scispace - formally typeset
R

Roberta L. Klatzky

Researcher at Carnegie Mellon University

Publications -  342
Citations -  20285

Roberta L. Klatzky is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Haptic technology & Haptic perception. The author has an hindex of 72, co-authored 333 publications receiving 18947 citations. Previous affiliations of Roberta L. Klatzky include University of California, Santa Barbara & Northwestern University.

Papers
More filters
Journal ArticleDOI

Hand movements: a window into haptic object recognition.

TL;DR: Two experiments establish links between desired knowledge about objects and hand movements during haptic object exploration, and establish that in free exploration, a procedure is generally used to acquire information about an object property, not because it is merely sufficient, butBecause it is optimal or even necessary.
Journal ArticleDOI

Haptic perception: a tutorial.

TL;DR: This tutorial focuses on the sense of touch within the context of a fully active human observer and describes an extensive body of research on “what” and “where” channels, the former dealing with haptic perception of objects, surfaces, and their properties, and the latter with perception of spatial layout on the skin and in external space relative to the perceiver.
Journal ArticleDOI

Nonvisual navigation by blind and sighted: assessment of path integration ability

TL;DR: Results provide little indication that spatial competence strongly depends on prior visual experience, and do not support the hypothesis that only a representation of the origin of locomotion is maintained.
Book ChapterDOI

Allocentric and Egocentric Spatial Representations: Definitions, Distinctions, and Interconnections

TL;DR: The chapter addresses what representations humans may use for processing spatial information during physical and imagined movement, and work on imagined updating of spatial position is used to constrain the connectivity among representations.
Journal ArticleDOI

Identifying objects by touch: an "expert system".

TL;DR: The present study provides a baseline measure of recognition under those circumstances, and it indicates that haptic object recognition can be both rapid and accurate.