luca
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Abstract

In this study, we examined the contributions of kinesthetic and skin stretch cues, in isolation and together, to the static perception of weight. In two psychophysical experiments, we asked participants either to detect on which hand a weight was presented or to compare between two weight cues. Two closed-loop controlled haptic devices were used to present weights with a precision of 0.05g to an end-effector held in a pinch grasp. Our results show that combining skin stretch and kinesthetic information leads to better weight detection thresholds than presenting uni-sensory cues does. For supra-threshold stimuli, Weber fractions ranged from 22-44%. Kinesthetic information was less reliable for lighter weights, while both sources of information were equally reliable for weights up to 300g. Our data for lighter weights complied with an Optimal Integration model, while for heavier weights, measurements were closer to predictions from a Sensory Capture model. The difference might be accounted for by the presence of correlated noise across the two cues with heavier weights, which would affect model predictions such that all our data could be explained through an Optimal Integration model. Our experiments provide device-independent measures that can be used to inform, for instance, skin stretch device design.
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皮肤拉伸和动觉信息对静态体重感知的贡献
在这项研究中,我们检查了动觉和皮肤拉伸线索对静态体重感知的贡献,无论是单独的还是共同的。在两个心理物理实验中,我们要求参与者要么检测哪只手出现了体重,要么比较两个体重线索。使用两个闭环控制的触觉装置将重量以0.05g的精度呈现给捏握的末端执行器。我们的研究结果表明,结合皮肤拉伸和动觉信息比呈现单一感觉线索能产生更好的体重检测阈值。对于超阈刺激,韦伯分数在22-44%之间。对于体重较轻的人来说,动觉信息的可靠性较低,而对于体重超过300克的人来说,这两种信息来源的可靠性是一样的。对于较轻的重量,我们的数据符合最佳集成模型,而对于较重的重量,测量结果更接近感官捕获模型的预测。这种差异可能是由于两个权重较大的线索之间存在相关噪声,这将影响模型预测,因此我们的所有数据都可以通过最优集成模型来解释。我们的实验提供了与设备无关的测量方法,可用于告知,例如,皮肤拉伸设备设计。
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