DocumentCode :
240635
Title :
Investigating Visual Attention of Students with Different Learning Ability on Texts Generated by Speech-to-Text Recognition
Author :
Shadiev, Rustam ; Yueh-Min Huang ; Wu-Yuin Hwang ; Shadiev, Narzikul
Author_Institution :
Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
423
Lastpage :
425
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 :
computer aided instruction; object tracking; speech recognition; STR; eye-tracking techniques; learning difference; speech-to-text recognition; student learning ability; student visual attention; subjective evidence; Computers; Educational institutions; Speech; Speech recognition; Text recognition; Visualization; Eye-tracking; Learning ability; Speech-to-text recognition; Visual attention;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/ICALT.2014.127
Filename :
6901501
Link To Document :
بازگشت