Alex Endert

Visual analytic tools emphasize the importance of combining interactive visualizations with data analytic models to give people insight into data and AI. Through user interactions with these systems, people prepare data, explore and analyze it, and make decisions. Often, various computational or AI models guide users throughout their exploration, and people provide feedback to these models as analysis proceeds. Thus, how can we design and build mixed-initiative visual analytic tools that support users in their tasks via guidance? This talk will discuss the opportunities and challenges of guidance during visual data analysis, and give examples of how the field is moving closer towards the goals and principles of mixed-initiative systems.