Impact of cause‐related marketing on consumer advocacy and cause participation: A causal model based on self‐reports and eye‐tracking measures

Comparison of Digital Human Model-Based Ergonomic Software Using Eye-Tracking Methodology – Presenting Pilot Usability Tests

Lecture Notes in Computer Science - Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body and Motion ◽

10.1007/978-3-030-22216-1_2 ◽

2019 ◽

pp. 22-32

Author(s):

Mária Babicsné Horváth ◽

Károly Hercegfi ◽

Tamás Fergencs

Keyword(s):

Eye Tracking ◽

Human Model ◽

Digital Human Model ◽

Model Based ◽

Usability Tests ◽

Digital Human

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How are learning strategies reflected in the eyes? Combining results from self-reports and eye-tracking

British Journal of Educational Psychology ◽

10.1111/bjep.12181 ◽

2017 ◽

Vol 88 (1) ◽

pp. 118-137 ◽

Cited By ~ 8

Author(s):

Leen Catrysse ◽

David Gijbels ◽

Vincent Donche ◽

Sven De Maeyer ◽

Marije Lesterhuis ◽

...

Keyword(s):

Eye Tracking ◽

Learning Strategies ◽

Self Reports

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Hybrid Causal Model Based Diagnosis

IFAC Proceedings Volumes ◽

10.3182/20120829-3-mx-2028.00188 ◽

2012 ◽

Vol 45 (20) ◽

pp. 678-683 ◽

Cited By ~ 1

Author(s):

R. Pons ◽

A. Subias ◽

L. Travé-Massuyès

Keyword(s):

Causal Model ◽

Model Based

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An eye-tracking study of attention to visual cues in L2 listening tests

Language Testing ◽

10.1177/0265532220951504 ◽

2020 ◽

pp. 026553222095150

Author(s):

Aaron Olaf Batty

Keyword(s):

Eye Tracking ◽

Visual Information ◽

Visual Cues ◽

Spoken Language ◽

Emotional States ◽

Human Communication ◽

Listening Tests ◽

Self Reports ◽

Primary Difference ◽

L2 Listening

Nonverbal and other visual cues are well established as a critical component of human communication. Under most circumstances, visual information is available to aid in the comprehension and interpretation of spoken language. Citing these facts, many L2 assessment researchers have studied video-mediated listening tests through score comparisons with audio tests, by measuring the amount of time spent watching, and by attempting to determine examinee viewing behavior through self-reports. However, the specific visual cues to which examinees attend have heretofore not been measured objectively. The present research employs eye-tracking methodology to determine the amounts of time 12 participants viewed specific visual cues on a six-item, video-mediated L2 listening test. Seventy-two scanpath-overlaid videos of viewing behavior were manually coded for visual cues at 0.10-second intervals. Cued retrospective interviews based on eye-tracking data provided reasons for the observed behaviors. Faces were found to occupy the majority (81.74%) of visual dwell time, with participants largely splitting their time between the speaker’s eyes and mouth. Detected gesture viewing was negligible. The reason given for most viewing behavior was determining characters’ emotional states. These findings suggest that the primary difference between audio- and video-mediated L2 listening tests of conversational content is the absence or presence of facial expressions.

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