scholarly journals Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving

2021 ◽  
pp. 1-12
Author(s):  
Feng Zhou ◽  
X. Jessie Yang ◽  
Joost C. F. de Winter
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Situation Awareness ◽  
Tracking Data ◽  
Automated Driving

USING EYE-TRACKING TO INVESTIGATE TOPICS IN L2 ACQUISITION AND L2 PROCESSING

2013 ◽  
Vol 35 (2) ◽  
pp. 213-235 ◽  
Author(s):  
Leah Roberts ◽  
Anna Siyanova-Chanturia
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Language Processing ◽  
Target Language ◽  
Tracking Data ◽  
L2 Acquisition ◽  
Tracking Method ◽  
L2 Processing ◽  
Major Benefit ◽  
The Moment

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.

Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving

2021 ◽  
Vol 157 ◽  
pp. 106143
Author(s):  
Nade Liang ◽  
Jing Yang ◽  
Denny Yu ◽  
Kwaku O. Prakah-Asante ◽  
Reates Curry ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Situation Awareness ◽  
Automated Driving ◽  
Visual Engagement

Driver Situation Awareness and Perceived Sleepiness during Truck Platoon Driving – Insights from Eye-tracking Data

2021 ◽  
pp. 1-11
Author(s):  
Sarah-Maria Castritius ◽  
Patric Schubert ◽  
Christoph Dietz ◽  
Heiko Hecht ◽  
Lynn Huestegge ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Situation Awareness ◽  
Tracking Data

scholarly journals A cross-linguistic investigation of proactive, similarity-based retrieval interference in sentence comprehension: No support from English, German and Russian eye-tracking data

2020 ◽  
Author(s):  
Daniela Mertzen ◽  
Anna Laurinavichyute ◽  
Brian Dillon ◽  
Ralf Engbert ◽  
Shravan Vasishth
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Large Scale ◽  
Sentence Comprehension ◽  
Tracking Data ◽  
Processing Demands ◽  
Retrieval Mechanism ◽  
Syntactic Dependencies ◽  
Retrieval Interference ◽  
Larger Sample

Cue-based parsing theories posit that dependency resolution during real-time sentence comprehension relies on cue-based retrieval of linguistic items encoded in memory. This retrieval mechanism is prone to similarity-based interference, which can occur when there are items in memory that are similar to the retrieval target. Interference during sentence comprehension seems to be well-established across numerous syntactic dependencies; however, the evidence for interference on within-sentence dependencies from sentence-external lexical items (encoded in memory prior to reading a target dependency) is inconclusive (Van Dyke &McElree, 2006; Van Dyke et al., 2014). The goal of the present study is to provide a large-scale cross-linguistic investigation of retrieval interference from sentence-external distractors under varying processing demands. Three larger-sample eye-tracking studies in English (N=66),German (N=122) and Russian (N=109) show no support for similarity-based interference from sentence-external material during sentence comprehension. We discuss the implications of our findings for cue-based parsing theories.

Evaluation of a Tunnel-in-the-Sky Head-Up Display Design for Curved Approaches Using Eye-Tracking

2020 ◽  
Vol 10 (1) ◽  
pp. 3-12
Author(s):  
Ana Paz Goncalves Martins ◽  
Steffen Hölscher ◽  
Thomas Dautermann
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Situation Awareness ◽  
Situational Awareness ◽  
Tracking Data ◽  
Two Dimensional ◽  
Display Design ◽  
Perceived Workload ◽  
Tracking Behavior ◽  
Very High

Abstract. Head-up displays (HUD) assist pilots, especially in the approach and landing phase. In this paper we compared pilots’ eye-tracking behavior between a pathway-in-the-sky layout versus the more conventional two-dimensional symbology in an HUD in a fixed-based cockpit simulator. In particular, we wanted to assess how visual attention was distributed within each layout (tunnel and standard). Performance and eye-tracking data were recorded, as well as workload and situation awareness measures. Results showed that the tunnel-in-the-sky symbology provided a very high tracking performance with low perceived workload and high perceived situational awareness. The analysis of the eye-tracking data revealed possible attentional tunneling with the tunnel-in-the-sky symbology and large differences between the displays in the distribution of visual attention.

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