Generating Heatmap for Unknown Documents towards Readability MeasurementJayasankar Santhosh; Shoya Ishimaru; Andreas Dengel
In: New York Association for Computing Machinery (Hrsg.). IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces Companion 2020. International Conference on Intelligent User Interfaces (IUI-2020), 25th International Conference on Intelligent User Interfaces, March 18-20, Cagliari, Italy, Pages 47-48, ISBN 978-1-4503-7513-9, Association for Computing Machinery New York, NY, United States, 3/2020.
The key idea behind this paper is to generate fixation heatmap of unknown documents to visualize and determine the focus areas in a document as a first step towards the readability measurement of the document. The data samples were collected by conducting experiment with nine participants reading 15 documents and the proposed method was to predict the fixation duration of each word in the documents. A Random Forest Regression model was used to predict the fixation duration per word and we achieved a mean regression score (R2) of 0.757 for all the documents.