Michael Grubb
Assistant Professor AdjunctCards
About
Research
Publications
2024
Individual differences in information demand have a low dimensional structure predicted by some curiosity traits
Jach H, Cools R, Frisvold A, Grubb M, Hartley C, Hartmann J, Hunter L, Jia R, de Lange F, Larisch R, Lavelle-Hill R, Levy I, Li Y, van Lieshout L, Nussenbaum K, Ravaioli S, Wang S, Wilson R, Woodford M, Murayama K, Gottlieb J. Individual differences in information demand have a low dimensional structure predicted by some curiosity traits. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2415236121. PMID: 39467138, PMCID: PMC11551435, DOI: 10.1073/pnas.2415236121.Peer-Reviewed Original ResearchConceptsCognitive tasksPersonality trait measuresTraits of opennessCuriosity traitsPersonality psychologyEmotional processingPersonality measuresPersonality traitsTrait measuresAssociated with curiosityCuriosity measuresIndividual differencesTested multiple aspectsJoyous explorationCognitive scienceDeprivation sensitivityHuman learningPersonsTraitsTaskDimensional structureInformation demandPersonality metricsMultiple aspectsPsychologyDeep Learning and visual search: Using raw eye movement data, convolutional neural networks generate target-location predictions in line with experimental manipulations
Crotty N, Massa N, Grubb M. Deep Learning and visual search: Using raw eye movement data, convolutional neural networks generate target-location predictions in line with experimental manipulations. Journal Of Vision 2024, 24: 951. DOI: 10.1167/jov.24.10.951.Peer-Reviewed Original ResearchManipulating the reliability of target-color information modulates value-driven attentional capture
Massa N, Crotty N, Levy I, Grubb M. Manipulating the reliability of target-color information modulates value-driven attentional capture. Attention, Perception, & Psychophysics 2024, 86: 1108-1119. PMID: 38538947, PMCID: PMC11093855, DOI: 10.3758/s13414-024-02878-7.Peer-Reviewed Original Research