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Category differences in similarity between fixation density maps and psychological potential fields for sketches — arXiv:2611.06930

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.06930
License (as archived): CC0-1.0
Archived: 2026-11-06T14:44:00.784Z
SHA-256 of the archived text: 3761960baaa392765234bf533bc10d2038dfcf4f56bf81060efa7801d6cd4573
Stable URL of this page: https://metraipolis.com/documento/dc_ee05abd8a01b

How to cite

Category differences in similarity between fixation density maps and psychological potential fields for sketches — arXiv:2611.06930 — arXiv (en), https://arxiv.org/abs/2611.06930 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ee05abd8a01b (Metraipolis archive dc_ee05abd8a01b, sha256 3761960baaa392765234bf533bc10d2038dfcf4f56bf81060efa7801d6cd4573)

BibTeX

@misc{dcee05abd8a01b,
  title = {Category differences in similarity between fixation density maps and psychological potential fields for sketches — arXiv:2611.06930},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.06930},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ee05abd8a01b; sha256 3761960baaa392765234bf533bc10d2038dfcf4f56bf81060efa7801d6cd4573},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.06930. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

When an object comes into view, humans can instantaneously recognize it if known to them. However, assessing how this recognition takes place remains challenging. A few studies using simple sketches have reported varying degrees of image similarity between the fixation density map (FDM), which visualizes eye movements and durations, and the psychological potential field (PPF), which visualizes part of the visual cognition process, depending on the object category. This study reports how the similarity behaves across three categories---animal, non-animal, and meaningless shape---and under rotated presentation, which is known to increase cognitive load during object recognition. The similarity was quantified through area under the curve (AUC) measures, including a baseline-adjusted AUC that isolates the early rise in similarity from stimulus-dependent baseline levels. A variability score was introduced to assess individual differences, and linear mixed models were used to evaluate category and orientation effects. Results indicated that the baseline-adjusted AUC yielded significant differences among all three categories with large effect sizes, whereas the raw AUC did not distinguish between the animal and non-animal categories due to the influence of sketch representation. No significant Category $\times$ Orientation interaction was observed, indicating that rotated presentation did not produce a category-specific effect. The meaningless shape stimuli yielded consistently low similarity and variability scores, clearly separating them from the two meaningful object categories. These results characterize the behavior of the FDM--PPF similarity under free viewing and indicate that baseline adjustment is necessary to separate category-related variation from stimulus-dependent baseline levels.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.HC, nuovi lavori del giorno).
Categorie arXiv: Neurons and Cognition (q-bio.NC) ; Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2611.06930 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-06T14:21:27.640Z dalla pagina https://arxiv.org/list/cs.HC/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).