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Visual Fixations Duration as an Indicator of Skill Level in eSports
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Fixations can vary greatly in duration, from 30-40 ms to over 2000 ms, and convey different cognitive processes.
“Fixations can vary greatly in duration – as short as 30–40 ms and as long as over 2000 ms (Holmqvist et al., 2011, p. 381; Velichkovsky et al., 2019) – and convey different cognitive processes (Holmqvist et al., 2011, p. 416; Schleicher et al., 2008).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Velichkovsky et al., 2019
The Introduction says fixation durations can exceed 2000 ms, but gives 50 ms—not the claimed 30–40 ms—as a typical short duration. In the citing sentence, the separate claim about cognitive processes is attached to other citations, not Velichkovsky et al. (LLM, conf=0.88)
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Research works printed but not linked: 14
- Al-Samarraie, H., Sarsam, S.M., Guesgen, H.: Predicting user preferences of environment design: a perceptual mechanism of user interface customization. Behav. Inf. Technol. 35(8), 644–653 (2016). https://doi.org/10.1080/0144929X.2016.1186735 · DOI
- Balota, D.A., Yap, M.J., Cortese, M.J., Watson, J.M.: Beyond mean response latency: response time distributional analyses of semantic priming. J. Mem. Lang. 59, 495–523 (2008) · DOI
- Berman, R., Colby, C.: Attention and active vision. Vis. Res. 49(10), 1233–1248 (2009) · DOI
- Eisenberg, M.L., Zacks, J.M.: Ambient and focal visual processing of naturalistic activity. J. Vis. 16(2), 5 (2016). https://doi.org/10.1167/16.2.5 · DOI
- Fitts, P.M., Posner, M.I.: Human Performance. Brooks/Cole, Belmont (1967)
- Follet, B., Le Meur, O., Baccino, T.: New insights into ambient and focal visual fixations using an automatic classification algorithm. Iperception. 2(6), 592–610 (2011). https://doi.org/10.1068/i0414 · DOI
- Goodale, M.A., Milner, A.D.: Separate visual pathways for perception and action. Trends Neurosci. 15(1), 20–25 (1992) · DOI · Paper page
- Graham, T.C.N, et al.: Usability and computer games: working group report. In: Doherty, G., Blandford, A. (eds.) DSV-IS 2006. LNCS, vol. 4323, pp. 265–268. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-69554-7_22 · DOI
- Jacob, R.J.K.: The use of eye movements in human-computer interaction techniques: what you look at is what you get. ACM Trans. Inf. Syst. 9(3), 152–169 (1991) · DOI · Paper page
- Roccetti, M., Marfia, G., Semeraro, A.: Playing into the wild: a gesture-based interface for gaming in public spaces. J. Vis. Commun. Image Representation 23(3), 426–440 (2012) · DOI
- Starke, S.D., Baber, C.: The effect of four user interface concepts on visual scan pattern similarity and information foraging in a complex decision making task. Appl. Ergon. 70, 6–17 (2018) · DOI
- Van Renswoude, D.R., Raijmakers, M.R.F., Koornneef, A., Johnson, S.P., Hunnius, S., Visser, I.: Gazepath: an eye-tracking analysis tool that accounts for individual differences and data quality. Behav. Res. Methods 50(2), 834–852 (2018) · DOI
- Velichkovsky, B.M., Dornhoefer, S.M., Kopf, M., Helmert, J., Joos, M.: Change detection and occlusion modes in road-traffic scenarios. Transp. Res. Part F Traffic Psychol. Behav. 5(2), 99–109 (2002) · DOI
- Velichkovsky, B.M., Dornhoefer, S.M., Pannasch, S., Unema, P.: Visual fixations and level of attentional processing. In: Proceedings of the Eye Tracking Research & Application Symposium, ETRA 2000, Palm Beach Gardens, Florida, USA, 6–8 November 2000. https://doi.org/10.1145/355017.355029 · DOI
Cited by
Sorted by citations
Kapaj, A., Hilton, C., Lanini-Maggi, S., & Fabrikant, S. I. (2024) · Spatial Cognition & Computation · doi:10.1080/13875868.2024.2328099 · Cited by 20
Metadata
- Authors
- Velichkovsky, B. B., Khromov, N., Korotin, A., Burnaev, E., & Somov, A.
- Affiliations
- Lomonosov Moscow State University (RU)
- Skolkovo Institute of Science and Technology (RU)
- Corresponding author
- Velichkovsky, Boris B.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2019
- Volume
- LNCS-11746
- Issue
- Part I
- Pages
- 397-405
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2948502456
- Cited by
- 27
- References
- 0
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 6 · 2023: 2 · 2022: 5 · 2021: 5 · 2020: 3
- FWCI
- 2.59
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, cc-by)
- arXiv (Cornell University)
- Funders
- Russian Foundation for Basic Research (18-29-22077, 18-29-, 18-29-22077\18)
- Skolkovo Institute of Science and Technology
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
- Keywords
- visual fixation, fixation duration, eye movements, skill level, esports, computer game players, bimodal distribution, adaptive user interfaces, interface design
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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