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Heidi Lam, Enrico Bertini, Petra Isenberg

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|December 7, 2011

Summary

This study introduces seven scenarios for evaluating information visualization (InfoVis) research, derived from over 800 publications. These scenarios guide researchers in selecting appropriate study goals and research questions for effective InfoVis evaluation.

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Area of Science:

Information Visualization (InfoVis)
Human-Computer Interaction (HCI)
Data Science Research Methods

Background:

Information visualization evaluation is critical for advancing the field.
Existing evaluation methods lack a structured, scenario-based approach.
A comprehensive review of visualization literature is needed to identify common evaluation practices.

Purpose of the Study:

To propose a novel, scenario-based framework for information visualization evaluation.
To categorize different evaluation goals and research questions within InfoVis.
To provide guidance for designing effective information visualization studies.

Main Methods:

Conducted an extensive literature review of over 800 information visualization publications.
Distilled findings into seven distinct evaluation scenarios.
Illustrated each scenario with example studies to demonstrate practical application.

Main Results:

Identified and defined seven key scenarios for information visualization evaluation.
These scenarios cover diverse aspects such as visual data analysis, user performance, user experience, and collaborative analysis.
The study encapsulates current practices in the information visualization research community.

Conclusions:

The proposed scenario-based approach offers a structured method for selecting appropriate evaluation goals and research questions.
This framework aids researchers in designing more effective and targeted information visualization studies.
The identified scenarios and example studies serve as a valuable resource for the InfoVis research community.