English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A similarity-based approach to perceptual feature validation

Cooke, T., Steinke, F., Wallraven, C., & Bülthoff, H. (2005). A similarity-based approach to perceptual feature validation. In H. Bülthoff, & T. Troscianko (Eds.), APGV '05: 2nd Symposium on Applied Perception in Graphics and Visualization (pp. 59-66). New York, NY, USA: ACM Press.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D4AD-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-463A-C
Genre: Conference Paper

Files

show Files
hide Files
:
pdf3473.pdf (Any fulltext), 2MB
Name:
pdf3473.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
https://dl.acm.org/citation.cfm?id=1080413 (Publisher version)
Description:
-

Creators

show
hide
 Creators:
Cooke, T1, 2, Author              
Steinke, F2, 3, Author              
Wallraven, C1, 2, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

Content

show
hide
Free keywords: -
 Abstract: Which object properties matter most in human perception may well vary according to sensory modality, an important consideration for the design of multimodal interfaces. In this study, we present a similarity-based method for comparing the perceptual importance of object properties across modalities and show how it can also be used to perceptually validate computational measures of object properties. Similarity measures for a set of three-dimensional (3D) objects varying in shape and texture were gathered from humans in two modalities (vision and touch) and derived from a set of standard 2D and 3D computational measures (image and mesh subtraction, object perimeter, curvature, Gabor jet filter responses, and the Visual Difference Predictor (VDP)). Multidimensional scaling (MDS) was then performed on the similarity data to recover configurations of the stimuli in 2D perceptual/computational spaces. These two dimensions corresponded to the two dimensions of variation in the stimulus set: shape and texture. In the human visual space, shape strongly dominated texture. In the human haptic space, shape and texture were weighted roughly equally. Weights varied considerably across subjects in the haptic experiment, indicating that different strategies were used. Maps derived from shape-dominated computational measures provided good fits to the human visual map. No single computational measure provided a satisfactory fit to the map derived from mean human haptic data, though good fits were found for individual subjects; a combination of measures with individually-adjusted weights may be required to model the human haptic similarity judgments. Our method provides a high-level approach to perceptual validation, which can be applied in both unimodal and multimodal interface design.

Details

show
hide
Language(s):
 Dates: 2005-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1145/1080402.1080413
BibTex Citekey: 3473
 Degree: -

Event

show
hide
Title: 2nd Symposium on Applied Perception in Graphics and Visualization (APGV 2005)
Place of Event: A Coroña, Spain
Start-/End Date: 2005-08-26 - 2005-08-28

Legal Case

show

Project information

show

Source 1

show
hide
Title: APGV '05: 2nd Symposium on Applied Perception in Graphics and Visualization
Source Genre: Proceedings
 Creator(s):
Bülthoff, HH1, Editor            
Troscianko, T, Editor
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794            
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 59 - 66 Identifier: ISBN: 1-59593-139-2