Eye-Based Construct Measurement and Its Validity: A Systematic Review
Shranjeno v:
| izdano v: | Journal of Database Management vol. 36, no. 1 (2025), p. 1-46 |
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| Glavni avtor: | |
| Drugi avtorji: | , , |
| Izdano: |
IGI Global
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| Teme: | |
| Online dostop: | Citation/Abstract Full Text - PDF |
| Oznake: |
Brez oznak, prvi označite!
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MARC
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| 001 | 3277804476 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1063-8016 | ||
| 022 | |a 1533-8010 | ||
| 022 | |a 1047-9430 | ||
| 024 | 7 | |a 10.4018/JDM.394245 |2 doi | |
| 035 | |a 3277804476 | ||
| 045 | 2 | |b d20250101 |b d20250331 | |
| 084 | |a 11186 |2 nlm | ||
| 100 | 1 | |a Jia, Feiyan |u University of Science and Technology of China, China | |
| 245 | 1 | |a Eye-Based Construct Measurement and Its Validity: A Systematic Review | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Objective eye movement data have the potential to measure users' states instantly and in real time, providing a basis for timely intervention and personalized adaptation. Despite the broad applicability of eye-based construct measurement, research on its development and validation remains limited. Following the preferred reporting items for systematic reviews and meta-analyses guidelines, this review analyzes 127 studies that investigate the use of eye-tracking metrics to measure abstract constructs and the corresponding validity evidence. The findings reveal that eye-tracking metrics can measure a wide variety of constructs. Drawing on validity evidence commonly employed in psychometric-based construct measurement, this study synthesizes and summarizes validity evidence applicable to eye-based construct measurement. To illustrate the application of eye-tracking metrics and their supporting evidence, this article uses the example of detecting a vehicle driver's cognitive load, offering guidance for future studies and practical applications. | |
| 653 | |a Meta-analysis | ||
| 653 | |a Measurement | ||
| 653 | |a Eye movements | ||
| 653 | |a Measures | ||
| 653 | |a Validity | ||
| 653 | |a Systematic review | ||
| 653 | |a Self report | ||
| 653 | |a Cognitive load | ||
| 653 | |a Tracking | ||
| 653 | |a Eye tracking | ||
| 653 | |a Keywords | ||
| 700 | 1 | |a Sia, Choon Ling |u City University of Hong Kong, China | |
| 700 | 1 | |a Liu, Yue |u City University of Hong Kong, China | |
| 700 | 1 | |a Li, Jingwei |u Shenzhen MSU-BIT University, China | |
| 773 | 0 | |t Journal of Database Management |g vol. 36, no. 1 (2025), p. 1-46 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3277804476/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3277804476/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |