TY - GEN

T1 - Platform for Evaluation of Readers' Implicit Feedback Using Eye-Tracking

AU - Živković, Miroslav

AU - van den Broek, Egon L.

AU - van der Sluis, Frans

N1 - Conference code: 36

PY - 2018

Y1 - 2018

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, Java, WEKA, eye-tracking

U2 - 10.1145/3232078.3232099

DO - 10.1145/3232078.3232099

M3 - Article in proceedings

SN - 978-1-4503-6449-2

VL - 36

T3 - ECCE'18

BT - ECCE'18: Proceedings of the 36th European Conference on Cognitive Ergonomics

PB - Association for Computing Machinery

CY - New York, NY, USA

T2 - European Conference on Cognitive Ergonomics

Y2 - 5 September 2018 through 7 September 2018

ER -