A Real-Time Eye Tracking Method for Detecting Optokinetic Nystagmus

Second language (L2) researchers are becoming more interested in both L2 learners’ knowledge of the target language and how that knowledge is put to use during real-time language processing. Researchers are therefore beginning to see the importance of combining traditional L2 research methods with those that capture the moment-by-moment interpretation of the target language, such as eye-tracking. The major benefit of the eye-tracking method is that it can tap into real-time (or online) comprehension processes during the uninterrupted processing of the input, and thus, the data can be compared to those elicited by other, more metalinguistic tasks to offer a broader picture of language acquisition and processing. In this article, we present an overview of the eye-tracking technique and illustrate the method with L2 studies that show how eye-tracking data can be used to (a) investigate language-related topics and (b) inform key debates in the fields of L2 acquisition and L2 processing.

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Comparing and Combining Interaction Data and Eye-tracking Data for the Real-time Prediction of User Cognitive Abilities in Visualization Tasks

ACM Transactions on Interactive Intelligent Systems ◽

10.1145/3301400 ◽

2020 ◽

Vol 10 (2) ◽

pp. 1-41 ◽

Cited By ~ 1

Author(s):

Cristina Conati ◽

Sébastien Lallé ◽

Md Abed Rahman ◽

Dereck Toker

Keyword(s):

Eye Tracking ◽

Real Time ◽

Cognitive Abilities ◽

Interaction Data ◽

Tracking Data ◽

The Real ◽

Time Prediction

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Real-time face & eye tracking and blink detection using event cameras

Neural Networks ◽

10.1016/j.neunet.2021.03.019 ◽

2021 ◽

Author(s):

Cian Ryan ◽

Brian O’Sullivan ◽

Amr Elrasad ◽

Aisling Cahill ◽

Joe Lemley ◽

...

Keyword(s):

Eye Tracking ◽

Real Time ◽

Blink Detection

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A Real-time Monocular Tracking Method for Low-Cost Mobile Robot

2018 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2018.8812466 ◽

2018 ◽

Author(s):

Ruonan Ren ◽

Guangzeng Chen ◽

Mingliang Wang ◽

Yunjiang Lou

Keyword(s):

Mobile Robot ◽

Real Time ◽

Low Cost ◽

Tracking Method

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How to take advantage of tablet computers: Effects of news structure on recall and comprehension

Communications ◽

10.1515/commun-2015-0020 ◽

2015 ◽

Vol 40 (4) ◽

Cited By ~ 5

Author(s):

Anna Van Cauwenberge ◽

Leen d’Haenens ◽

Hans Beentjes

Keyword(s):

Eye Tracking ◽

Tablet Computers ◽

Tracking Method ◽

News Stories ◽

News Consumption ◽

Set Up ◽

And Control ◽

Factual Recall

AbstractIn light of the growing use of tablets for news reading and mobile news consumption behaviors, this study examined whether an innovative way of structuring news on the tablet that mimics mobile news behaviors reinforced attention for, and learning from, news. Specifically, it was theorized that the chronological and associative structuring of news articles into so-called developing news stories would lead to more attention for news, and better recall and comprehension of news, than the linear print newspaper structure that newspaper publishers continue to copy from print to tablet. A multiple-day experiment was set up using the eye-tracking method to measure and control for attention. The results show that the developing news structure increased comprehension of news substantively, independently of attention effects; no effects were found on attention and factual recall.

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