The influence of object similarity and orientation on object-based cueing

Hein, Elisabeth; Blaschke, Stefan; Rolke, Bettina

doi:10.3758/s13414-016-1229-x

Cited by 23 publications

(45 citation statements)

References 43 publications

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“…The finding in the present experiment raises the possibility that the region complexity effect could contribute to the object effects reported in prior research. Consistent with previous studies Chen, Humphries, & Cave, 2019;Corbett & Carrasco, 2011;Harrison & Feldman, 2009;Hein, Blaschke, & Rolke, 2017), Experiment 1 found a horizontal benefit, and the effect did not interact with either SOA or the type of region between the targets. The horizontal benefit is also in line with previous research on crowding.…”

Section: Resultssupporting

confidence: 89%

“…Consistent with previous studies ( Chen & Cave, 2019 ; Chen, Humphries, & Cave, 2019 ; Corbett & Carrasco, 2011 ; Harrison & Feldman, 2009 ; Hein, Blaschke, & Rolke, 2017 ), Experiment 1 found a horizontal benefit, and the effect did not interact with either SOA or the type of region between the targets. The horizontal benefit is also in line with previous research on crowding.…”

Section: Methodssupporting

confidence: 89%

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A region complexity effect masquerading as object-based attention

et al. 2020

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A large portion of the evidence for object-based attention comes from experiments using the two-rectangle paradigm introduced by Egly, Driver, and Rafal (1994), in which response times are longer when the two stimulus locations relevant to the task are on separate objects. In the new experiments presented here, response times are longer when the two locations are part of the same object but are separated by a concavity in the object, so that the region directly between the two locations is crossed by the object's boundaries. Response times when the two locations are separated by the concavity are not statistically different from when they are on two separate objects. The results are similar for a two-letter comparison task and for a spatial cuing task. Thus, in these experiments, the response time increase does not reflect the cost of shifting attention from object to object, because it appears when the two locations are on the same object, and it is not increased when they are on different objects. Instead, it seems to reflect the complexity of the region between the two stimulus locations. This finding raises questions about whether data from previous two-rectangle experiments should be attributed to object-based attention.

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Section: Resultssupporting

confidence: 89%

Section: Methodssupporting

confidence: 89%

A region complexity effect masquerading as object-based attention

et al. 2020

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“…is frequently reported for horizontal objects, whereas a same object cost (i.e., slower RTs to invalid locations on a cued object versus a non-cued object) has been reported for vertical objects (Al-Janabi & Greenberg, 2016;Conci & Müller, 2009;Harrison & Feldman, 2009;Hein, Blaschke, & Rolke, 2016;Pilz, Roggeveen, Creighton, Bennet, & Sekular, 2012). Our work previously investigated this dissociation by comparing the reallocation of object-based attention across the horizontal versus vertical meridian using an 'L'-shaped object (Barnas & Greenberg, 2016).…”

Section: Discussionmentioning

confidence: 94%

Object-based attention shifts are driven by target location, not object placement

Barnas

Greenberg

2019

Visual Cognition

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Object-based attention (OBA) enhances processing within an attended object. We previously found that attention shifts that crossed the visual field meridians were faster horizontally than vertically, which we named a Shift Direction Anisotropy (SDA). We aimed to determine whether the SDA depends upon attention shift meridian crossings of object boundaries, target locations, or both. Participants viewed an 'L'-shaped object and responded to a target at the cued vertex location (valid) or at non-cued object locations offset horizontally (invalid-horizontal) or vertically (invalid-vertical). In Experiment 1, object boundaries and target locations were positioned either crossing or not crossing the meridians. In Experiments 2A and 2B, object boundaries were held constant (always crossing or never crossing the meridians, respectively) while target locations were manipulated (randomly crossing or non-crossing). In Experiments 3A and 3B, target locations were held constant while object boundaries were manipulated. In Experiment 4, the object was removed to determine whether object-based or space-based attentional resources were being deployed. The SDA emerged only when target locations necessitated shifts that crossed the meridians, regardless of object placement, demonstrating that the SDA is driven by target location relative to the meridians and that OBA processes prioritize specific target locations within an object.

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“…The two rectangles were oriented horizontally and located above and below the fixation cross. Object-based effects were found to be more prominent for horizontal objects (Al-Janabi & Greenberg, 2016; Barnas & Greenberg, 2016;Hein et al, 2017;Pilz et al, 2012), therefore, only horizontal objects were included in the current study.…”

Section: Participantsmentioning

confidence: 99%

Individual differences in the temporal dynamics of attentional selection

Lou¹,

Lorist²,

Pilz³

2020

Preprint

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Attention can be focused on specific locations in our visual field (space-based attention), but also spreads along objects (object-based attention). However, object-based effects are prone to large individual differences and seem not as prevalent as previously assumed. Here we investigated whether the low prevalence of object-based effects is related to individual differences in temporal dynamics of attentional selection. We measured space- and object-based effects on reaction times for individual participants in a two-rectangle discrimination task. Cue-to-target intervals were varied between 50 and 600 ms. We used bootstrapping to investigate in which cue-to-target intervals object-based effects were maximal, and fast Fourier transform (FFT) to investigate rhythmic samplings of visual space within and between objects. Whereas overall, space-based effects were robust and stable across all cue-to-target intervals for most participants, object-based effects were small and were only found for a small subset of participants. In the frequency domain, our results confirm rhythmic patterns of visual-target detection within (8 Hz) and between objects (4 and 8 Hz). However, we found large inter-individual variability for the phase of the sampling rhythms and no consistent phase relationship. Our results show that the low-prevalence of object-based effects cannot be explained by inter-individual variability in the temporal dynamics of attentional selection, and provide further evidence for considering individual variations in developing theories of visual attention.

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The influence of object similarity and orientation on object-based cueing

Cited by 23 publications

References 43 publications

A region complexity effect masquerading as object-based attention

A region complexity effect masquerading as object-based attention

Object-based attention shifts are driven by target location, not object placement

Individual differences in the temporal dynamics of attentional selection

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