Paper Info
Title
Texture Recognition For Users With Color Vision Deficiencies
Abstract
In this study, we designed a new type of primary color recognition assistive system for this user group, adding (1) directly perceived labels (the label group), (2) shape and color related dots (the dot group), or (3) distinctive vein lines (the vein group) to help with the recognition of primary colors red, green, and blue. Verification and evaluation were done for each part of the results, in order to describe the accuracy and feasibility of each system. The study has been divided into two phases. The first phase is the preliminary experiment, in which the label group investigates and verifies the objects that represent each of the primary colors and transforms into representative labels. The second phase employs the results of the preliminary experiment from the three groups onto colored cards, forming experiment group through color vision deficiency simulators, then issue out questionnaires of performance evaluation and subjective preferences for each group. Experiment results show that regardless of group, there was significant help in color recognition, decreasing the recognition error rate and task completion time. In terms of subjective questionnaires, participants believe that the difficulty level of primary color recognition evidently decreased, with an average preference of 6 and above.
Year
DOI
Venue
2015
10.1007/978-3-319-20681-3_26
UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: ACCESS TO INTERACTION, PT II
Keywords
Field
DocType
Color vision, Color vision deficiency, Texture composition
Computer vision,Colored,Color vision deficiencies,Computer science,Word error rate,Color recognition,Artificial intelligence,Texture recognition,Task completion,Color vision,Primary color
Conference
Volume
ISSN
Citations 
9176
0302-9743
1
PageRank 
References 
Authors
0.41
0
3
Name
Order
Citations
PageRank
Fong-Gong Wu121.79
Erica Huang210.41
Chao-Yuan Tseng311.09