Identifying objects from a haptic glance

Subjects identified common objects under conditions of a “haptic glance,” a brief haptic exposure that placed severe spatial and temporal constraints on stimulus processing. They received no advance cue, a superordinate-level name as cue, or a superordinate and basic-level name as cue. The objects varied in size relative to the fingertip and in the most diagnostic attribute, either texture or shape. The data suggest that object recognition can occur when global volumetric primitives cannot directly be extracted. Even with no cue, confusion errors resembled the target object and indicated extraction of material and local shape information, which was sufficient to provide accuracy above 20%. Performance improved with cuing, and the effect of exposure duration was observed primarily with minimal cuing, indicating compensatory effects of top-down processing.

[1]  Eleanor Rosch,et al.  Principles of Categorization , 1978 .

[2]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[3]  James L. McClelland,et al.  An interactive activation model of context effects in letter perception: I. An account of basic findings. , 1981 .

[4]  B. Tversky,et al.  Objects, parts, and categories. , 1984 .

[5]  I. Biederman Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[6]  R. Klatzky,et al.  Hand movements: A window into haptic object recognition , 1987, Cognitive Psychology.

[7]  I. Biederman,et al.  Surface versus edge-based determinants of visual recognition , 1988, Cognitive Psychology.

[8]  Michael T. Turvey,et al.  Perceiving extents of rods by wielding: haptic diagonalization and decomposition of the inertia tensor. , 1989 .

[9]  Susan J. Lederman,et al.  Haptic integration of object properties: texture, hardness, and planar contour. , 1989 .

[10]  R. Klatzky,et al.  Haptic classification of common objects: Knowledge-driven exploration , 1990, Cognitive Psychology.

[11]  I. Biederman,et al.  Evidence for Complete Translational and Reflectional Invariance in Visual Object Priming , 1991, Perception.

[12]  Susan J. Lederman,et al.  Q’Hand: A fully automated apparatus for studying haptic processing of spatially distributed inputs , 1991 .

[13]  I. Biederman,et al.  Size invariance in visual object priming , 1992 .

[14]  I. Biederman,et al.  Dynamic binding in a neural network for shape recognition. , 1992, Psychological review.

[15]  R. Klatzky,et al.  Stages of manual exploration in haptic object identification , 1992, Perception & psychophysics.

[16]  R. Klatzky,et al.  Toward a Computational Model of Constraint-Driven Exploration and Haptic Object Identification , 1993, Perception.

[17]  R. Klatzky,et al.  Haptic identification of objects and their depictions , 1993, Perception & psychophysics.

[18]  Susan J. Lederman,et al.  Extracting object properties through haptic exploration. , 1993, Acta psychologica.

[19]  R. Klatzky,et al.  Constraints on Haptic Integration of Spatially Shared Object Dimensions , 1993, Perception.

[20]  G. Legge,et al.  Color improves object recognition in normal and low vision , 1993 .

[21]  J. Koenderink,et al.  Haptic identification of curved surfaces , 1994, Perception & psychophysics.

[22]  Susan J. Lederman,et al.  Haptic object processing I: Early perceptual features , 1996 .