iTrace : Interactive Tracing of Cross-View Data Relationships

TL;DR

iTrace is an interactive visualization technique that uses focus transitions to help users trace and understand complex cross-view data relationships more effectively, especially when data elements are scattered.

Contribution

The paper introduces iTrace, a novel interactive focus transition method that improves the exploration of cross-view data relationships in complex visualizations.

Findings

User study shows improved understanding of data relationships.

Enhanced ability to follow scattered data links.

Broad applicability across different visualization domains.

Abstract

Exploring data relations across multiple views has been a common task in many domains such as bioinformatics, cybersecurity, and healthcare. To support this, various techniques (e.g., visual links and brushing and linking) are used to show related visual elements across views via lines and highlights. However, understanding the relations using these techniques, when many related elements are scattered, can be difficult due to spatial distance and complexity. To address this, we present iTrace, an interactive visualization technique to effectively trace cross-view data relationships. iTrace leverages the concept of interactive focus transitions, which allows users to see and directly manipulate their focus as they navigate between views. By directing the user's attention through smooth transitions between related elements, iTrace makes it easier to follow data relationships. We demonstrate the effectiveness of iTrace with a user study, and we conclude with a discussion of how iTrace can be broadly used to enhance data exploration in various types of visualizations.