User-driven Expectation Visualization : Opportunities for Personalized Feedback

In this paper, we define and motivate Expectation Visualization, an interactive technique for soliciting, and presenting personalized feedback on, a user’s expectation of the data. Expectation Visualization (EV) addresses the common challenge faced by designers of how to engage users with visualized data on a deeper level. We describe the design space of EV, including how it can be used for data encoded in marks and mark attributes, and describing forms of training and personalized feedback. We propose three specific applications where the benefits of EV may be particularly useful. We conclude with ideas for future research.