TY - GEN
T1 - Platform for Evaluation of Readers’ Implicit Feedback using Eye-Tracking
AU - Zivkovic, M.
AU - van den Broek, E.L.
AU - van der Sluis, Frans
PY - 2018/9/5
Y1 - 2018/9/5
N2 - 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’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.
AB - 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’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.
KW - Information eXperience
KW - eye-tracking
KW - Java
KW - WEKA
KW - Human-centered computing
KW - Software architectures
KW - Information Retrieval
U2 - 10.1145/3232078.3232099
DO - 10.1145/3232078.3232099
M3 - Conference contribution
T3 - ICPS: ACM International Conference Proceeding Series
BT - Proceedings of the 30th European Conference on Cognitive Ergonomics (ECCE'18)
A2 - van den Broek, Egon L.
A2 - van Oostendorp, Herre
A2 - Détienne, Françoise
A2 - Stary, Christian
PB - Association for Computing Machinery
CY - New York, NY, USA
ER -