The Effects of Contrast and Density on Visual Web Search

This study evaluated the effects of white space on visual search time. Participants were required to search for a target word on a web page with different levels of white space, measured by level of text density. Screens were formatted with one of four types of graphical manipulation, including: no graphics, contrast, borders and contrast with borders under two levels of overall density and three levels of local density. Results show that search times were longer with increased overall density but significant differences were not found between levels of local density. Only the use of contrast was found to be significant, resulting in an increase in search time.

Weller, Donnelle. Usability News (2004). Design>Web Design>Visual Rhetoric>Search

An Analysis of Failed Queries for Web Image Retrieval    

This paper examines a large number of failed queries submitted to a web image search engine, including real users' search terms and written requests. The results show that failed image queries have a much higher specificity than successful queries because users often employ various refined types to specify their queries. The study explores the refined types further, and finds that failed queries consist of far more conceptual than perceptual refined types. The widely used content-based image retrieval technique, CBIR, can only deal with a small proportion of failed queries; hence, appropriate integration of concept-based techniques is desirable. Based on using the concepts of uniqueness and refinement for categorization, the study also provides a useful discussion on the gaps between image queries and retrieval techniques. The initial results enhance the understanding of failed queries and suggest possible ways to improve image retrieval systems.

Pu, Hsiao-Tieh. Journal of Information Science (2008). Articles>Web Design>Visual Rhetoric>Search