A Study to Explore How Differences in the Amount of Details in Visualization Impact Decision-making

This study explores how differences in the amount of details in visualization impact the decision-making process. Everyday decisions like buying a used car are the focus of the study. A visualization tool that is able to show different number of attributes was designed and developed using JavaScript library d3. Twenty users participated in the user study and were asked to make car-buying decisions based on the observation of different levels of details of car information presented in the developed visualization tool. Two patterns of the decision-making process were summarized. The increasing number of details in information visualization does not always influence participants' decision-making, while the value range and the level of importance of the newly added attributes turned out to be more influential on participants' decision-making processes. A weak correlation between level of confidence and the number of details in information visualization is found.Master of Science in Information Scienc