Barcode Readers using the Camera Device in Mobile Phones
CW '04 Proceedings of the 2004 International Conference on Cyberworlds
ARTag, a Fiducial Marker System Using Digital Techniques
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Interacting with mobile services: an evaluation of camera-phones and visual tags
Personal and Ubiquitous Computing
HOTMOBILE '07 Proceedings of the Eighth IEEE Workshop on Mobile Computing Systems and Applications
A camera-based mobile data channel: capacity and analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A Novel 2D Marker Design and Application for Object Tracking and Event Detection
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
A Usability Evaluation of Public Icon Interface
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
ColoriT: color based image code application to aid in memory restoration of offline photo artifacts
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Imaged based codes performance comparison for mobile environments
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Designing and Evaluating Mobile Interaction: Challenges and Trends
Foundations and Trends in Human-Computer Interaction
From codes to patterns: designing interactive decoration for tableware
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Recently, image code interfaces and designed image codes, which can present visual information such as shapes, colors, text, images, and textures within the image code, have attracted increasing interest for use in mobile computing environments. In this paper, we introduce designed image codes and their basic decoding techniques; furthermore, we compare and analyze user preferences by performing a user study. We also implement a high-fidelity prototype of an image code interface based on a mobile computing environment and evaluate its usability by performing a user evaluation. From the evaluation, it is observed that the participants prefer a color-based image code, and this image code has a better merit rating.