The paper "Guidelines for Using Multiple Views in Information Visualization" by Michelle Q. Wang Baldonado, Allison Woodruff, and Allan Kuchinsky discusses the design and implementation of multiple view systems, which use two or more distinct views to support the investigation of a single conceptual entity. The authors highlight the benefits and challenges of such systems, emphasizing the need for usability heuristics to guide their design. They present eight design guidelines that help designers decide when multiple views are appropriate and how to effectively use them: 1. **Diversity**: Use multiple views when there is diversity in attributes, models, user profiles, levels of abstraction, or genres. 2. **Complementarity**: Use multiple views when different views bring out correlations and disparities, enhancing understanding of complex relationships. 3. **Decomposition**: Partition complex data into multiple views to create manageable chunks and provide insight into interactions among different dimensions. 4. **Parsimony**: Use multiple views minimally to avoid cognitive overhead and system complexity. 5. **Space/Time Resource Optimization**: Balance the spatial and temporal costs of presenting multiple views with their benefits. 6. **Self-Evidence**: Use perceptual cues to make relationships among views more apparent to the user. 7. **Consistency**: Ensure consistency in system state and interface affordances to facilitate learning and comparisons. 8. **Attention Management**: Use perceptual techniques to focus the user's attention on the right view at the right time. The guidelines are derived from the authors' experiences and discussions at a CHI '98 workshop on information exploration interfaces. They aim to provide practical advice for designers to create effective multiple view systems in information visualization.The paper "Guidelines for Using Multiple Views in Information Visualization" by Michelle Q. Wang Baldonado, Allison Woodruff, and Allan Kuchinsky discusses the design and implementation of multiple view systems, which use two or more distinct views to support the investigation of a single conceptual entity. The authors highlight the benefits and challenges of such systems, emphasizing the need for usability heuristics to guide their design. They present eight design guidelines that help designers decide when multiple views are appropriate and how to effectively use them: 1. **Diversity**: Use multiple views when there is diversity in attributes, models, user profiles, levels of abstraction, or genres. 2. **Complementarity**: Use multiple views when different views bring out correlations and disparities, enhancing understanding of complex relationships. 3. **Decomposition**: Partition complex data into multiple views to create manageable chunks and provide insight into interactions among different dimensions. 4. **Parsimony**: Use multiple views minimally to avoid cognitive overhead and system complexity. 5. **Space/Time Resource Optimization**: Balance the spatial and temporal costs of presenting multiple views with their benefits. 6. **Self-Evidence**: Use perceptual cues to make relationships among views more apparent to the user. 7. **Consistency**: Ensure consistency in system state and interface affordances to facilitate learning and comparisons. 8. **Attention Management**: Use perceptual techniques to focus the user's attention on the right view at the right time. The guidelines are derived from the authors' experiences and discussions at a CHI '98 workshop on information exploration interfaces. They aim to provide practical advice for designers to create effective multiple view systems in information visualization.