Designing and Evaluating Feedback Schemes for Improving Data Visualization Performance

Zha, Meixintong

Student Work

Designing and Evaluating Feedback Schemes for Improving Data Visualization Performance Public

Data visualization assessment has proven many hypotheses while changing its platform from lab experiment to online crowdsourced studies. Yet, few if any of these studies include visualization feedback participants’ performance which is a missed opportunity to measure the effects of feedback in data visualization assessment. We gathered feedback mechanics from educational platforms, video games, and fitness applications and built a website that provided two versions of possible summary pages - with feedback or no feedback. Our results from a 64 participants study suggest that, on average, the feedback group may have improved slightly faster than the no feedback group.

Creator