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Eye-tracking for user attention evaluation in adaptive serious games

 
: Streicher, Alexander; Leidig, S.; Roller, Wolfgang

:
Postprint urn:nbn:de:0011-n-5159612 (743 KByte PDF)
MD5 Fingerprint: f2ccb7793b80b27db2f96df2cef4f62f
The original publication is available at springerlink.com
Erstellt am: 7.5.2019


Pammer-Schindler, V.:
Lifelong technology-enhanced learning. 13th European Conference on Technology Enhanced Learning, EC-TEL 2018 : Leeds, UK, September 3-5, 2018; Proceedings
Cham: Springer International Publishing, 2018 (Lecture Notes in Computer Science 11082)
ISBN: 978-3-319-98571-8 (Print)
ISBN: 978-3-319-98572-5 (Online)
S.583-586
European Conference on Technology Enhanced Learning (EC-TEL) <13, 2018, Leeds>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
adaptive game; eye tracking; ideal path; serious game

Abstract
The Ideal Path Score (IPS) developed in this work is able to improve adaptivity of serious games by more accurately estimating performance and need for help based on playersâ interactions and eye movements. The automatic personalization of adaptive e-learning systems supports effective learning for users with varying levels of knowledge and skills. Particularly in games, indicators informing adaptivity, like attention and performance of the player, should be assessed non-invasively to avoid interrupting the playerâs flow experience and to keep up the immersion. Passive sensors like eye tracking can solve this challenge. This paper presents the concept of the IPS and its integration in an adaptive serious game for image interpretation training. The realized IPS-adaptive game assesses performance and attention of players based on eye movements and interactions with the game.

: http://publica.fraunhofer.de/dokumente/N-515961.html