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Detecting conjunctions of color and form: Reassessing the serial search hypothesis
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Cited by
Guided search: An alternative to the feature integration model for visual search.
Wolfe, J. M., Cave, K. R., & Franzel, S. L. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.15.3.419 · Cited by 2,147
Emotion drives attention: Detecting the snake in the grass.
Öhman, A., Flykt, A., & Esteves, F. (2001) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.130.3.466 · Cited by 2,542
Deictic codes for the embodiment of cognition
Ballard, D. H., Hayhoe, M. M., Pook, P. K., & Rao, R. P. N. (1997) · Behavioral and Brain Sciences · doi:10.1017/s0140525x97001611 · Cited by 1,082
Saliency, attention, and visual search: An information theoretic approach
Bruce, N. D. B., & Tsotsos, J. K. (2009) · Journal of Vision · doi:10.1167/9.3.5 · Cited by 855
Understanding the Impact of Time Pressure and Automation Support in a Visual Search Task
Rieger, T., & Manzey, D. (2024) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208221111236 · Cited by 40
Metadata
- Authors
- Pashler, H.
- Venue
- Perception & Psychophysics
- Published
- 1987-05
- Volume
- 41
- Issue
- 3
- Pages
- 191-201
- ISSN
- 0031-5117 (ISSN-L)
- 1532-5962
- OpenAlex
- W2065491820
- Cited by
- 240
- References
- 0
- FWCI
- 9.99
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Detecting conjunctions of color and form: Reassessing the serial search hypothesis. https://app.cochat.ai/papers/10.3758/bf03208218
- The paper
- Pashler, H. (1987). Detecting conjunctions of color and form: Reassessing the serial search hypothesis. Perception & Psychophysics. https://doi.org/10.3758/bf03208218
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.