Complex queries in information visualizations: distributing instruction across documentation and interfaces

ABSTRACT

Successful visual querying requires users to understand what data selection means and how it works in interactive and dynamically linked graphics. Visually selecting data differs from writing query or search statements, and users who are new to visualizations have to learn this new paradigm of querying. A usability study that I conducted provides findings about problems that users encounter in visual selection when analyzing data for a realistic, complex business problem. These problems reveal the program-based support that users need in order to make accurate, complete, and efficient selections. I identify combined improvements in user interfaces and Help that address these problems.

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.7 Distribution, Maintenance, and Enhancement
          Subjects: Documentation

Additional Classification:
  D. Software
  D.1 PROGRAMMING TECHNIQUES
  D.2 SOFTWARE ENGINEERING
      D.2.2 Design Tools and Techniques
          Subjects: User interfaces

  H. Information Systems
  H.1 MODELS AND PRINCIPLES

General Terms:
Design, Documentation, Human Factors, Performance, Theory

Keywords:
documentation, human factors, usability, user interface design, user testing, visualizations