Attention To Behavior Research Articles

Understanding consumer perception and acceptance of AI art through eye tracking and Bidirectional Encoder Representations from Transformers-based sentiment analysis

This study investigates public perception and acceptance of AI-generated art using an integrated system that merges eye-tracking methodologies with advanced bidirectional encoder representations from transformers (BERT)-based sentiment analysis. Eye-tracking methods systematically document the visual trajectories and fixation spots of consumers viewing AI-generated artworks, elucidating the inherent relationship between visual activity and perception. Thereafter, the BERT-based sentiment analysis algorithm extracts emotional responses and aesthetic assessments from numerous internet reviews, offering a robust instrument for evaluating public approval and aesthetic perception. The findings indicate that consumer perception of AI-generated art is markedly affected by visual attention behavior, whereas sentiment analysis uncovers substantial disparities in aesthetic assessments. This paper introduces enhancements to the BERT model via domain-specific pre-training and hyper- parameter optimization utilizing deep Gaussian processes and dynamic Bayesian optimization, resulting in substantial increases in classification accuracy and resilience. This study thoroughly examines the underlying mechanisms of public perception and assessment of AI-generated art, assesses the potential of these techniques for practical application in art creation and evaluation, and offers a novel perspective and scientific foundation for future research and application of AI art.

Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT model for intensive longitudinal data.

In ecological momentary assessment (EMA), respondents answer brief questionnaires about their current behaviours or experiences several times per day across multiple days. The frequent measurement enables a thorough grasp of the dynamics inherent in psychological constructs, but it also increases respondent burden. To lower this burden, respondents may engage in careless and insufficient effort responding (C/IER), leaving data contaminated with responses that do not reflect what researchers want to measure. We introduce a novel approach to investigating C/IER in EMA data. Our approach combines a confirmatory mixture item response theory model separating C/IER from attentive behaviour with latent Markov factor analysis. This enables gauging the occurrence of C/IER and studying transitions among states of different response behaviours including their contextual correlates. The approach can be implemented using R packages. An empirical application showcases the approach's efficacy in pinpointing C/IER instances and gaining insights into their underlying causes. We showcase that the approach identifies various C/IER response patterns but requires heterogeneous and negatively worded items to detect straightlining. In a simulation investigating robustness against unaccounted for changes in measurement models underlying attentive responses, the approach proved robust against heterogeneity in loading patterns but not against heterogeneity in factor structures. Extensions to accommodate the latter are discussed.

Gaining headspace: A classroom‐based mindfulness intervention to promote attention for primary students

AbstractThe authors investigated whether a functional relation exists between the mindfulness‐based intervention Headspace and student attentive behavior, and the perceptions of Headspace from instructors who used the intervention. The study was conducted in three classrooms with elementary‐age students. The intervention was delivered via the Headspace application. Data were collected using systematic direct observation. The research design was a multiple baseline design. Each classroom was the unit of analysis. Data were analyzed using visual analysis and by calculating a between‐case standardized mean difference. Results showed a nonsignificant, small effect size (g = 0.53, (95% CI [−0.15, 1.22]). Overall, results from the visual analysis suggest there was not a functional relation between Headspace and attentive behavior. The perceptions of Headspace by instructors were not positive. The results differ from previous results in the literature and are interpreted considering limitations related to the planning/design of the study as well as its execution.

Computational Analysis and Experimental Data Exploring the Role of Hesperetin in Ameliorating ADHD and SIRT1/Nrf2/Keap1/OH-1 Signaling.

Attention deficit hyperactivity disorder (ADHD) manifests as poor attention, hyperactivity, as well as impulsive behaviors. Hesperetin (HSP) is a citrus flavanone with strong antioxidant and anti-inflammatory activities. The present study aimed to test hesperetin efficacy in alleviating experimental ADHD in mice and its influence on hippocampal neuron integrity and sirtuin 1 (SIRT1) signaling. An in silico study was performed to test the related proteins. Groups of mice were assigned as control, ADHD model, ADHD/HSP (25 mg/kg), and ADHD/HSP (50 mg/kg). ADHD was induced by feeding with monosodium glutamate (0.4 g/kg, for 8 weeks) and assessed by measuring the motor and attentive behaviors (open filed test, Y-maze test, and marble burying test), histopathological examination of the whole brain tissues, and estimation of inflammatory markers. The in-silico results indicated the putative effects of hesperetin on ADHD by allowing the integration and analysis of large-scale genomic, transcriptomic, and proteomic data. The in vivo results showed that ADHD model mice displayed motor hyperactivity and poor attention in the behavioral tasks and shrank neurons at various hippocampal regions. Further, there was a decline in the mRNA expression and protein levels for SIRT1, the erythroid 2-related factor-2 (Nrf2), kelch like ECH associated protein 1 (Keap1) and hemeoxygenase-1 (OH-1) proteins. Treatment with HSP normalized the motor and attentive behaviors, prevented hippocampal neuron shrinkage, and upregulated SIRT1/Nrf2/Keap1/OH-1 proteins. Taken together, HSP mainly acts by its antioxidant potential. However, therapeutic interventions with hesperetin or a hesperetin-rich diet can be suggested as a complementary treatment in ADHD patients but cannot be suggested as an ADHD treatment per se as it is a heterogeneous and complex disease.

The impact of children’s attentional behaviour and parent–child interaction on children’s self regulation skills

ABSTRACT This study aims to examine the predictive role of parent–child interaction on children's self-regulation skills during the preschool period. The study was conducted on a sample consisting of 219 children aged 5–6 and their mothers, selected using convenience sampling method. In the research, mothers’ interactions with their children were evaluated using the Maternal Behavior Rating Scale, while children’s interactions with their mothers were assessed using the Child Behavior Rating Scale, and children’s self-regulation skills were evaluated based on performance using the Preschool Self-Regulation Assessment. The findings indicate that interaction elements predicting children’s self-regulation skills at a high and positive level include children’s attention, as well as mothers’ sensitive-responsive behaviors. The interaction element predicting self-regulation skills at a negative level is mothers’ focus on achievement and directive behaviour. In contrast, neither the children’s initiation of interaction nor the mothers’ emotional and expressive behaviors were significant predictors of the children’s self-regulation skills. The results were discussed in light of existing literature and suggestions for future research were provided.

Visual attention and processing function in relation to executive functioning in very preterm–born children aged 3 years: a prospective cohort study

The ability to orient attention to one’s environment is a prerequisite for developing executive functions (EF) from preschool age. Very preterm children are vulnerable for delays in visual orienting function (VOF) and EF deficits. This study aimed to investigate associations between objective VOF and subjective parent-reported EF in very preterm–born children at 3 years corrected age (CA). In a prospective cohort study (BOND) involving 90 children born < 30 weeks, VOF and EF were assessed using an eye tracking–based method and BRIEF-P questionnaire. Associations between abnormal VOF (viewing reaction times) and EF scores (BRIEF-P scores) were studied using multivariable regression. Using a modified Delphi method, a subset of eight items related to VOF and EF was explored. Abnormal VOF was observed in 31% of the children and abnormal global EF composite scores in 41%. Abnormal VOF was not associated with global or domain-level EF scores. However, children with abnormal VOF more frequently had EF problems related to attentional behavior: “easily sidetracked” (OR 4.18 (CI: 1.21–14.41), p = 0.02) and “short attention span” (OR 4.52 (CI: 1.34–15.22), p = 0.02). Conclusion: Although abnormal VOF was not associated with global, parent-reported, EF at 3 years CA, secondary analyses did show a relation to specific attention and concentration span items. Further research is needed to study the role of VOF in objectifying preschool EF assessments in very preterm born children. What is known:• Very preterm children are vulnerable for executive function (EF) deficits and for delays in visual orienting function, as compared to term-born children• The ability to orient attention to one’s visual environment is an important prerequisite for EF early in life and is easy to measure objectively with visual orienting function (VOF) assessmentWhat is new:• VOF measurement at 3 years of age relates to parent-reported attention and concentration span items, important aspects of executive functions• Future work should explore the clinical additional value of early VOF measurement in children at risk for EF deficits

Behavioral Intervention for Adults With Autism on Distribution of Attention in Triadic Conversations: A/B-Tested Pre-Post Study.

Cross-neurotype differences in social communication patterns contribute to high unemployment rates among adults with autism. Adults with autism can be unsuccessful in job searches or terminated from employment due to mismatches between their social attention behaviors and society's expectations on workplace communication. We propose a behavioral intervention concerning distribution of attention in triadic (three-way) conversations. Specifically, the objective is to determine whether providing personalized feedback to each individual with autism based on an analysis of their attention distribution behavior during an initial conversation session would cause them to modify their orientation behavior in a subsequent conversation session. Our system uses an unobtrusive head orientation estimation model to track the focus of attention of each individual. Head orientation sequences from a conversation session are analyzed based on five statistical domains (eg, maximum exclusion duration and average contact duration) representing different types of attention distribution behavior. An intervention is provided to a participant if they exceeded the nonautistic average for that behavior by at least 2 SDs. The intervention uses data analysis and video modeling along with a constructive discussion about the targeted behaviors. Twenty-four individuals with autism with no intellectual disabilities participated in the study. The participants were divided into test and control groups of 12 participants each. Based on their attention distribution behavior in the initial conversation session, 11 of the 12 participants in the test group received an intervention in at least one domain. Of the 11 participants who received the intervention, 10 showed improvement in at least one domain on which they received feedback. Independent t tests for larger test groups (df>15) confirmed that the group improvements are statistically significant compared with the corresponding controls (P<.05). Crawford-Howell t tests confirmed that 78% of the interventions resulted in significant improvements when compared individually against corresponding controls (P<.05). Additional t tests comparing the first conversation sessions of the test and control groups and comparing the first and second conversation sessions of the control group resulted in nonsignificant differences, pointing to the intervention being the main effect behind the behavioral changes displayed by the test group, as opposed to confounding effects or group differences. Our proposed behavioral intervention offers a useful framework for practicing social attention behavior in multiparty conversations that are common in social and professional settings.

Video Salient Object Detection Via Multi-level Spatiotemporal Bidirectional Network Using Multi-scale Transfer Learning

Video saliency prediction aims to resemble human visual attention by identifying the most relevant and significant elements in a video frame or sequence. This task becomes notably intricate in scenarios characterized by dynamic elements such as rapid motion, occlusions, blur, background variations, and nonrigid deformations. Therefore, the inherent complexity of human visual attention behavior during dynamic scenes necessitates the assessment of both temporal and spatial data. Existing video saliency frameworks often falter under such conditions, and relying solely on image saliency models neglects crucial temporal information in videos. This study presents a new Video Salient Object Detection via Multi-level Spatiotemporal Bidirectional Network using Multi-scale Transfer Learning (MSB-Net) to address the problem of identifying significant objects in videos. The proposed MSB-Net achieves notable results for a given sequence of frames by employing multi-scale transfer learning with an encoder and decoder approach to acquire knowledge and saliency map attributes spatially and temporally. The proposed MSB-Net model has bidirectional LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Network) components. The VGG16 (Video Geometry Group) and VGG19 architectures extract multi-scale features from the input video frames. Evaluation of diverse datasets, namely DAVIS-T, SegTrack-V2, ViSal, VOS-T, and DAVSOD-T, demonstrates the model's effectiveness, outperforming other competitive models based on parameters such as MAE, F-measure, and S-measure.

Patterns of neural activity in prelimbic cortex neurons correlate with attentional behavior in the rodent continuous performance test.

Sustained attention, the ability to focus on a stimulus or task over extended periods, is crucial for higher level cognition, and is impaired in individuals diagnosed with neuropsychiatric and neurodevelopmental disorders, including attention-deficit/hyperactivity disorder, schizophrenia, and depression. Translational tasks like the rodent continuous performance test (rCPT) can be used to study the cellular mechanisms underlying sustained attention. Accumulating evidence points to a role for the prelimbic cortex (PrL) in sustained attention, as electrophysiological single unit and local field (LFPs) recordings reflect changes in neural activity in the PrL in mice performing sustained attention tasks. While the evidence correlating PrL electrical activity with sustained attention is compelling, limitations inherent to electrophysiological recording techniques, including low sampling in single unit recordings and source ambivalence for LFPs, impede the ability to fully resolve the cellular mechanisms in the PrL that contribute to sustained attention. In vivo endoscopic calcium imaging using genetically encoded calcium sensors in behaving animals can address these questions by simultaneously recording up to hundreds of neurons at single cell resolution. Here, we used in vivo endoscopic calcium imaging to record patterns of neuronal activity in PrL neurons using the genetically encoded calcium sensor GCaMP6f in mice performing the rCPT at three timepoints requiring differing levels of cognitive demand and task proficiency. A higher proportion of PrL neurons were recruited during correct responses in sessions requiring high cognitive demand and task proficiency, and mice intercalated non-responsive-disengaged periods with responsive-engaged periods that resemble attention lapses. During disengaged periods, the correlation of calcium activity between PrL neurons was higher compared to engaged periods, suggesting a neuronal network state change during attention lapses in the PrL. Overall, these findings illustrate that cognitive demand, task proficiency, and task engagement differentially recruit activity in a subset of PrL neurons during sustained attention.

The level of predictability of past reading attainment and self-perception and behavioural measures on children’s reading achievement

This longitudinal study used regression path models to predict the influence on students’ reading comprehension ability of three self-perception variables (reading self-concept; reading/English effort; academic self-handicapping); three teacher rating behaviour variables (attentive behaviour; sociable behaviour; and settled behaviour) and past reading comprehension. As part of the study, a 12-item reading/English effort scale was developed, and its psychometrics characteristics reported ( N = 254) The participants were Australian primary school students, followed from Years 3 and 4 to Years 5 and 6 ( n = 127). The first path model identified that attending behaviours, low levels of self-handicapping, and reading self-concept were the main predictors of reading achievement. Reading achievement was reassessed two years on, with this path model including past reading attainment. In this model past reading achievement and self-handicapping predicted reading achievement. This research reiterates: the relevance of social-emotional and cognitive variables in education; the need to teach reading across the school years; and the need to enhance students’ sense of control and certainty over their learning.

The Utility of a Novel Neuropsychological Measurement to Analyze Event-Related Attentional Behaviors among Young Children with Attention Deficit Hyperactivity Disorder-a Pilot Study.

The identification and diagnosis of children with attention deficit hyperactivity disorder (ADHD) traits is challenging during the preschool stage. Neuropsychological measures may be useful in early assessments. Furthermore, analysis of event-related behavior appears to be an unmet need for clinical treatment planning. Conners' Kiddie Continuous Performance Test (K-CPT) is the most popular well-established neuropsychological measurement but lacks event markers to clarify the heterogeneous behaviors among children. This study utilized a novel commercially available neuropsychological measure, the ΣCOG, which was more game-like and provided definite event markers of individual trial in the test. Thirty-three older preschool children (14 were diagnosed with ADHD, mean age: 66.21 ± 5.48months; 19 demonstrated typical development, mean age: 61.16 ± 8.11months) were enrolled and underwent comprehensive medical and developmental evaluations. All participants underwent 2 versions of neuropsychological measures, including the K-CPT, Second Edition (K-CPT 2) and the ΣCOG, within a short interval. The study indicated the omissions and response time scores measured in this novel system correlated with clinical measurement of the behavioral scales in all participants and in the group with ADHD; additionally, associations with the traditional K-CPT 2 were observed in commissions and response time scores. Furthermore, this system provided a within-task behavioral analysis that identified the group differences in the specific trial regarding omission and commission errors. This innovative system is clinically feasible and can be further used as an alternative to the K-CPT 2 especially in research by revealing within-task event-related information analysis.

Partner gaze shapes the relationship between symptoms of psychopathology and interpersonal coordination

Interpersonal coordination is a key determinant of successful social interaction but can be disrupted when people experience symptoms related to social anxiety or autism. Effective coordination rests on individuals directing their attention towards interaction partners. Yet little is known about the impact of the attentional behaviours of the partner themselves. As the gaze of others has heightened salience for those experiencing social anxiety or autism, addressing this gap can provide insight into how symptoms of these disorders impact coordination. Using a novel virtual reality task, we investigated whether partner gaze (i.e., direct vs. averted) influenced the emergence of interpersonal coordination. Results revealed: (i) spontaneous coordination was diminished in the averted (cf. direct) gaze condition; (ii) spontaneous coordination was positively related to symptoms of social anxiety, but only when partner gaze was averted. This latter finding contrasts the extant literature and points to the importance of social context in shaping the relationship between symptoms of psychopathology and interpersonal coordination.

Using eye tracking to support professional learning in vision-intensive professions: a case of aviation pilots

In an authentic flight simulator, the instructor is traditionally located behind the learner and is thus unable to observe the pilot’s visual attention (i.e. gaze behaviour). The focus of this article is visual attention in relation to pilots’ professional learning in an Airbus A320 Full Flight Simulator. For this purpose, we measured and analysed pilots’ visual scanning behaviour during flight simulation-based training. Eye-tracking data were collected from the participants (N = 15 pilots in training) to objectively and non-intrusively study their visual attention behaviour. First, we derived and compared the visual scanning patterns. The descriptive statistics revealed the pilots’ visual scanning paths and whether they followed the expected flight protocol. Second, we developed a procedure to automate the analysis. Specifically, a Hidden Markov model (HMM) was used to automatically capture the actual phases of pilots’ visual scanning. The advantage of this technique is that it is not bound to manual assessment based on graphs or descriptive data. In addition, different scanning patterns can be revealed in authentic learning situations where gaze behaviour is not known in advance. Our results illustrate that HMM can provide a complementary approach to descriptive statistics. Implications for future research are discussed, including how artificial intelligence in education could benefit from the HMM approach.

THE SENOLYTIC QUERCETIN PREVENTS AGE-ASSOCIATED VASCULAR STIFFENING, REDUCES BLOOD PRESSURE AND IMPROVES COGNITIVE FUNCTION IN DAHL SALT-SENSITIVE RATS CONSUMING A NORMAL SALT DIET

Objective: Quercetin (QRC), a flavonoid with anti-oxidant, anti-inflammatory and senolytic effects, reduced BP in salt-induced hypertension in Dahl salt-sensitive (DSS) rats. The increases in central arterial stiffness (CAS) and blood pressure (BP) occur, as manifestation of early vascular aging (EVA), in DSS rats even consuming a normal salt (NS) diet, moreover, EVA is associated with cognitive impairment in humans. We hypothesized that as age advances, a decline in cognitive function will accompany EVA in DSS rats consuming a NS diet, and that QRC will not only retard EVA, but also will improve cognitive function. Design and method: A NS diet (0.5% NaCl), supplemented with QRC (100 mg/kg BW/day) was administered to male DSS rats at 6-mo of age (n=24) for a 3-month period. DSS without QRC supplementation served as a control group (n=12). Systolic and diastolic BP (SBP, DBP), pulse wave velocity (PWV, an index of CAS), echocardiography, and a visuospatial attention test were assessed prior to and following QRC treatment. Results: At 6-mo of age none of the measured parameters differ between control and QRC rats. During aging from 6- to 9-mo in the control group, SBP, DBP and PWV significantly increased, ESLV.vol showed a statistically borderline trend to increase, HR and EF showed a statistically borderline trend to decrease, and attention behavior did not change. QRC treatment reduced SBP, PWV, and ESLV.vol, and increased EF and attention (Table). The QRC effect to increase the number of correct attention test responses was inversely correlated with PWV (Pearson r=-0.420, P=0.02) but not with BP or cardiac parameters, indicating that CAS but not BP is linked to cognitive function. Conclusions: QRC reduces EVA and improves cognition assessed as an attention behavior. Although both BP and CAS are manifestations of EVA, a positive association between attention decline with PWV, but not BP, suggests that CAS is linked to cognitive function via mechanisms that are not directly related to BP. Further studies are required to determine whether the effects of QRC on EVA in DSS rats, consuming a NS diet, are linked to its anti-oxidant, anti-inflammatory or senolytic properties.

Comorbid Word Reading and Mathematics Computation Difficulty at Start of First Grade.

The purpose of this analysis was to describe cognitive processes associated with comorbid difficulty between word reading (WR) and mathematics computation (MC) at the start of first grade among children selected for WR and MC delays. A sample of 234 children (mean age 6.50 years, SD = 0.31) was assessed on WR, MC, core cognitive processes (phonological processing, rapid automatized naming, verbal counting [VC]), and domain-general cognitive processes (working memory, oral language, nonverbal reasoning, attentive behavior). Structural equation modeling was used to predict a latent Comorbidity factor, which modeled shared variance between WR and MC, and to identify processes associated with that Comorbidity factor. Results identified each of the core cognitive processes, especially VC, and each of the domain-general cognitive processes, especially working memory, as explaining shared variance between WR and MC. Implications for understanding comorbid difficulty at the start of first grade and designing coordinated first-grade interventions are discussed.

Social and joint attention during shared book reading in young autistic children: a potential marker for social development.

Atypical patterns of social engagement and joint attention behaviors are diagnostic criteria for people with autism spectrum disorder. Experimental tasks using eye-tracking methodologies have, however, shown inconsistent results. The development of tasks with greater ecological validity and relevance for developmentally appropriate social milestones has been identified as important for the field. We developed a novel, dynamic eye-tracking task emulating a shared book reading (SBR) scenario. Four SBR videos of an adult reader engaging with the viewer while reading a children's picture book and including sequenced bids for joint attention were developed. Participants included 90 children (N = 56 autistic children, N = 34 neurotypical children; aged 3-12). Social attention was also measured in a live free play task between participants and an experimenter. Compared to neurotypical children, autistic children displayed reduced attention to socially salient stimuli including the reader's face and picture book across SBR videos and during joint attention bids specifically. In contrast, they showed increased attention to nonsalient background stimuli compared to their neurotypical peers. These attention patterns in autistic children were associated with reduced verbal and nonverbal cognitive skills and increased symptoms associated with autism. Interestingly, positive correlations in the frequency of eye gaze between SBR and free play suggested a potential predictive value for social attention in live social interactions. Findings highlight the utility of SBR eye-tracking tasks in understanding underlying divergences in social engagement and joint attention between autistic and neurotypical children. This commonly practiced early childhood activity may provide insights into the relationship between social engagement and learning to reveal how such attentional patterns might influence broader developmental and educational outcomes.

Paraphilic fantasies and behavior in attention deficit/hyperactivity disorder and their association with hypersexuality.

Previous research has found some peculiarities in sexual functioning of adults with attention deficit/hyperactivity disorder (ADHD). Using a set of questionnaires that had to be answered online, we assessed the prevalence of paraphilic fantasies and behaviors in a sample of 160 adults with ADHD in comparison to 75 adults without ADHD and evaluated the association between paraphilias and hypersexuality in the ADHD group. Both groups reported high rates of paraphilic fantasies and behaviors. ADHD individuals were more likely to report about very sexually arousing paraphilic fantasies (ADHD: 58.2% vs. non-ADHD: 40.5%; χ2 = 6.323, p = 0.01) and behaviors (ADHD: 44.9% vs. non-ADHD: 28.4%; χ2 = 5.774, p = 0.02). Furthermore, ADHD individuals reported on average about more very sexually arousing paraphilic behaviors compared to non-ADHD individuals (ADHD: M = 1.28, SD = 0.10 vs. non-ADHD: M = 0.81, SD = 0.09; T = 2.68, p < 0.01). Furthermore, in ADHD individuals both very sexually arousing paraphilic interests in masturbation fantasies (r(158) = 0.17, p = 0.03) and in sexual behaviors (r(158) =0.19, p = 0.02) showed a significant correlation with hypersexuality. In non-ADHD individuals no such significant correlation could be found. Altogether, it can be concluded that individuals with ADHD seem to be more prone to develop and act out paraphilic sexuality than those without ADHD, however, found differences were rather small. The results of the present study add to the current trend to depathologize paraphilic sexuality in the general as well as in clinical populations.

Detection of atypical attentional behaviors in young subjects

BackgroundVigilance ability refers to the accuracy and speed with which a person performs a cognitive-motor task, either voluntarily (endogenous mode) or following a warning stimulus (exogenous mode). In the context of a force production task, our study focuses on the impact of the states of vigilance by proposing an original approach that allows distinguishing between good (inlier) and poor (outlier) participants. We assume that the use of an external signal and duration of the temporal preparation (foreperiod) increase the speed and the precision of motor responses. Our objective is particularly challenging in the context of a limited dataset with a high level of noise. New methodOur original methodological approach consists of coupling the RANSAC (RANdom SAmple Consensus) algorithm with a statistical machine learning algorithm to handle noise. Comparison with existing methodsOur clustering approach, based on the coupling of RANSAC methodology with ensemble classifiers, overcomes the limitations of conventional supervised algorithms that are either not robust to outliers (such as K-Nearest Neighbors) and/or not adapted to few-shot learning (such as Support Vector Machines and Artificial Neural Networks). ResultsThe clustering results were validated in terms of reaction time distributions and force error distributions with respect to participant groups. We show that the use of an external signal and duration of the temporal preparation (foreperiod) increase the speed and the precision of motor responses. ConclusionOur study has allowed us to detect atypical attentional patterns and succeeds in separating the inliers from the outliers.

Impact of attention on rare events across industries in Indonesia

Rare events (RE) are substantial with significant impact but are difficult to predict, often deviating from regular expectations. These events trigger psychological reactions in the market and susceptible to irrational decisions that challenge logical assumptions. The rapidity of the crisis has led to highly volatile market conditions, fostering instances of asymmetric information. Therefore, this study aimed to explore the impact of attention on market dynamics by examining diverse possibilities over time. The article focused on all publicly listed industries on the Indonesian Stock Exchange (IDX/BEI). Using time series regression data from 1997 to 2020, the article comprised 5,615 observations across nine sectors. The primary model was based on three factors originating from the Fama-French and prospect theory, with attention serving as the main risk element to assess the impact of attention on abnormal returns (AR) during RE. The results disclosed that various events showed diverse effects on attention behavior, varying across all sectors. Additionally, moderation analysis showed a correlation between attention and AR. The results signified that RE mitigates the negative relationship between attention and AR. The adverse impact of attention on AR diminishes during RE. These results contributed to the literature by providing insights into the excessive attention to specific information disrupts market mechanisms, triggers disproportionate emotional responses, and alters investor preferences. Furthermore, this study established that events prompting excessive attention have varying effects on attention behavior across all sectors.

Novel objects placed in feeder increase the feeding time of foals fed concentrate feed

This study aimed to evaluate the feeding time and reactivity of male and female foals exposed to novel objects (seven plastic balls measuring 8 cm in diameter) placed inside the feeder. Eleven mixed-breed foals (males = 6; 316 ± 42 kg of BW, females = 5; 290 ± 35 kg of BW) were used. The amount of concentrate feed was calculated using 2000 g kg-1 BW for males and 1500 g kg-1 BW for females. Behavioral variables were assessed using a scoring system. Data on time spent feeding were subjected to analysis of variance and regression analysis (p &lt; 0.05) and compared using the PROC REG procedure of SAS (with object = without object). A line of equality (y = x) was used to test correlations. The behavioral model was fitted by a generalized linear model using the GLIMMIX procedure of SAS, and means were compared (p &lt; 0.05) by t-tests. Feeding time differed between sexes (males = 23.7 ± 4.8 min., females = 19.5 ± 3.1 min.), attributed to the longer time spent by males in attentive behavior when plastic balls were placed in the feeders. There was no effect on composite behavioral score. Both males (18.37%) and females (14.29%) were classified as calm while feeding in feeders with unfamiliar objects. By adding plastic balls to the feeder, it was possible to increase the feeding time of foals fed concentrate feed.