English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Book Chapter

Design and Evaluation of Haptic Soft Tissue Interaction

MPS-Authors
/persons/resource/persons83865

Cooke,  T
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83906

Ernst,  MO
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group Multisensory Perception and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Harders, M., Leskovsky, P., Cooke, T., Ernst, M., & Szekely, G. (2008). Design and Evaluation of Haptic Soft Tissue Interaction. In A. Bicchi, M. Buss, M. Ernst, & A. Peer (Eds.), The Sense of Touch and its Rendering: Progresses in Haptics Research (pp. 225-244). Berlin, Germany: Springer.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-C7D7-9
Abstract
This chapter examines the application of a psychophysical evaluation technique to quantify the fidelity of haptic rendering methods. The technique is based on multidimensional scaling analysis of similarity ratings provided by users comparing pairs of haptically-presented objects. Unbeknownst to the participants, both real and virtual deformable objects were presented. In addition, virtual objects were either rendered under high fidelity condition or under lower-fidelity condition in which filtering quality was reduced. The analysis of pairwise similarity data provides quantitative confirmation that users perceived a clear difference between real and virtual objects in the lower-fidelity, but not in the higher-fidelity condition. In the latter, a single perceptual dimension, corresponding to stiffness, sufficed to explain similarity data, while two perceptual dimensions were needed in the former condition. This demonstrates how multidimensional scaling analysis can be used in the evaluation of haptic renderin
g scenarios, providing perceptual maps of real and virtual objects. It offers an opportunity to visualize and quantify the perceptual effects of changes in rendering parameters.