Illusory Tactile Motion Perception: An Analog of the Visual Filehne Illusion

Moscatelli, Alessandro; Hayward, Vincent; Wexler, Mark; Ernst, Marc O.

doi:10.1038/srep14584

Cited by 26 publications

(34 citation statements)

References 31 publications

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“…With these parameters, statistical power of the GLMM would be above 80%. This sample size is in accordance with the one reported in similar studies in the literature [7,1,25].…”

Section: Power Analysissupporting

confidence: 91%

“…Alike in vision, where an observer is able to perceive the depth of a painting in absence of binocular cues, tactile system can encode and process surface motion also when the stimulus lacks one of the redundant motion cues. For instance, a moving pattern generated by a wave of vibrating pins provide a vivid sensation of a moving surface, even in absence of a net shear force [25,10]. On the other hand, the results of the current study showed that deformation cues alone provide sufficient information to discriminate surface speed.…”

Section: Discussionmentioning

confidence: 46%

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Discriminating tactile speed in absence of raised texture elements: Role of deformation and vibratory cues

Moscatelli

Ryan

Ciotti

et al. 2019

Preprint

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Motion encoding in touch relies on multiple cues, such as displacements of traceable texture elements, friction-induced vibrations, and gross fingertip deformations by shear force. We evaluated the role of deformation and vibration cues in tactile speed discrimination. To this end, we tested the discrimination of speed of a moving smooth glass plate, and compared the precision of the responses when the same task was performed with a plate having a fine texture. Participants performed the task with and without masking vibrations. Speed discrimination was nearly as precise among the two surface types, as assessed by the steep slope of the psychometric function. Consistent with our previous work, high-frequency vibrations impaired the ability of the participants in discriminating surface speed. Results of the current study showed that it is possible to discriminate motion speed even in absence of a raised texture. Highlights 1 • On a smooth surface, humans are able to discriminate the speed of a 2 moving surface by frictional motion cues 3 • The precision of speed discrimination is nearly the same with smooth 4 and fine-textured surface types 5 • High frequency vibrations impair the ability to discriminate speed of 6 moving surfaces 7 It provides feedback for the manipulation of handheld objects [2], and for 11 guiding hand reaching towards a target goal while touching a surface [3, 12 4]. During grasping tasks, our sensorimotor system rapidly adjusts the grip 13 force based on the small slips between the object and the skin, revealed as 14 vibrations [5]. 15Different cues contribute to the perception of motion in touch, includ-16 ing the spatiotemporal pattern of skin indentation, as for example the one 17 generated by the tip of a pencil moving across the skin, high-frequency vi-18 brations caused by frictional slips, and the gross deformation of the skin 19 and subcutaneous tissues, such as the stretch generated by a shear force 20 applied to the fingertip [6, 7, 8, 9, 10]. The role of the first two motion 21 cues, local indentation and vibrations, was investigated in several studies 22 [11, 12, 13, 14, 15, 16, 17, 18]. Here, we investigated the discrimination of 23 speed of a smooth movable surface (i.e., a glass plate for microscope slide). 24Because of the lack of fine and coarse texture, shear deformation cues may 25 play an important role for this type of stimuli. Before introducing our study, 26 we will summarize recent findings about different cues in tactile motion per-27 ception. 28The indentation produced by traceable surface elements, like raised ridges 29 of the tip of a pen, provide a salient motion cue in touch [6, 11, 13]. For 30 instance, the perceived speed of a ridged surface depends on the distance 31 between its ridges, such as the closer the texture elements, the faster is 32 the perceived speed [12, 19]. In accordance with behavioral studies, a model 33 based on the spatiotemporal pattern of skin deformation, as the one produced 34 by a coarse texture, accurately reproduced tactile affere...

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“…With these parameters, statistical power of the GLMM would be above 80%. This sample size is in accordance with the one reported in similar studies in the literature [7,1,25].…”

Section: Power Analysissupporting

confidence: 91%

Section: Discussionmentioning

confidence: 46%

Discriminating tactile speed in absence of raised texture elements: Role of deformation and vibratory cues

Moscatelli

Ryan

Ciotti

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…They accounted for the perceived slowing by appealing to the idea that hearing shares the same or a similar slow-motion prior to vision. This idea has been extended to account for a tactile version of the Filehne illusion ( Moscatelli, Hayward, Wexler, & Ernst, 2015 ). The fact that vision, audition, and touch produce similar perceptual errors suggests there may be a common underlying mechanism such as that described by the Bayesian framework.…”

Section: Discussionmentioning

confidence: 99%

Auditory compensation for head rotation is incomplete.

Freeman¹,

Culling²,

Akeroyd³

et al. 2017

Journal of Experimental Psychology: Human Perception and Perfor

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Hearing is confronted by a similar problem to vision when the observer moves. The image motion that is created remains ambiguous until the observer knows the velocity of eye and/or head. One way the visual system solves this problem is to use motor commands, proprioception, and vestibular information. These “extraretinal signals” compensate for self-movement, converting image motion into head-centered coordinates, although not always perfectly. We investigated whether the auditory system also transforms coordinates by examining the degree of compensation for head rotation when judging a moving sound. Real-time recordings of head motion were used to change the “movement gain” relating head movement to source movement across a loudspeaker array. We then determined psychophysically the gain that corresponded to a perceptually stationary source. Experiment 1 showed that the gain was small and positive for a wide range of trained head speeds. Hence, listeners perceived a stationary source as moving slightly opposite to the head rotation, in much the same way that observers see stationary visual objects move against a smooth pursuit eye movement. Experiment 2 showed the degree of compensation remained the same for sounds presented at different azimuths, although the precision of performance declined when the sound was eccentric. We discuss two possible explanations for incomplete compensation, one based on differences in the accuracy of signals encoding image motion and self-movement and one concerning statistical optimization that sacrifices accuracy for precision. We then consider the degree to which such explanations can be applied to auditory motion perception in moving listeners.

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“…Our brain fuses these signals to produce a unique and coherent representation of the hands position, contact orientation and motion. Accordingly, in [158] the authors showed that the perception of motion of a touched surface arises from the integration of tactile cues, proprioceptive cues, and prior assumptions on surface motion state.…”

Section: Hand Synergies: Sensingmentioning

confidence: 99%

Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands

Santello

Bianchi

Gabiccini

et al. 2016

Physics of Life Reviews

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160

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The term ‘synergy’ – from the Greek synergia – means ‘working together’. The concept of multiple elements working together towards a common goal has been extensively used in neuroscience to develop theoretical frameworks, experimental approaches, and analytical techniques to understand neural control of movement, and for applications for neuro-rehabilitation. In the past decade, roboticists have successfully applied the framework of synergies to create novel design and control concepts for artificial hands, i.e., robotic hands and prostheses. At the same time, robotic research on the sensorimotor integration underlying the control and sensing of artificial hands has inspired new research approaches in neuroscience, and has provided useful instruments for novel experiments. The ambitious goal of integrating expertise and research approaches in robotics and neuroscience to study the properties and applications of the concept of synergies is generating a number of multidisciplinary cooperative projects, among which the recently finished 4-year European project “The Hand Embodied” (THE). This paper reviews the main insights provided by this framework. Specifically, we provide an overview of neuroscientific bases of hand synergies and introduce how robotics has leveraged the insights from neuroscience for innovative design in hardware and controllers for biomedical engineering applications, including myoelectric hand prostheses, devices for haptics research, and wearable sensing of human hand kinematics. The review also emphasizes how this multidisciplinary collaboration has generated new ways to conceptualize a synergy-based approach for robotics, and provides guidelines and principles for analyzing human behavior and synthesizing artificial robotic systems based on a theory of synergies.

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Illusory Tactile Motion Perception: An Analog of the Visual Filehne Illusion

Cited by 26 publications

References 31 publications

Discriminating tactile speed in absence of raised texture elements: Role of deformation and vibratory cues

Discriminating tactile speed in absence of raised texture elements: Role of deformation and vibratory cues

Auditory compensation for head rotation is incomplete.

Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands

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