Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Luo, F.; Zhang, Y.; Liang, W.; Blais, C.; Demers, M. -P. Plouffe; Fiset, D.; Sun, D.; Chen, B.
Stroke features in the Chinese character recognition Journal Article
In: Quarterly Journal of Experimental Psychology, 2025, ISSN: 17470218 (ISSN).
Abstract | Links | BibTeX | Tags: Bubbles technique, Chinese stroke recognition, delayed-segment paradigm, script-specific adaptations, visual features
@article{luo_stroke_2025,
title = {Stroke features in the Chinese character recognition},
author = {F. Luo and Y. Zhang and W. Liang and C. Blais and M. -P. Plouffe Demers and D. Fiset and D. Sun and B. Chen},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105024609336&doi=10.1177%2F17470218251357441&partnerID=40&md5=04053a28f9602f36a971eadd4f981cdb},
doi = {10.1177/17470218251357441},
issn = {17470218 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Quarterly Journal of Experimental Psychology},
abstract = {While line vertices, terminations, and midsegments are critical for Roman letter identification, the diagnostic features of Chinese character strokes remain unclear. This study examines how local stroke-level features and global line-relation mechanisms contribute to Chinese character recognition. In Experiment 1, we applied the Bubbles classification image technique to native Chinese readers to identify diagnostic stroke features. Results revealed four key features: horizontal hooks, dots, vertical turnings, and raises. These features, while analogous to terminations in alphabetic systems, reflect unique dynamics of Chinese stroke production, marking stroke origins and terminations. Experiment 2 employed a delayed-segment paradigm to assess functional significance of these features. Greater degradation of vertices and midsegments significantly prolonged reaction times, and removal of stroke-based terminations (e.g., hooks) impaired recognition accuracy. Together, these findings support a two-tiered hierarchy in Chinese character recognition: stroke-specific terminals enable fine-grained feature discrimination, while line-relation features support global structural integration. The results affirm script-general principles (midsegments and vertices as perceptual anchors) and highlight language-specific adaptations, where stroke terminations function as dynamic positional cues. © Experimental Psychology Society 2025},
keywords = {Bubbles technique, Chinese stroke recognition, delayed-segment paradigm, script-specific adaptations, visual features},
pubstate = {published},
tppubtype = {article}
}
While line vertices, terminations, and midsegments are critical for Roman letter identification, the diagnostic features of Chinese character strokes remain unclear. This study examines how local stroke-level features and global line-relation mechanisms contribute to Chinese character recognition. In Experiment 1, we applied the Bubbles classification image technique to native Chinese readers to identify diagnostic stroke features. Results revealed four key features: horizontal hooks, dots, vertical turnings, and raises. These features, while analogous to terminations in alphabetic systems, reflect unique dynamics of Chinese stroke production, marking stroke origins and terminations. Experiment 2 employed a delayed-segment paradigm to assess functional significance of these features. Greater degradation of vertices and midsegments significantly prolonged reaction times, and removal of stroke-based terminations (e.g., hooks) impaired recognition accuracy. Together, these findings support a two-tiered hierarchy in Chinese character recognition: stroke-specific terminals enable fine-grained feature discrimination, while line-relation features support global structural integration. The results affirm script-general principles (midsegments and vertices as perceptual anchors) and highlight language-specific adaptations, where stroke terminations function as dynamic positional cues. © Experimental Psychology Society 2025
2.
Fiset, D.; Blais, C.; Arguin, M.; Tadros, K.; Éthier-Majcher, C.; Bub, D.; Gosselin, F.
The spatio-temporal dynamics of visual letter recognition Journal Article
In: Cognitive Neuropsychology, vol. 26, no. 1, pp. 23–35, 2009, ISSN: 02643294.
Abstract | Links | BibTeX | Tags: article, bootstrapping, Bubbles technique, Discrimination Learning, human, Humans, Image analysis, linear regression analysis, methodology, Models, Nonlinear Dynamics, nonlinear system, Pattern Recognition, Photic Stimulation, photostimulation, physiology, priority journal, Psychological, psychological model, reaction time, recognition, Recognition (Psychology), task performance, temporal summation, time, Time Factors, Visual, word recognition
@article{fiset_spatio-temporal_2009,
title = {The spatio-temporal dynamics of visual letter recognition},
author = {D. Fiset and C. Blais and M. Arguin and K. Tadros and C. Éthier-Majcher and D. Bub and F. Gosselin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-67649525418&doi=10.1080%2f02643290802421160&partnerID=40&md5=bca7bda93d59994f2679faff9d93f46a},
doi = {10.1080/02643290802421160},
issn = {02643294},
year = {2009},
date = {2009-01-01},
journal = {Cognitive Neuropsychology},
volume = {26},
number = {1},
pages = {23–35},
abstract = {We applied the Bubbles technique to reveal directly the spatio-temporal features of uppercase Arial letter identification. We asked four normal readers to each identify 26,000 letters that were randomly sampled in space and time; afterwards, we performed multiple linear regressions on the participant's response accuracy and the space-time samples. We contend that each cluster of connected significant regression coefficients is a letter feature. To bridge the gap between the letter identification literature and this experiment, we also determined the relative importance of the features proposed in the letter identification literature. Results show clear modulations of the relative importance of the letter features of some letters across time, demonstrating that letter features are not always extracted simultaneously at constant speeds. Furthermore, of all the feature classes proposed in the literature, line terminations and horizontals appear to be the two most important for letter identification. © 2008 Psychology Press, an imprint of the Taylor & Francis Group.},
keywords = {article, bootstrapping, Bubbles technique, Discrimination Learning, human, Humans, Image analysis, linear regression analysis, methodology, Models, Nonlinear Dynamics, nonlinear system, Pattern Recognition, Photic Stimulation, photostimulation, physiology, priority journal, Psychological, psychological model, reaction time, recognition, Recognition (Psychology), task performance, temporal summation, time, Time Factors, Visual, word recognition},
pubstate = {published},
tppubtype = {article}
}
We applied the Bubbles technique to reveal directly the spatio-temporal features of uppercase Arial letter identification. We asked four normal readers to each identify 26,000 letters that were randomly sampled in space and time; afterwards, we performed multiple linear regressions on the participant's response accuracy and the space-time samples. We contend that each cluster of connected significant regression coefficients is a letter feature. To bridge the gap between the letter identification literature and this experiment, we also determined the relative importance of the features proposed in the letter identification literature. Results show clear modulations of the relative importance of the letter features of some letters across time, demonstrating that letter features are not always extracted simultaneously at constant speeds. Furthermore, of all the feature classes proposed in the literature, line terminations and horizontals appear to be the two most important for letter identification. © 2008 Psychology Press, an imprint of the Taylor & Francis Group.