Platform for Evaluation of Readers' Implicit Feedback Using Eye-Tracking
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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.
Originalsprog | Engelsk |
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Titel | ECCE'18: Proceedings of the 36th European Conference on Cognitive Ergonomics |
Antal sider | 4 |
Vol/bind | 36 |
Udgivelsessted | New York, NY, USA |
Forlag | Association for Computing Machinery |
Publikationsdato | 2018 |
Artikelnummer | 13 |
ISBN (Trykt) | 978-1-4503-6449-2 |
DOI | |
Status | Udgivet - 2018 |
Begivenhed | European Conference on Cognitive Ergonomics - Utrecht, Holland Varighed: 5 sep. 2018 → 7 sep. 2018 Konferencens nummer: 36 |
Konference
Konference | European Conference on Cognitive Ergonomics |
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Nummer | 36 |
Land | Holland |
By | Utrecht |
Periode | 05/09/2018 → 07/09/2018 |
Navn | ECCE'18 |
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- Information experience, Java, WEKA, eye-tracking
Forskningsområder
ID: 212266084