What attributes guide the deployment of visual attention and how do they do it?

The Principles of Psychology

James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876

A feature-integration theory of attention.

Treisman, A. M., & Gelade, G. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90005-5 · Cited by 12,366

Visual search and stimulus similarity.

Duncan, J. S., & Humphreys, G. (1989) · Psychology Review · doi:10.1037/0033-295x.96.3.433 · Cited by 3,919

Guided Search 2.0 A revised model of visual search

Wolfe, J. M. (1994) · Psychonomic Bulletin & Review · doi:10.3758/bf03200774 · Cited by 3,645

Selective Attention Gates Visual Processing in the Extrastriate Cortex

Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433

Feature analysis in early vision: Evidence from search asymmetries.

Treisman, A., & Gormican, S. (1988) · Psychological Review · doi:10.1037/0033-295x.95.1.15 · Cited by 2,260

Selective Attention Gates Visual Processing in the Extrastriate Cortex

Moran, J., & Desimone, R. (2003) · The MIT Press eBooks · doi:10.7551/mitpress/2834.003.0024 · Cited by 2,164

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 2,150

Abrupt visual onsets and selective attention: voluntary versus automatic allocation.

Yantis, S., & Jonides, J. (1990) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.16.1.121 · Cited by 1,468

A two-stage model for multiple target detection in rapid serial visual presentation.

Chun, M. M., & Potter, M. C. (1995) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.21.1.109 · Cited by 1,465

Reuniting Categories, Language, and Perception

Lupyan, G. (2007) · eScholarship (California Digital Library) · Cited by 21

A human-like visual-attention-based artificial vision system for wildland firefighting assistance

Madani, K., Kachurka, V., Sabourin, C., Amarger, V., Golovko, V. A., & Rossi, L. (2017) · Applied Intelligence · doi:10.1007/s10489-017-1053-6 · Cited by 21

Early Visual Processing of Feature Saliency Tasks: A Review of Psychophysical Experiments

Kamkar, S., Moghaddam, H. A., & Lashgari, R. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00054 · Cited by 21

Visual Attention Retargeting

Mateescu, V. A., & Bajić, I. V. (2015) · IEEE Multimedia · doi:10.1109/mmul.2015.59 · Cited by 21

A dataset of stereoscopic images and ground-truth disparity mimicking human fixations in peripersonal space

Canessa, A., Gibaldi, A., Chessa, M., Fato, M., Solari, F., & Sabatini, S. P. (2017) · Scientific Data · doi:10.1038/sdata.2017.34 · Cited by 21

Global feature integration based salient region detection

Lin, M., Zhang, C., & Chen, Z. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.02.050 · Cited by 20

Automaticity and cognitive control in the learned predictiveness effect.

Shone, L. T., Harris, I. M., & Livesey, E. J. (2014) · Journal of Experimental Psychology Animal Learning and Cognition · doi:10.1037/xan0000047 · Cited by 21

New approaches to the analysis of eye movement behaviour across expertise while viewing brain MRIs

Crowe, E. M., Gilchrist, I. D., & Kent, C. D. (2018) · Cognitive Research Principles and Implications · doi:10.1186/s41235-018-0097-4 · Cited by 20

What Does the Chart Say? Grouping Cues Guide Viewer Comparisons and Conclusions in Bar Charts

Xiong, C., Stokes, C., Lovett, A., & Franconeri, S. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3289292 · Cited by 20

Visualizing Trumps Vision in Training Attention

Reinhart, R. M. G., McClenahan, L. J., & Woodman, G. F. (2015) · Psychological Science · doi:10.1177/0956797615577619 · Cited by 20

Gaze in Visual Search Is Guided More Efficiently by Positive Cues than by Negative Cues

Kugler, G., Hart, B. M. ’., Kohlbecher, S., Wolfgang Einhäuser, A., & Schneider, E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145910 · Cited by 20

Rapid top‐down control over template‐guided attention shifts to multiple objects

Grubert, A., Fahrenfort, J. J., Olivers, C., & Eimer, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.039 · Cited by 36

Protecting visual short-term memory during maintenance: Attentional modulation of target and distractor representations

Vissers, M. E., Gulbinaite, R., van den Bos, T., & Slagter, H. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-03995-0 · Cited by 20

Scaling up visual attention and visual working memory to the real world

Brady, T. F., Störmer, V. S., Shafer-Skelton, A., Williams, J. R., Chapman, A. F., & Schill, H. M. (2019) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2019.03.001 · Cited by 22

An initial evaluation of the effect of a novel regional block needle with tip‐tracking technology on the novice performance of cadaveric ultrasound‐guided sciatic nerve block

McLeod, G. A., McKendrick, M., Taylor, A., Sadler, A., Halcrow, J., Mustafa, A., Seeley, J., Raju, P., & McKendrick, G. (2019) · Anaesthesia · doi:10.1111/anae.14851 · Cited by 20

Effects of an active visuomotor steering task on covert attention

Tuhkanen, S., Pekkanen, J., Lehtonen, E., & Lappi, O. (2019) · Journal of Eye Movement Research · doi:10.16910/jemr.12.3.1 · Cited by 20

Spatial and Temporal Dynamics of Attentional Guidance during Inefficient Visual Search

Zénon, A., Hamed, S. B., Duhamel, J., & Olivier, E. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002219 · Cited by 20

How to Enhance Cartographic Visualisations of Natural Hazards Assessment Results

Kunz, M., & Hurni, L. (2011) · The Cartographic Journal · doi:10.1179/1743277411y.0000000001 · Cited by 20

A change of task prolongs early processes: Evidence from ERPs in lexical tasks.

Elchlepp, H., Lavric, A., & Monsell, S. (2015) · Journal of Experimental Psychology General · doi:10.1037/a0038740 · Cited by 20

Frontoparietal activation during visual conjunction search: Effects of bottom‐up guidance and adult age

Madden, D. J., Parks, E. L., Tallman, C. W., Boylan, M. A., Hoagey, D. A., Cocjin, S. B., Johnson, M. A., Chou, Y., Potter, G. G., Chen, N., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23509 · Cited by 21

Development and evaluation of a human machine interface to support mode awareness in different automated driving modes

Tinga, A. M., van Zeumeren, I. M., Christoph, M., van Grondelle, E. D., Cleij, D., Aldea, A., & van Nes, N. (2022) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2022.10.023 · Cited by 19

Immersive virtual reality gameplay detects visuospatial atypicality, including unilateral spatial neglect, following brain injury: a pilot study

Painter, D. R., Norwood, M. F., Marsh, C. H., Hine, T. J., Harvie, D. S., Libera, M., Bernhardt, J. A., Gan, L., & Zeeman, H. (2023) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01283-9 · Cited by 18

Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency

Bruce, N. D. B., & Tsotsos, J. K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-00582-4_8 · Cited by 20

The Effect of Attentional Cueing and Spatial Uncertainty in Visual Field Testing

Phu, J., Kalloniatis, M., & Khuu, S. K. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150922 · Cited by 20

Feature- and category-specific attentional control settings are differently affected by attentional engagement in contingent attentional capture

Wu, X., Liu, X., & Fu, S. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.04.065 · Cited by 20

Proving the value of visual design in scientific communication

Cheng, K., Chen, Y., Larson, K., & Rolandi, M. (2017) · Information Design Journal · doi:10.1075/idj.23.1.09che · Cited by 19

Does pre-activating domain knowledge foster elaborated online information search strategies? Comparisons between young and old web user adults

Sanchiz, M., Amadieu, F., Fu, W. T., & Chevalier, A. (2018) · Applied Ergonomics · doi:10.1016/j.apergo.2018.10.010 · Cited by 19

Attention and long-term memory: Bidirectional interactions and their effects on behavior

Hannula, D. E. (2018) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2018.09.004 · Cited by 23

Human–Machine Interface Design for Monitoring Safety Risks Associated with Operating Small Unmanned Aircraft Systems in Urban Areas

Friedrich, M., & Vollrath, M. (2021) · Aerospace · doi:10.3390/aerospace8030071 · Cited by 19

Attentional guidance relies on a winner-take-all mechanism

Zénon, A., Hamed, S. B., Duhamel, J., & Olivier, E. (2009) · Vision Research · doi:10.1016/j.visres.2009.03.010 · Cited by 19

Subliminal stimuli in the near absence of attention influence top-down cognitive control

Rahnev, D., Huang, E., & Lau, H. C. (2011) · Attention Perception & Psychophysics · doi:10.3758/s13414-011-0246-z · Cited by 19

FastShrinkage

Liu, Z., Wang, Z., Zhang, L., Shah, R. R., Xia, Y., Yang, Y., & Li, X. (2017) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3123266.3123377 · Cited by 18

Designing for serendipity in online knowledge communities: An investigation of tag presentation formats and openness to experience

Qin, C., Liu, Y., Ma, X., Chen, J., & Liang, H. (2022) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24640 · Cited by 18

Salience from the decision perspective: You know where it is before you know it is there

Zehetleitner, M., & Müller, H. J. (2010) · Journal of Vision · doi:10.1167/10.14.35 · Cited by 18

Cross-modal associations between vision, touch, and audition influence visual search through top-down attention, not bottom-up capture

Orchard-Mills, E., Alais, D., & der Burg, E. V. (2013) · Attention Perception & Psychophysics · doi:10.3758/s13414-013-0535-9 · Cited by 20

Redundancy gains in pop-out visual search are determined by top-down task set: Behavioral and electrophysiological evidence

Grubert, A., Krummenacher, J., & Martin Eimer, A. (2011) · Journal of Vision · doi:10.1167/11.14.10 · Cited by 18

Saccadic repulsion in pop-out search: How a target's dodgy history can push the eyes away from it

Caddigan, E., & Lleras, A. (2010) · Journal of Vision · doi:10.1167/10.14.9 · Cited by 17

Using Eye Tracking to Explore the Guidance and Constancy of Visual Variables in 3D Visualization

Liu, B., Dong, W., & Meng, L. (2017) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi6090274 · Cited by 18

Differential Processing of Isolated Object and Multi-item Pop-Out Displays in LIP and PFC

Meyers, E. M., Liang, A., Katsuki, F., & Constantinidis, C. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx243 · Cited by 18

Influences of Identified Victim Images on Processing Fluency

Bae, M. (2018) · Journal of Nonprofit & Public Sector Marketing · doi:10.1080/10495142.2018.1526740 · Cited by 18

Deficits of visual search in Chinese children with dyslexia

Liu, S., Wang, L., & Liu, D. (2019) · Journal of Research in Reading · doi:10.1111/1467-9817.12277 · Cited by 18

Memory-driven capture occurs for individual features of an object

Sasin, E., & Fougnie, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-76431-5 · Cited by 15

Responses of Tectal Neurons to Contrasting Stimuli: An Electrophysiological Study in the Barn Owl

Zahar, Y., Wagner, H., & Gutfreund, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039559 · Cited by 18

Multiple representations in visual working memory simultaneously guide attention: The type of memory-matching representation matters

Fan, L., Sun, M., Xu, M., Li, Z., Diao, L., & Zhang, X. (2018) · Acta Psychologica · doi:10.1016/j.actpsy.2018.11.005 · Cited by 18

The magnitude of binocular disparity modulates search time for targets defined by a conjunction of depth and colour.

de la Rosa, S., Moraglia, G., & Schneider, B. A. (2008) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/1196-1961.62.3.150 · Cited by 18

Visual search for schematic emotional faces risks perceptual confound

Mak‐Fan, K. M., Thompson, W. F., & Green, R. (2010) · Cognition & Emotion · doi:10.1080/02699931.2010.500159 · Cited by 17

Influence of Visual Salience on Webpage Product Searches

Still, J. D., & Still, M. L. (2019) · ACM Transactions on Applied Perception · doi:10.1145/3301413 · Cited by 17

Ingroup and outgroup differences in face detection

Prunty, J. E., Jenkins, R., Qarooni, R., & Bindemann, M. (2022) · British Journal of Psychology · doi:10.1111/bjop.12588 · Cited by 18

Automatic, Early Color-Specific Neural Responses to Object Color Knowledge

Retter, T. L., Gao, Y., Jiang, F., Rossion, B., & Webster, M. A. (2023) · Brain Topography · doi:10.1007/s10548-023-00979-4 · Cited by 17

The informational role of imagery in financial decision making: A new approach

Ronen, J., Ronen, T., Zhou, M., & Gans, S. E. (2023) · Journal of Behavioral and Experimental Finance · doi:10.1016/j.jbef.2023.100851 · Cited by 22

No Prior Entry for Threat-Related Faces: Evidence from Temporal Order Judgments

Schettino, A., Loeys, T., & Pourtois, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062296 · Cited by 17

Collinearity impairs local element visual search.

Jingling, L., & Tseng, C. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0027325 · Cited by 17

Distraction and target selection in the brain: An fMRI study

Akyürek, E. G., Vallines, I., Lin, E.-J., & Schubö, A. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.07.019 · Cited by 19

There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task

Miconi, T., Groomes, L., & Kreiman, G. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv129 · Cited by 17

Automatic high-speed video glottis segmentation using salient regions and 3D geodesic active contours

Schenk, F., Aichinger, P., Roesner, I., & Urschler, M. (2015) · ResearchSpace (University of Auckland) · Cited by 17

Predicting Search Performance in Heterogeneous Scenes: Quantifying the Impact of Homogeneity Effects in Efficient Search

Lleras, A., Wang, Z., Madison, A., & Buetti, S. (2019) · Collabra Psychology · doi:10.1525/collabra.151 · Cited by 17

Co-designing engaging and accessible data visualisations: a case study of the IPCC reports

Morelli, A., Johansen, T. G., Pidcock, R., Harold, J., Pirani, A., Gomis, M., Lorenzoni, I., Haughey, E., & Coventry, K. (2021) · Climatic Change · doi:10.1007/s10584-021-03171-4 · Cited by 13

Visual attention paid to negative comments in cause-related posts: visual style and emotionality matter

Badenes‐Rocha, A., Bigne, E., & Mafé, C. R. (2022) · International Journal of Advertising · doi:10.1080/02650487.2022.2071394 · Cited by 17

Evolving an Artificial Visual Cortex for Object Recognition with Brain Programming

Gustavo Olague, A., Clemente, E., Dozal, L., & Hernández, D. E. (2013) · Studies in computational intelligence · doi:10.1007/978-3-319-01460-9_5 · Cited by 18

Selection of a best metric and evaluation of bottom-up visual saliency models

Emami, M., & Hoberock, L. L. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2013.08.004 · Cited by 17

Independent dimension-weighting mechanisms for visual selection and stimulus identification.

Rangelov, D., Müller, H. J., & Zehetleitner, M. (2011) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0024265 · Cited by 17

Computational methods for eye-tracking analysis: applications to autism

Scassellati, B. M., & Shic, F. (2008) · Cited by 17

Visual Search for Type of Motion is Based on Simple Motion Primitives

Horowitz, T. S., Wolfe, J. M., DiMase, J. S., & Klieger, S. B. (2007) · Perception · doi:10.1068/p5683 · Cited by 17

Towards a Human-like Vision System for Resource-Constrained Intelligent Cars

Michalke, T. P., Gepperth, A., Schneider, M., Fritsch, J., & Goerick, C. (2019) · TUbilio (Technical University of Darmstadt) · doi:10.2390/biecoll-icvs2007-2 · Cited by 17

The angry versus happy recognition advantage: the role of emotional and physical properties

Barros, F., Soares, S. C., Rocha, M., Bem‐Haja, P., Silva, S., & Lundqvist, D. (2022) · Psychological Research · doi:10.1007/s00426-022-01648-0 · Cited by 16

Multisensory integration effect of humanoid robot appearance and voice on users’ affective preference and visual attention

Li, M., Guo, F., Fang, C., & Li, F. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2125830 · Cited by 17

Search mode, not the attentional window, determines the magnitude of attentional capture

Kerzel, D., & Cong, S. H. (2022) · Attention Perception & Psychophysics · doi:10.3758/s13414-022-02582-4 · Cited by 17

Feature-Specific Salience Maps in Human Cortex

Thayer, D. D., & Sprague, T. C. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1104-23.2023 · Cited by 16

Feature selection using visual saliency for content-based image retrieval

Zdziarski, Z., & Dahyot, R. (2012) · Irish Signals and Systems Conference · doi:10.1049/ic.2012.0194 · Cited by 16

Task-dependent sensitisation of perceptual and semantic processing during visual search for words

Dampuré, J., Ros, C., Rouet, J., & Vibert, N. (2014) · Journal of Cognitive Psychology · doi:10.1080/20445911.2014.907576 · Cited by 16

Detection of convexity and concavity in context.

Bertamini, M. (2008) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.34.4.775 · Cited by 16

Visual saliency on networks of neurosynaptic cores

Andreopoulos, A., Taba, B., Cassidy, A. S., Alvarez-Icaza, R., Flickner, M., Risk, W. P., Amir, A., Merolla, P. A., Arthur, J. V., Berg, D. J., et al. (2015) · IBM Journal of Research and Development · doi:10.1147/jrd.2015.2400251 · Cited by 16

A Visual Information Processing Model to Characterize Interactive Visualization Environments

Jun, E., Landry, S. J., & Salvendy, G. (2011) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2011.540491 · Cited by 16

The effects of target location and target distinction on visual search in a depth display

Reis, G. A., Liu, Y., Havig, P. R., & Heft, E. L. (2009) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-009-0280-z · Cited by 16

Analysis of Temporal Relationships between Eye Gaze and Peripheral Vehicle Behavior for Detecting Driver Distraction

Hirayama, T., Mase, K., & Takeda, K. (2013) · International Journal of Vehicular Technology · doi:10.1155/2013/285927 · Cited by 16

Visual saliency detection using information contents weighting

Duan, Q., Akram, T., Duan, P., & Wang, X. (2016) · Optik · doi:10.1016/j.ijleo.2016.05.027 · Cited by 16

Category-based guidance of spatial attention during visual search for feature conjunctions.

Nako, R., Grubert, A., & Martin Eimer, A. (2016) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000244 · Cited by 16

Binocularity and visual search—Revisited

Zou, B., Utochkin, I., Liu, Y., & Wolfe, J. M. (2016) · Attention Perception & Psychophysics · doi:10.3758/s13414-016-1247-8 · Cited by 16

Primate Visual Perception: Motivated Attention in Naturalistic Scenes

Frank, D. W., & Sabatinelli, D. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00226 · Cited by 16

Web page attentional priority model

Still, J. D. (2017) · Cognition Technology & Work · doi:10.1007/s10111-017-0411-9 · Cited by 16

Behavioral Evidence and Neural Correlates of Perceptual Grouping by Motion in the Barn Owl

Zahar, Y., Lev-Ari, T., Wagner, H., & Gutfreund, Y. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0174-18.2018 · Cited by 16

Attention in Urban and Natural Environments.

White, H. A., & Shah, P. (2019) · Europe PMC (PubMed Central) · Cited by 15

Event-driven proto-object based saliency in 3D space to attract a robot’s attention

Ghosh, S., D'Angelo, G. V., Glover, A., Iacono, M., Niebur, E., & Bartolozzi, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-11723-6 · Cited by 16

Designing Noticeable Bricklets by Tracking Users' Eye Movements

Djamasbi, S., Siegel, M., & Tullis, T. (2012) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2012.200 · Cited by 16

Identification of partially occluded map symbols

Korpi, J., Haybatollahi, M., & Ahonen‐Rainio, P. (2014) · Cartographic Perspectives · doi:10.14714/cp76.59 · Cited by 16

Conceptually coherent categories support label-based inductive generalization in preschoolers

Booth, A. E. (2014) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2014.01.007 · Cited by 16

Visual search for transparency and opacity: Attentional guidance by cue combination?

Wolfe, J. M., Birnkrant, R. S., Kunar, M. A., & Horowitz, T. S. (2005) · Journal of Vision · doi:10.1167/5.3.9 · Cited by 16

Visual motherese? Signal‐to‐noise ratios in toddler‐directed television

Wass, S. V., & Smith, T. J. (2014) · Developmental Science · doi:10.1111/desc.12156 · Cited by 15

Blur detection is unaffected by cognitive load

Loschky, L. C., Ringer, R. V., Johnson, A. P., Larson, A. M., Neider, M. B., & Kramer, A. F. (2014) · Visual Cognition · doi:10.1080/13506285.2014.884203 · Cited by 17

Consolidation of visuomotor adaptation memory with consistent and noisy environments

Maeda, R. S., McGee, S. E., & Marigold, D. S. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00178.2016 · Cited by 16

Components of Attention in Grapheme-Color Synesthesia: A Modeling Approach

Ásgeirsson, Á. G., Nordfang, M., & Sørensen, T. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134456 · Cited by 18

Modeling of Situation Awareness Supported by Advanced Flight Deck Displays

Wickens, C. D., Sebok, A. L., Bagnall, T., & Kamienski, J. (2007) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120705101204 · Cited by 16

Attentional spreading to task-irrelevant object features: experimental support and a 3-step model of attention for object-based selection and feature-based processing modulation

Wegener, D., Galashan, F. O., Aurich, M. K., & Kreiter, A. K. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00414 · Cited by 15

A novel approach to reconstruction based saliency detection via convolutional neural network stacked with auto-encoder

Lin, X., Tang, Y. S., Tianfield, H., Qian, F., & Zhong, W. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.01.041 · Cited by 15

Visual search inverts the classic Stroop asymmetry

Sobel, K. V., Puri, A., & York, A. K. (2020) · Acta Psychologica · doi:10.1016/j.actpsy.2020.103054 · Cited by 15

Research on spatial information transmission efficiency and capability of safety evacuation signs

Fan, R., Dai, Z., Tian, S., Xia, T., & Huang, C. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.106448 · Cited by 15

Moving beyond an Addiction Framework for Phubbing: Unraveling the Influence of Intrinsic Motivation, Boredom, and Online Vigilance

Duradoni, M., Raimondi, T., Buttà, F., & Guazzini, A. (2023) · Human Behavior and Emerging Technologies · doi:10.1155/2023/6653652 · Cited by 21

Methodology for Assessing Spatial Perception in Martial Arts

Romanenko, V., Cynarski, W. J., Tropin, Y., Kovalenko, Y., Korobeynikov, G., Piatysotska, S., Mikhalskyi, V., Голоха, В. Л., & Gaziyev, S. (2025) · Applied Sciences · doi:10.3390/app15063413 · Cited by 31

Fusing Color and Shape for Bag-of-Words Based Object Recognition

van de Weijer, J., & Khan, F. S. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-36700-7_3 · Cited by 15

A superpixel-based CRF saliency detection approach

Qiu, W., Gao, X., & Han, B. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.03.016 · Cited by 15

Contextual deployment of attention in driving

Shinoda, H., Hayhoe, M., Shrivastava, A., & Ballard, D. H. (2000) · Vision Science and its Applications (VSIA) · doi:10.1364/vsia.2000.fb3

Mechanisms Underpinning Conspicuity

Underwood, G. (2017) · CRC Press eBooks · doi:10.1201/9781315588254-7

Feature-based attentional set as a cause of traffic accidents

Most, S. B., & Astur, R. S. (2006) · Visual Cognition · doi:10.1080/13506280600959316 · Cited by 113

Attentional Factors in Driving

HOLE, G. J. (2014) · doi:10.4324/9781315805627-9

Introduction

Gibson, B. S., Folk, C. L., Theeuwes, J., & Kingstone, A. F. (2008) · Visual Cognition · doi:10.1080/13506280701843708 · Cited by 3