I-Cubid: a nonlinear cubic graph-based approach to visualize and in-depth browse Flickr image results

The existing image search engines allow web users to explore images from the grids. The traditional interaction is linear and lookup-based. Notably, scanning web search results is horizontal-vertical and cannot support in-depth browsing. This research emphasizes the significance of a multidimensional exploration scheme over traditional grid layouts in visually exploring web image search results. This research aims to antecedent the implications of visualization and related in-depth browsing via a multidimensional cubic graph representation over a search engine result page (SERP). Furthermore, this research uncovers usability issues in the traditional grid and 3-dimensional web image search space. We provide multidimensional cubic visualization and nonlinear in-depth browsing of web image search results. The proposed approach employs textual annotations and descriptions to represent results in cubic graphs that further support in-depth browsing via a search user interface (SUI) design. It allows nonlinear navigation in web image search results and enables exploration, browsing, visualization, previewing/viewing, and accessing images in a nonlinear, interactive, and usable way. The usability tests and detailed statistical significance analysis confirm the efficacy of cubic presentation over grid layouts. The investigation reveals improvement in overall user satisfaction, screen design, information & terminology, and system capability in exploring web image search results.

Automated summary

This research focuses on exploring web image search results from a multidimensional perspective and uncovers usability issues with traditional grid layouts. By using cubic graphs to visualize search results and incorporating textual annotations and descriptions for deep browsing, this study provides a nonlinear browsing approach. Usability tests and statistical analysis confirm the effectiveness of cubic presentation, enhancing overall user satisfaction and system capabilities.