@inproceedings{c6521de1cf17477ca35d84a1c8fb398f,
title = "Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition",
abstract = "One major drawback of previous research on speech-to-text recognition (STR) is that most of their findings showing an effectiveness of STR for learning in traditional classroom were based on subjective evidences. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR generated text. Furthermore, not much attention was paid to learning differences (i.e. Learning ability) to use STR-text. Therefore, this study carried out one experiment in which participants' visual attention on STR generated text during lectures was investigated by employing eye-tracking technique. Besides, how differently effective STR-text can be to influence participants' learning achievement was tested. Furthermore, this paper discusses results, research findings, and implications along with conclusions and several suggestions for future development and research.",
keywords = "Eye-tracking, Learning ability, Speech-to-text recognition, Visual attention",
author = "Rustam Shadiev and Huang, {Yueh Min} and Hwang, {Wu Yuin} and Narzikul Shadiev",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014 ; Conference date: 07-07-2014 Through 09-07-2014",
year = "2014",
month = sep,
day = "17",
doi = "10.1109/ICALT.2014.127",
language = "???core.languages.en_GB???",
series = "Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "423--425",
editor = "Sampson, {Demetrios G.} and Spector, {Michael J.} and Nian-Shing Chen and Ronghuai Huang and Kinshuk",
booktitle = "Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014",
}