Hajnal Alen, Clark Joseph D, Doyon Jonathan K, Kelty-Stephen Damian G
Department of Psychology.
Department of Psychology, Grinnell College.
J Exp Psychol Hum Percept Perform. 2018 Jun;44(6):836-841. doi: 10.1037/xhp0000510.
We recorded head motion with one wireless marker attached to the back of the head during quiet stance as participants visually inspected a sloped ramp in order to perceive whether they might be able to stand on the surface. Participants responded with "yes" or "no" without attempting to stand on the ramp. As has been found in dynamic touch (Palatinus, Kelty-Stephen, Kinsella-Shaw, Carello, & Turvey, 2014), we hypothesized that multiscale fluctuation patterns in bodily movement during visual observation would predict perceptual judgments. Mixed-effects logistic regression predicted binary affordance judgments as a function of geographical slant angle, head-motion standard deviation, and multifractal spectrum width (Ihlen, 2012). Multifractal spectrum width was the strongest predictor of affordance judgments. Specifically, increased spectrum width predicted decreased odds of a "yes" answer. Interestingly, standard deviation was not a significant predictor, reinforcing our prediction that traditional measures of variability fail to account for what fractal measures of multiscale interactions can predict about information pickup in perception-action systems. (PsycINFO Database Record
在安静站立期间，我们在参与者目视检查一个倾斜坡道以判断自己是否能够站在该表面上时，用一个附着在其头部后方的无线标记记录头部运动。参与者回答“是”或“否”，而不尝试站在坡道上。正如在动态触觉研究中发现的那样（帕拉蒂努斯、凯尔蒂 - 斯蒂芬、金塞拉 - 肖、卡雷洛和特维，2014年），我们假设在视觉观察期间身体运动中的多尺度波动模式将预测感知判断。混合效应逻辑回归将二元可供性判断预测为地理倾斜角度、头部运动标准差和多重分形谱宽度的函数（伊伦，2012年）。多重分形谱宽度是可供性判断的最强预测因子。具体而言，谱宽度增加预示着回答“是”的可能性降低。有趣的是，标准差不是一个显著的预测因子，这强化了我们的预测，即传统的变异性测量方法无法解释多尺度相互作用的分形测量方法对于感知 - 行动系统中信息获取的预测能力。（《心理学文摘数据库记录》
