Attention To Cues Research Articles

The self-consistency effect seen on the Dot Perspective Task is a product of domain-general attention cueing, not automatic perspective taking

It has been proposed that humans automatically compute the visual perspective of others. Evidence for this view comes from the Dot Perspective Task. In this task, participants view a room in which a human actor is depicted, looking either leftwards or rightwards. Dots can appear on either the left wall of the room, the right wall, or both. At the start of each trial, participants are shown a number. Their speeded task is to decide whether the number of dots visible matches the number shown. On consistent trials the participant and the actor can see the same number of dots. On inconsistent trials, the participant and the actor can see a different number of dots. Participants respond faster on consistent trials than on inconsistent trials. This self-consistency effect is cited as evidence that participants compute the visual perspective of others automatically, even when it impedes their task performance. According to a rival interpretation, however, this effect is a product of attention cueing: slower responding on inconsistent trials simply reflects the fact that participants' attention is directed away from some or all of the to-be-counted dots. The present study sought to test these rival accounts. We find that desk fans, a class of inanimate object known to cue attention, also produce the self-consistency effect. Moreover, people who are more susceptible to the effect induced by fans tend to be more susceptible to the effect induced by human actors. These findings suggest that the self-consistency effect is a product of attention cueing.

Can arrows change the subjective perception of space? Exploring symbolic attention repulsion.

The attention repulsion effect (ARE) refers to distortions in the perception of space for areas near the focus of attention. For instance, when attending to the right-hand side of the visual field, objects in central vision may appear as though they are shifted to the left. The phenomenon is likely caused by changes in visual cell functioning. To date, research on the ARE has almost exclusively used exogenous manipulations of attention. In contrast, research exploring endogenous attention repulsion has been mixed, and no research has explored the effects of nonpredictive arrow cues on this phenomenon. This gap in the literature is unexpected, as symbolic attention appears to be a unique form of attentional orienting compared with endogenous and exogenous attention. Therefore, this study explored the effects of symbolic orienting on spatial repulsion and compared it with an exogenously generated ARE. Across four experiments, both exogenous and symbolic orienting resulted in AREs; however, the magnitude of the symbolic ARE was smaller than the exogenous ARE. This difference in magnitude persisted, even after testing both phenomena using stimulus timing parameters known to produce optimal effects in traditional attentional cueing paradigms. Therefore, compared with symbolic attention, it appears that exogenous manipulations may tightly constrict attention resources on the cued location, in turn, potentially influencing the functioning of visual cells for enhanced perceptual processing.

Elements of exogenous attentional cueing preserved during optokinetic motion of the visual scene.

Navigating through our environment raises challenges for perception by generating salient background visual motion and eliciting prominent eye movements to stabilise the retinal image. It remains unclear if exogenous spatial attentional orienting is possible during background motion and the eye movements it causes and whether this compromises the underlying neural processing. To test this, we combined exogenous orienting, visual scene motion, and electroencephalography (EEG). A total of 26 participants viewed a background of moving black and grey bars (optokinetic stimulation). We tested for effects of non-spatially predictive peripheral cueing on visual motion discrimination of a target dot, presented either at the same (valid) or opposite (invalid) location as the preceding cue. Valid cueing decreased reaction times not only when participants kept their gaze fixed on a central point (fixation blocks) but also even when there was no fixation point, so that participants performed intensive, repetitive tracking eye movements (eye movement blocks). Overall, manual response reaction times were slower during eye movements. Cueing also produced reliable effects on neural activity on either block, including within the first 120 ms of neural processing of the target. The key pattern with larger event-related potential (ERP) amplitudes on invalid versus valid trials showed that the neural substrate of exogenous cueing was highly similar during eye movements or fixation. Exogenous peripheral cueing and its neural correlates are robust against distraction from the moving visual scene, important for perceptual cognition during navigation.

Combined TMS-fMRI reveals behavior-dependent network effects of right temporoparietal junction neurostimulation in an attentional belief updating task.

Updating beliefs after unexpected events is fundamental for an optimal adaptation to the environment. Previous findings suggested a causal involvement of the right temporoparietal junction (rTPJ) in belief updating in an attention task. We combined offline continuous theta-burst stimulation (cTBS) over rTPJ with functional magnetic resonance imaging (fMRI) to investigate local and remote stimulation effects within the attention and salience networks. In a sham-controlled, within-subject crossover design, 25 participants performed an attentional cueing task during fMRI with true or false information about cue predictability. By estimating learning rates from response times, we characterized participants' belief updating. Model-derived cue predictability entered the fMRI analysis as a parametric regressor to identify the neural correlates of updating. rTPJ-cTBS effects showed high interindividual variability. The expected learning rate reduction with false cue predictability information by cTBS was only observed in participants showing higher updating in false than in true blocks after sham. cTBS modulated the neural signatures of belief updating, both in rTPJ and in nodes of the attention and salience networks. The interindividual variability of the behavioral cTBS effect was related to differential activity and rTPJ connectivity of the right anterior insula. These results demonstrate a crucial interaction between ventral attention and salience networks for belief updating.

Sustained visual attention improves visuomotor timing.

Relative to audition, vision is considered much less trustworthy in sensorimotor timing such as synchronizing finger movements with a temporally regular sequence. Visuomotor timing requires maintaining attention over time, whereas the sustained visual attention may not be well held in conventional visuomotor timing task settings where flashing visual stimuli consisted of a briefly presented flash and a long blank period. In the present study, the potential attentional lapses in time due to the disappearance of the flash were carefully controlled in Experiment 1 by changing the color of the flash instead of its disappearance, or in Experiment 2 by adding an additional continuously presented fixation point serving as an external attentional cue when the flash disappeared. Improvement of visuomotor timing performance was found in both experiments. The finding suggests a role of enhanced sustained visual attention in improving visuomotor timing, by which vision could also be a trustworthy modality for processing temporal information in sensorimotor interactions.

The Distance Effect of Attentional Focusing Cues as a Function of Practice and Cognitive Load in a Bimanual Coordination Task

The Distance Effect of Attentional Focusing Cues as a Function of Practice and Cognitive Load in a Bimanual Coordination Task

Dense Attention-Guided Cascaded Network for Salient Object Detection of Strip Steel Surface Defects

Recently, more and more researchers have paid attention to the surface defect detection of strip steel. However, the performance of existing methods usually fails to detect the defect regions from some complex scenes, especially with the noise disturbance and diverse defect types. Therefore, this article proposes an end-to-end dense attention-guided cascaded network (DACNet) to detect salient objects (i.e., defects) on the strip steel surface, where the proposed DACNet is a U-shape network including an encoder and a decoder. The encoder first deploys multiresolution convolutional branches (i.e., high/medium/low) in a cascaded way. Concretely, the cascaded feature integration (CFI) unit fuses the deep features from the last convolutional blocks of multiresolution branches, yielding the enhanced high-level deep semantic feature. Subsequently, coupled with the multilevel deep features from high-resolution branch, the new multiscale deep features are capable of characterizing various defects. Then, driven by the dense attention mechanism which enables the deeper attention cues flow into decoding stages, the decoder progressively integrates the multiscale deep features into the final saliency map, where the dense attention is designed to steer deep features pay more concerns to the defect regions. Comprehensive experiments are conducted on the public strip steel datasets, and the experimental results demonstrate that our model consistently outperforms the state-of-the-art models in all evaluation metrics.

Differential Effects of Endogenous and Exogenous Attention on Sensory Tuning.

Covert spatial attention (without concurrent eye movements) improves performance in many visual tasks (e.g., orientation discrimination and visual search). However, both covert attention systems-endogenous (voluntary) and exogenous (involuntary)-exhibit differential effects on performance in tasks mediated by spatial and temporal resolution suggesting an underlying mechanistic difference. We investigated whether these differences manifest in sensory tuning by assessing whether and how endogenous and exogenous attention differentially alter the representation of two basic visual dimensions-orientation and spatial frequency (SF). The same human observers detected a grating embedded in noise in two separate experiments (with endogenous or exogenous attention cues). Reverse correlation was used to infer the underlying neural representation from behavioral responses, and we linked our results to established neural computations via a normalization model of attention. Both endogenous and exogenous attention similarly improved performance at the attended location by enhancing the gain of all orientations without changing tuning width. In the SF dimension, endogenous attention enhanced the gain of SFs above and below the target SF, whereas exogenous attention only enhanced those above. Additionally, exogenous attention shifted peak sensitivity to SFs above the target SF, whereas endogenous attention did not. Both covert attention systems modulated sensory tuning via the same computation (gain changes). However, there were differences in the strength of the gain. Compared with endogenous attention, exogenous attention had a stronger orientation gain enhancement but a weaker overall SF gain enhancement. These differences in sensory tuning may underlie differential effects of endogenous and exogenous attention on performance.SIGNIFICANCE STATEMENT Covert spatial attention is a fundamental aspect of cognition and perception that allows us to selectively process and prioritize incoming visual information at a given location. There are two types: endogenous (voluntary) and exogenous (involuntary). Both typically improve visual perception, but there are instances where endogenous improves perception but exogenous hinders perception. Whether and how such differences extend to sensory representations is unknown. Here we show that both endogenous and exogenous attention mediate perception via the same neural computation-gain changes-but the strength of the orientation gain and the range of enhanced spatial frequencies depends on the type of attention being deployed. These findings reveal that both attention systems differentially reshape the tuning of features coded in striate cortex.

The influence of attentional biases on multiple working memory precision parameters for children and adults.

Working memory (WM) improves dramatically during childhood but what drives this improvement is not well understood. One influential account thus far has proposed a simple increase in storage capacity. However, recent findings have shown that multiple factors, such as differences in the ability to use attention to enhance the maintenance of internal representations, as well as changes in WM precision, also interact in influencing age-related differences in WM capacity. We aimed to examine whether and how the developing ability to orient attention retrospectively to internal representations influences WM precision. To do so, we employed a paradigm that combined the continuous-recall WM task with the partial-cueing report task. Specifically, 7-year-olds and young adults were asked to reproduce the colour of a probe item in a colour wheel. The initial memory array, which included the probe item, could be followed by a spatial cue that directed participants' attention to a location in the memory array (a 'retro-cue'). Results showed that attentional biases engendered by retro-cues facilitated overall precision compared to uncued baseline performance, for both age groups, although to a smaller degree in 7-year-olds compared to adults. Importantly, investigation of modelling parameters suggested that children demonstrate lower representational quality of items in WM but that spatial attentional cues improve overall precision by increasing the probability of target storage, maintenance and recall, and by reducing misbinding errors as well as random guessing, not by changing representational quality. These results add significantly to our knowledge on the relation between retrospective attention and WM development.

Top-down, bottom-up, and history-driven processing of multisensory attentional cues in intellectual disability: An experimental study in virtual reality

Models of attention demonstrated the existence of top-down, bottom-up, and history-driven attentional mechanisms, controlled by partially segregated networks of brain areas. However, few studies have examined the specific deficits in those attentional mechanisms in intellectual disability within the same experimental setting. The aim of the current study was to specify the attentional deficits in intellectual disability in top-down, bottom-up, and history-driven processing of multisensory stimuli, and gain insight into effective attentional cues that could be utilized in cognitive training programs for intellectual disability. The performance of adults with mild to moderate intellectual disability (n = 20) was compared with that of typically developing controls (n = 20) in a virtual reality visual search task. The type of a spatial cue that could aid search performance was manipulated to be either endogenous or exogenous in different sensory modalities (visual, auditory, tactile). The results identified that attentional deficits in intellectual disability are overall more pronounced in top-down rather than in bottom-up processing, but with different magnitudes across cue types: The auditory or tactile endogenous cues were much less effective than the visual endogenous cue in the intellectual disability group. Moreover, the history-driven processing in intellectual disability was altered, such that a reversed priming effect was observed for immediate repetitions of the same cue type. These results suggest that the impact of intellectual disability on attentional processing is specific to attentional mechanisms and cue types, which has theoretical as well as practical implications for developing effective cognitive training programs for the target population.

Effects of post‐response arousal on cognitive control: Adaptive or maladaptive?

This study investigated whether detection of a performance mistake is followed by adaptive or detrimental effects on subsequent attention and performance. Using a Stroop task with spatial cueing, along with simultaneous EEG and pupillary measurements, we examined evidence bearing on two alternative hypotheses: maladaptive arousal and adaptive control. Error detection, indexed by the error-related negativity ERP component, was followed by pupil dilation and suppression of EEG oscillations in the alpha band, two indices of arousal that were associated with one another on a trial-by-trial basis. On the trials following errors, there was neural evidence of enhanced spatial cueing, manifested in greater hemispheric activation contralateral to the cued visual field. However, this post-error enhancement was not followed by changes in Stroop or spatial cueing effects in performance, nor by increased attentional cueing effects in ERP responses to targets. Rather, performance tended to be slower and less accurate following errors compared to correct trials, and higher post-response arousal, indexed by larger pupils, predicted next-trial slowing and decreased P2 amplitude to targets. Results favor the maladaptive arousal account of post-error cognitive control and offer only limited support for adaptive control.

Visual Attention and Color Cues for 6D Pose Estimation on Occluded Scenarios Using RGB-D Data.

Recently, 6D pose estimation methods have shown robust performance on highly cluttered scenes and different illumination conditions. However, occlusions are still challenging, with recognition rates decreasing to less than 10% for half-visible objects in some datasets. In this paper, we propose to use top-down visual attention and color cues to boost performance of a state-of-the-art method on occluded scenarios. More specifically, color information is employed to detect potential points in the scene, improve feature-matching, and compute more precise fitting scores. The proposed method is evaluated on the Linemod occluded (LM-O), TUD light (TUD-L), Tejani (IC-MI) and Doumanoglou (IC-BIN) datasets, as part of the SiSo BOP benchmark, which includes challenging highly occluded cases, illumination changing scenarios, and multiple instances. The method is analyzed and discussed for different parameters, color spaces and metrics. The presented results show the validity of the proposed approach and their robustness against illumination changes and multiple instance scenarios, specially boosting the performance on relatively high occluded cases. The proposed solution provides an absolute improvement of up to 30% for levels of occlusion between 40% to 50%, outperforming other approaches with a best overall recall of 71% for the LM-O, 92% for TUD-L, 99.3% for IC-MI and 97.5% for IC-BIN.

Effects of temporal and spatiotemporal cues on detection of dynamic road hazards

While driving, dangerous situations can occur quickly, and giving drivers extra time to respond may make the road safer for everyone. Extensive research on attentional cueing in cognitive psychology has shown that targets are detected faster when preceded by a spatially valid cue, and slower when preceded by an invalid cue. However, it is unknown how these standard laboratory-based cueing effects may translate to dynamic, real-world situations like driving, where potential targets (i.e., hazardous events) are inherently more complex and variable. Observers in our study were required to correctly localize hazards in dynamic road scenes across three cue conditions (temporal, spatiotemporal valid and spatiotemporal invalid), and a no-cue baseline. All cues were presented at the first moment the hazardous situation began. Both types of valid cues reduced reaction time (by 58 and 60 ms, respectively, with no significant difference between them, a larger effect than in many classic studies). In addition, observers’ ability to accurately localize hazards dropped 11% in the spatiotemporal invalid condition, a result with dangerous implications on the road. This work demonstrates that, in spite of this added complexity, classic cueing effects persist—and may even be enhanced—for the detection of real-world hazards, and that valid cues have the potential to benefit drivers on the road.

Effects of an expert-modeled attentional focus cue structure on skilled jump rope performance and learning.

Instructions that direct attention externally have been shown to enhance motor performance. However, research on skilled performers and on learning effects has produced some distinct findings. Further, many studies have presented an overly simplistic view of attention and learning, such that all-internal focus protocols are contrasted with all-external focus protocols. Contrary to this approach, skilled performers have reported adopting combined focus strategies, revealing the need to test more realistic instructional protocols. The current study provided an experimental test of focus instructions that were modeled after the strategies of elite jump rope athletes. Four groups of skilled jump rope athletes practiced novel skills under various focus instructions. The internal focus (IF) and external focus (EF) groups were given traditional internal and external focus instructions, respectively. The expert modeled (EM) group was given a set of instructions that were based on experts' reported focus strategies. The expert modeled-autonomous (EM-A) group was allowed to choose how they used each of the expert-modeled instructions. All groups completed a baseline assessment, four practice sessions, and a learning assessment. Results of a chi-square test of independence revealed no relationship between group assignment and performance during baseline or practice. There was a significant relationship between group assignment and performance during the learning assessment (p<.05). Specifically, the IF group performed below expected values while the EM group performed better than expected. Findings support previous research showing learning detriments associated with internal focus instructions and also provide new insight into the advantages of using instructional approaches that are modeled after experts' strategies. Implications and suggestions for future research are discussed.

EEG alpha and theta signatures of socially and non-socially cued working memory in virtual reality.

In this preregistered study (https://osf.io/s4rm9) we investigated the behavioural and neurological [electroencephalography; alpha (attention) and theta (effort)] effects of dynamic non-predictive social and non-social cues on working memory. In a virtual environment realistic human-avatars dynamically looked to the left or right side of a table. A moving stick served as a non-social control cue. Kitchen items were presented in the valid cued or invalid un-cued location for encoding. Behavioural findings showed a similar influence of the cues on working memory performance. Alpha power changes were equivalent for the cues during cueing and encoding, reflecting similar attentional processing. However, theta power changes revealed different patterns for the cues. Theta power increased more strongly for the non-social cue compared to the social cue during initial cueing. Furthermore, while for the non-social cue there was a significantly larger increase in theta power for valid compared to invalid conditions during encoding, this was reversed for the social cue, with a significantly larger increase in theta power for the invalid compared to valid conditions, indicating differences in the cues’ effects on cognitive effort. Therefore, while social and non-social attention cues impact working memory performance in a similar fashion, the underlying neural mechanisms appear to differ.

No effect of spatial attention on the processing of a motion ensemble: Evidence from Posner cueing.

The formation of ensemble codes is an efficient means through which the visual system represents vast arrays of information. This has led to the claim that ensemble representations are formed with minimal reliance on attentional resources. However, evidence is mixed regarding the effects of attention on ensemble processing, and researchers do not always make it clear how attention is being manipulated by their paradigm of choice. In this study, we examined the effects of Posner cueing - a well-established method of manipulating spatial attention - on the processing of a global motion stimulus, a naturalistic ensemble that requires the pooling of local motion signals. In Experiment 1, using a centrally presented, predictive attentional cue, we found no effect of spatial attention on global motion performance: Accuracy in invalid trials, where attention was misdirected by the cue, did not differ from accuracy in valid trials, where attention was directed to the location of the motion stimulus. In Experiment 2, we maximized the potential for our paradigm to reveal any attentional effects on global motion processing by using a threshold-based measure of performance; however, despite this change, there was again no evidence of an attentional effect on performance. Together, our results show that the processing of a global motion stimulus is unaffected when spatial attention is misdirected, and speak to the efficiency with which such ensemble stimuli are processed.

Face Masks Do Not Alter Gaze Cueing of Attention: Evidence From the COVID-19 Pandemic.

Interacting with others wearing a face mask has become a regular worldwide practice since the beginning of the COVID-19 pandemic. However, the impact of face masks on cognitive mechanisms supporting social interaction is still largely unexplored. In the present work, we focused on gaze cueing of attention, a phenomenon tapping the essential ability which allows individuals to orient their attentional resources in response to eye gaze signals coming from others. Participants from both a European (i.e., Italy; Experiment 1) and an Asian (i.e., China; Experiment 2) country were involved, namely two countries in which the daily use of face masks before COVID-19 pandemic was either extremely uncommon or frequently adopted, respectively. Both samples completed a task in which a peripheral target had to be discriminated while a task irrelevant averted gaze face, wearing a mask or not, acted as a central cueing stimulus. Overall, a reliable and comparable gaze cueing emerged in both experiments, independent of the mask condition. These findings suggest that gaze cueing of attention is preserved even when the person perceived is wearing a face mask.

Detection of Schools in Remote Sensing Images Based on Attention-Guided Dense Network

The detection of primary and secondary schools (PSSs) is a meaningful task for composite object detection in remote sensing images (RSIs). As a typical composite object in RSIs, PSSs have diverse appearances with complex backgrounds, which makes it difficult to effectively extract their features using the existing deep-learning-based object detection algorithms. Aiming at the challenges of PSSs detection, we propose an end-to-end framework called the attention-guided dense network (ADNet), which can effectively improve the detection accuracy of PSSs. First, a dual attention module (DAM) is designed to enhance the ability in representing complex characteristics and alleviate distractions in the background. Second, a dense feature fusion module (DFFM) is built to promote attention cues flow into low layers, which guides the generation of hierarchical feature representation. Experimental results demonstrate that our proposed method outperforms the state-of-the-art methods and achieves 79.86% average precision. The study proves the effectiveness of our proposed method on PSSs detection.

FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning

Integrating multi-scale predictions has become a mainstream paradigm in edge detection. However, most existing methods mainly focus on effective feature extraction and multi-scale feature fusion while ignoring the low learning capacity in fine-level branches, limiting the overall fusion performance. In light of this, we propose a novel Fine-scale Corrective Learning Net (FCL-Net) that exploits semantic information from deep layers to facilitate fine-scale feature learning. FCL-Net mainly consists of a Top-down Attentional Guiding (TAG) and a Pixel-level Weighting (PW) module. TAG module adopts semantic attentional cues from coarse-scale prediction into guiding the fine-scale branches by learning a top-down LSTM. PW module treats the contribution of each spatial location independently and promote fine-level branches to detect detailed edges with high confidence. Experiments on three benchmark datasets, i.e., BSDS500, Multicue, and BIPED, show that our approach significantly outperforms the baseline and achieves a competitive ODS F-measure of 0.826 on the BSDS500 benchmark. The source code and models are publicly available at https://github.com/DREAMXFAR/FCL-Net.

Increased gaze cueing of attention during COVID-19 lockdown

SummaryAffiliation with others is a basic human need. The lockdown implemented for counteracting the COVID-19 pandemic has determined an unprecedented situation of social deprivation, forcing individuals to dramatically reduce face-to-face interactions. This, in turn, has caused relevant consequences on psychological well-being. However, the impact of lockdown-related social isolation on basic cognitive processes is still largely unknown. Here, we focus on social attention and address gaze cueing, namely the ability to shift attention in response to the gaze of others. This is a hard-wired cognitive mechanism critically supporting the establishment of social interactions and pervasive relationships among individuals. Our results show a stronger gaze-cueing effect during, rather than after, the lockdown, whose magnitude was positively correlated with social isolation distress. These findings indicate that, in a condition of prolonged social deprivation, orienting of attention may be shaped by hypersensitivity to social cues, likely due to the strive to reconnect with others.