Online Learners’ Reading Ability Detection Based on Eye-Tracking Sensors
نویسندگان
چکیده
منابع مشابه
Online Learners’ Reading Ability Detection Based on Eye-Tracking Sensors
The detection of university online learners' reading ability is generally problematic and time-consuming. Thus the eye-tracking sensors have been employed in this study, to record temporal and spatial human eye movements. Learners' pupils, blinks, fixation, saccade, and regression are recognized as primary indicators for detecting reading abilities. A computational model is established accordin...
متن کاملAn Eye Tracking Study of How Pictures Influence Online Reading
We present an eye tracking study to measure if and how including pictures – relevant or irrelevant to the text – affects online reading. In a betweensubjects design, 82 subjects read a story on a computer screen. The text was accompanied by either: (a) pictures related to the text, (b) pictures unrelated to the text (advertisements), or (c) no pictures. Reading statistics such as reading speed ...
متن کاملESL Reading Research Based on Eye Tracking Techniques
Reading is a complex cognitive process. Through eye tracking techniques the cognitive features can be observed in depth, and therefore a better grasp of the instant cognitive processing of language can be achieved. Compared to traditional methods, the greatest advantage of eye tracking is that is that the reader proceeds with reading coherently and fluently without interrupt and interference, w...
متن کاملstatic versus dynamic assessment of l2 learners’ reading ability
dynamic assessment according to vygotskys sociocultural theory, states that instruction and assessment are interrelated. using static forms of assessment with second and foreign language students could do more harm than good. many teachers neglect to take account of the complexity involved in learning a second or foreign language and often wonder why learning of a language take so long. thi...
Online multiple people tracking-by-detection in crowded scenes
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2016
ISSN: 1424-8220
DOI: 10.3390/s16091457