Bachelor Thesis BCLR-2022-111

BibliographyBakhchali, Sarra: Predicting Recallability from Gaze Behaviour on InfoVis.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Bachelor Thesis No. 111 (2022).
45 pages, english.

There are various factors that influence memorability and recallability. If one wants to improve how much information they can remember, it’s important to understand how to interpret that information. The shape and layout of the graphs plays a very important role in making a certain visual information memorable, but that’s not the only major factor. In fact, how to observe information visualizations could be just as important if not more in retaining information. Therefore, a good visual exploration strategy could improve our recallability score, while a bad one might negatively affect it.

Department(s)University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
Superviser(s)Bulling, Prof. Andreas; Wang, Yao
Entry dateApril 5, 2024
   Publ. Computer Science