Shape from touch
|Astrid M.L. Kappers and Wouter M. Bergmann Tiest (2014), Scholarpedia, 9(1):7945.||doi:10.4249/scholarpedia.7945||revision #150491 [link to/cite this article]|
The shape of objects cannot only be recognized by vision, but also by touch. Vision has the advantage that shapes can be seen at a distance, but touch has the advantage that during exploration many additional object properties become available, such as temperature (Jones, 2009), texture (Bensmaia, 2009), and weight (Jones, 1986). Moreover, also the invisible backside of the objects can provide shape information (Newell et al., 2001). In active touch, both the cutaneous sense (input from skin receptors) and the kinesthetic sense (input from receptors located in muscles, tendons, and joints) play a role. For such active tactual perception, the term “haptic perception” is used (Loomis and Lederman, 1986). Typical exploratory movements to determine shape by touch are “enclosure” for global shape and size, and “contour following” for exact shape (Lederman and Klatzky, 1987; Klatzky and Reed, 2009). By means of touch, both three-dimensional and two-dimensional shapes can be recognized, although the latter is much harder.
Three-dimensional shape from touch
Humans are well able to recognize familiar objects by means of touch (Klatzky et al., 1985). In an extensive study, blindfolded students were asked to haptically identify as fast as possible objects such as a comb, a carrot, a tennis racket, a padlock, a knife, and many other daily life objects. Most objects were identified correctly (96%) and were recognized within 3 s. Thus, this study established that human performance with such objects is fast and accurate. Although these authors were the first to investigate response times and accuracy in great detail, a similar test was already in use for clinical studies of sensory function (e.g., Wynn Parry and Salter, 1976).
Other studies investigating shape from touch used better-defined stimuli than just objects from daily life. Gibson (1963) asked an artist to create a set of stimuli that were “equally different” from one another, were about hand-sized, were smooth and had a regular convex backside. He concluded that his participants were able to distinguish such objects by just haptic exploration. The same stimuli were used by Norman and colleagues (2012). They showed that visual and haptic shape discrimination performance is similar as long as manipulation of the stimuli was similar to that in daily life.
Roland and Mortensen (1987) were the first who used a set of parametrically defined stimuli, such as spheres, ellipsoids and rectangular blocks of different sizes. By keeping the surface properties and the weights constant (the spheres were hollow), shape and size were the only factors distinguishing the stimuli. They were interested in the way the objects were manipulated during a size or shape discrimination task and in discrimination performance. They described a model that could predict human performance in the size discrimination task, but the results for shape discrimination were not so good. Kappers and colleagues (1994) created a set a doubly curved surfaces such as convex and concave elliptic and hyperbolic paraboloids by means of a computer-controlled milling machine. They found that hyperbolic stimuli were somewhat harder to identify than elliptic stimuli. Moreover, if the curvature of the stimuli was more pronounced, identification performance improved.
More recently, Norman et al. (2004) made plastic copies of 12 bell peppers in order to have a set of “natural” stimuli. They compared discrimination and matching performance in several conditions: using just touch, using just vision, and using both touch and vision. Performance in all conditions was very similar, which led them to conclude that the 3D representations of shape in vision and in touch are functionally overlapping. Also Gaissert and Wallraven (2012) used natural stimuli, namely a set of seashells. They compared the visual and haptic perceptual spaces and found that these are nearly identical. They suggest that haptic and visual similarity perception are linked by the same cognitive processes.
Curvature from touch
Pont et al. (1997) did similar experiments with hand-sized stimuli (and much less curved stimuli) and they also came to a similar conclusion: the difference in local slopes between two stimuli of the same length determines curvature discrimination performance. They went a step further in proving this conclusion, by creating two new sets of stimuli that either contained only height differences (so no slope and no curvature information) or contained both height and slope differences (but no curvature information) (Pont et al., 1999). Stimuli with only height information were much harder to discriminate than those with also slope and curvature information, but the sets with or without curvature indeed led to similar thresholds as long as slope information was present. Wijntjes and colleagues (2009) used a device so that similar experiments could be run in active instead of passive touch and also their experiments showed that slope information was the determining factor for curvature discrimination. An overview of many of the curvature discrimination experiments can be found in Kappers (2011).
Influence of curvature on shape from touch
Influence of aftereffects on shape from touch
Touching a shape for only a few seconds influences the perceived curvature of the subsequently touched shape (Vogels et al., 1996): after touching a convex shape, a flat surface will be perceived as concave and a concave shape will be perceived as even more concave; a slightly convex shape will be perceived as flat. Although the built-up of this so-called aftereffect is quite fast (a few seconds and saturation after 10 to 15 s), the decay is quite slow: after a delay of 40 s before touching the next shape, an aftereffect can still be measured, even if participants stretch and bend their fingers during this delay (Vogels et al., 1997). Van der Horst et al. (2008a) showed that also the finger tips are sensitive to a curvature aftereffect. They also showed that this aftereffect partially transferred to other fingers, so after touching a curved surface with a finger, the curvature perceived by another finger is somewhat changed. Interestingly, if curved surfaces were explored dynamically, a full transfer to the other hand occurred (van der Horst et al., 2008b).
Uznadze (1966) let observers repeatedly grasp spheres of different sizes, but always the small one with one hand and the large one with the other hand. After a sequence of about 10 to 15 of such grasps, he presented both hands with identical spheres of intermediate size. He observed that this intermediate sphere felt small to the hand used to the large sphere and large to the other hand. Kappers and Bergmann Tiest (2013) repeated and confirmed this experiment in a more quantitative way. In a subsequent study (Kappers and Bergmann Tiest, Submitted), they varied the shape of the objects and showed that this size aftereffect is at least partly a shape aftereffect: only after testing with an object of similar shape (either a sphere or a tetrahedron), there occurs a large aftereffect.
Influence of blindness on shape from touch
Norman and Bartholomew (2011) used the plastic bell pepper stimuli also in a study comparing discrimination performance of congenitally, early and late blind observers and blindfolded sighted observers. As the early and late blind observers performed better than the blindfolded sighted observers, they suggested that early visual experience plays a role in haptic shape perception. Withagen et al. (2012) performed a haptic matching experiment in which participants had to find the best match to the standard from a set of three test items. They found that blind and blindfolded sighted participants were equally accurate. However, the response times were much higher for the blindfolded sighted (adult) observers as compared to the blind observers if they had to match the exact shape of the stimuli.
Hunter (1954) measured how well blind and sighted participants could classify straight, concave and convex shapes. He found that both groups of participants had the tendency to judge a convex shape as straight, but this was more pronounced in the sighted group. Davidson (1972) also compared the performance of blind and blindfolded sighted participants in distinguishing whether a curved shape was convex, straight or concave. In his first experiment, he found that the blind performed better than the sighted. However, he also noticed that the blind used different strategies than the sighted. In his second experiment, he instructed the blindfolded sighted participants to use the strategies of the blind and then their performance improved.
Influence of age on shape from touch
Norman et al. (2013) showed that depending on the exact task, shape discrimination might or might not depend on age. In a curvature discrimination task, participants were required to explore the stimuli by using either static touch or dynamic touch. The “young” participant group consisted of individuals aged between 20 and 29 years, the “old” group participants were between 66 and 85 years. As long as the participants were allowed to use dynamic touch, there was no difference in discrimination performance between the two age groups. However, when using static touch, performance of the old group was significantly worse than that of the young group. This suggests that the cutaneous system is more sensitive to degradation with age than the kinesthetic system. Withagen et al. (2012) showed that in a haptic shape matching task, adults performed significantly better than children (mean age 9.3 years). However, sighted adults were much slower than sighted and blind children, indicating a possible speed-accuracy trade-off; blind adults were as fast as both groups of children.
Influence of shape on size perception
The shape of an object might influence its perceived size. In vision, there exists the well- known elongation bias: of two cylindrical objects with the same volume (i.e. size), the higher one is perceived as being the larger (e.g., Piaget, 1968). Krishna (2006) investigated whether a similar bias could also be observed in touch and in bimodal conditions (both vision and touch). She found that as long as vision was present (either vision alone or in combination with touch) indeed this elongation bias was found. However, if only touch was used to judge the size of the cylinders, the bias reversed: the wider of the two objects of a pair was perceived as being the larger. She suggested that in grasping a glass without looking, the diameter and thus the width of the glass is a much more salient feature than the height of the glass. In contrast, when looking at a glass, the height is more prominent.
Two-dimensional shape from touch
An overview of studies investigating the ease or difficulty of recognizing raised line drawings by touch is given by Picard and Lebaz (2012). More details about picture recognition performance of blind individuals can be found in Heller and Ballesteros (2012).
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