@inproceedings{e2a2fbf7efc949b1b2096e37f38f66ea,
title = "Platform for Evaluation of Readers{\textquoteright} Implicit Feedback using Eye-Tracking",
abstract = "Large amounts of information are nowadays easily obtainable using the Internet, and using implicit feedback whether a reader finds a text interesting is desirable. Eye tracking technology could be used for such a feedback, and a combination of eye-movement features and a textual complexity measure can be used to predict the user{\textquoteright}s interest. In this paper we give an overview of a platform developed to evaluate and visualize implicit feedback of a person who reads a text. Based on the eye-movement samples provided, a model is trained that could be used to predict comprehensibility of a user reading a text. This prediction is combined with objective complexity evaluation of the text using data mining methods, and the outcome is used to select a text (from a repository) that a user may find more valuable (interesting). We briefly discuss the requirements, architecture and implementation of this platform.",
keywords = "Information eXperience, eye-tracking, Java, WEKA, Human-centered computing, Software architectures, Information Retrieval",
author = "M. Zivkovic and {van den Broek}, E.L. and {van der Sluis}, Frans",
year = "2018",
month = sep,
day = "5",
doi = "10.1145/3232078.3232099",
language = "English",
series = "ICPS: ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
editor = "{van den Broek}, {Egon L.} and {van Oostendorp}, Herre and Fran{\c c}oise D{\'e}tienne and Christian Stary",
booktitle = "Proceedings of the 30th European Conference on Cognitive Ergonomics (ECCE'18)",
address = "United States",
}