Behavioral Research Research Articles

Validating Ultra-Wideband Positioning System for Precision Cow Tracking in a Commercial Free-Stall Barn

UWB positioning systems offer innovative solutions for precision monitoring dairy cow behaviour and social dynamics, yet their performance in complex commercial barn environments requires thorough validation. This study evaluated the TrackLab 2.13 (Noldus) UWB system in a dairy barn housing 44–49 cows. We assessed stationary tag positioning using ten fixed tags over seven days, proximity detection between eight cows and ten stationary tags, and moving tag positioning using three tags on a stick to simulate cow movement. System performance varied by tag location, with reliability ranging from 4.09% to 96.73% and an overall mean accuracy of 0.126 ± 0.278 m for stationary tags. After the provider updated the software, only 0.62% of measures exceeded the declared accuracy of 0.30 m. Proximity detection between moving cows and stationary tags showed 81.42% accuracy within a 2-m range. While generally meeting specifications, spatial variations in accuracy and reliability were observed, particularly near barn perimeters. These findings highlight UWB technology’s potential for precision livestock farming, welfare assessment, and behaviour research, including social interactions and space use patterns. Results emphasise the need for careful system setup, regular updates, and context-aware data interpretation in commercial settings to maximise benefits in animal welfare monitoring.

Unveiling the Impact of Emotional Regulation on Academic Procrastination

This study examines how consumer perceptions of the Skintific brand, product quality, and pricing influence product selections among 110 FBHIS students at Muhammadiyah University of Sidoarjo. Using online questionnaires and quantitative analysis methods, including validity and reliability tests, multiple linear regression, and t-tests, the research reveals significant relationships between brand image, product quality, pricing, and consumer purchasing decisions. The findings emphasize the importance of these factors in shaping consumer behavior, particularly among university students, and offer insights for skincare companies targeting this demographic to enhance brand image, maintain product quality, and offer competitive pricing strategies. Highlight: Quantitative Analysis: Validity, reliability tests, regression for consumer behavior research. University Sample: Investigated FBHIS students' purchasing choices at Sidoarjo University. Strong Associations: Brand image, product quality, pricing linked to consumer decisions. Keywoard: Consumer perceptions, Skintific brand, Product quality, Pricing, Decisions

Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.

Simulation studies are widely used for evaluating the performance of statistical methods in psychology. However, the quality of simulation studies can vary widely in terms of their design, execution, and reporting. In order to assess the quality of typical simulation studies in psychology, we reviewed 321 articles published in Psychological Methods, Behavior Research Methods, and Multivariate Behavioral Research in 2021 and 2022, among which 100/321 = 31.2% report a simulation study. We find that many articles do not provide complete and transparent information about key aspects of the study, such as justifications for the number of simulation repetitions, Monte Carlo uncertainty estimates, or code and data to reproduce the simulation studies. To address this problem, we provide a summary of the ADEMP (aims, data-generating mechanism, estimands and other targets, methods, performance measures) design and reporting framework from Morris et al. (2019) adapted to simulation studies in psychology. Based on this framework, we provide ADEMP-PreReg, a step-by-step template for researchers to use when designing, potentially preregistering, and reporting their simulation studies. We give formulae for estimating common performance measures, their Monte Carlo standard errors, and for calculating the number of simulation repetitions to achieve a desired Monte Carlo standard error. Finally, we give a detailed tutorial on how to apply the ADEMP framework in practice using an example simulation study on the evaluation of methods for the analysis of pre-post measurement experiments. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Unlocking Job Involvement: Helping New Employees Navigate using Uncertainty Reduction Theory with Psychological Safety as a Mediator.

Organizational socialization (OS) is a critical process that all employees go through. In addition to the job characteristics, the efficiency and effectiveness of the OS process impact the individual's ability to adjust and be involved in the job. This study proposes and tests a new model in which psychological safety mediated the effects of OS and job characteristics on the job involvement of 313 newly recruited health-care professionals' working in 10 private hospitals in South India. Researchers used Uncertainty Reduction Theory to explain the relationship between the variables under study. The results indicate that newcomers' job involvement is predicted positively by OS and job characteristics, and that psychological safety mediates these relationships. These findings as well as their implications in the health-care professional arena are discussed within the Eastern cultural contexts of organizational behavior research.

Impact of Nutritional Minerals Biomarkers on Cognitive Performance Among Bangladeshi Rural Adolescents—A Pilot Study

Background: Nutritional metals (NM) are essential for neurodevelopment and cognitive performance during growth. Nevertheless, epidemiological evidence regarding the associations between NM and brain function remains understudied, particularly among adolescents. Therefore, the objective of this pilot study was to examine the effects of NM biomarkers such as iron (Fe), selenium (Se), zinc (Zn), magnesium (Mg), and copper (Cu) on neurobehavioral functions among a group of rural Bangladeshi adolescents. Methodology: We conducted a cross-sectional study involving 105 adolescents aged 13–17 from Araihazar, Bangladesh. Cognitive function was assessed using the computer-based Behavioral Assessment and Research System (BARS), focusing attention, memory, and executive function, and blood NM levels (Fe, Se, Zn, Mg, and Cu) were measured. Associations between individual minerals, NM composite scores, and cognition were analyzed using multiple linear regressions. Results: This study included 47 boys and 58 girls with an average age of 15 years. Fe levels were correlated with Continuous Performance Test (CPT) latency (r = −0.42, p < 0.05) and Se levels correlated with Match-to-Sample (MTS) correct count (r = 0.32, p < 0.01). Linear regressions showed that Se was associated with MTS correct count (b = 0.02, 95%CI: 0.01, −0.04), reflecting visual memory, and Fe was associated with CPT latency (b = −0.68, 95%CI: −1.11, −0.26), reflecting improved attention. The same BARS measures were also significantly associated with the 3-NM composite score. Conclusions: Our findings suggest that NM, particularly Fe, Se, and NM mixtures, could play a crucial role in brain development and neurocognitive function during adolescence. Further studies will help design national public health policies and strategies to address and mitigate brain health deficiencies among adolescents.

More than words: the role of personality in shaping the timeliness of online reviews

Purpose The purpose of this paper is to investigate the potential influence of the big five personality traits − extraversion, neuroticism, agreeableness, openness and conscientiousness − on the time taken by travelers to submit online reviews after their hotel stay. Design/methodology/approach The study analyzed 83,235 TripAdvisor reviews from 415 hotels in six major US tourism cities using random forest algorithms and Poisson regression. The research investigated the influence of the big five personality traits on the time taken by travelers to submit online reviews post-hotel stay, merging personality psychology with consumer behavior research through a combination of machine learning and statistical analysis. Findings The findings reveal significant correlations between certain personality traits and the time taken to post online hotel reviews. Extraversion, neuroticism and agreeableness were found to be negatively correlated with response time, suggesting that individuals scoring higher in these traits tend to submit their reviews more quickly. Conversely, openness exhibited a positive correlation, indicating that those with higher levels of openness tend to delay their feedback. Conscientiousness showed no significant correlation with response time. Originality/value This study represents a novel approach to understanding the relationship between personality traits and online review behavior in the hospitality industry. By leveraging advanced machine learning techniques, such as random forest algorithms, alongside traditional statistical methods like Poisson regression, this research offers a unique perspective on the influence of personality on consumer behavior. The innovative application of these technologies to a large data set of TripAdvisor reviews provides fresh insights that can inform the development of personalized customer engagement strategies. The findings contribute to the growing body of literature on the intersection of personality psychology, consumer behavior and hospitality management in the digital age.

Nutritional education on health beliefs, metabolic profiles, and quality of life among high-risk pregnant women for gestational diabetes mellitus: a randomized controlled trial.

In recent years, nutrition has become increasingly important in treating and managing gestational diabetes mellitus. The Health Belief Model (HBM) is a conceptual framework in health behavior research used in some medical research. The present study aimed to evaluate the effect of glycemic index training based on the HBM on metabolic indicators and pregnant women's health-related quality of life. In this open-label, parallel-controlled randomized trial, 90 pregnant women from primary health centers in Iran were recruited and randomly assigned to either the intervention group or the control group, using a block randomization method with a block size of six. The intervention group underwent 12 weeks of nutritional education on the glycemic index and load of foodstuff. The control group only received routine health care. Valid and reliable questionnaires included demographic and prenatal information, physical activity, three days of food records, quality of life (SF-12), and HBM constructs. Fasting blood samples were taken at baseline and end of the study, to assess fasting blood glucose (FBS), fasting insulin, hs-CRP, and lipids. Eighty-four pregnant women with an age mean of 30.12 ± 4.35 completed 12 weeks of intervention. At baseline, there were no significant differences between groups in the HBM subscales (P > 0.05). However, within the intervention group, there was an increase in perceived susceptibilities (mean change 1.45 ± 4.21; P = 0.03) and cue to action (mean change: 1.22 ± 3.38; P = 0.02). In the adjusted model, the General Health subscale of Quality of Life showed a significant increase in the comparison between groups (mean change 13.69 ± 29.83 vs. 0.00 ± 29.58; P = 0.04). Additionally, the adjusted model revealed a notable difference between the groups in serum hs-CRP level, (mean change -0.877 ± 3.47 vs. -0.067 ± 3.40; P = 0.01) and triglyceride level (mean change - 55.24 ± 111.21 vs. 40.92 ± 142.01; P = 0.001). However, in the adjusted model, the total cholesterol levels increased between groups (mean change 22.75 ± 66.17 vs. 30.12 ± 61.33; P = 0.01) at the end of the study. There was no significant difference in glycemic indices (P > 0.05). Participation in a nutrition education program might positively impact nutritional beliefs, behaviors, and some biochemical indicators among pregnant women. Future studies with larger sample sizes and longer follow-ups are warranted.Trial registration number: IRCTID: IRCT20190227042858N1. Registration date: 2019-07-18.

Sex differences in the human brain related to visual motion perception.

Previous studies have found that the temporal duration required for males to perceive visual motion direction is significantly shorter than that for females. However, the neural correlates of such shortened duration perception remain yet unclear. Given that motion perception is primarily associated with the neural activity of the middle temporal visual complex (MT+), we here test the novel hypothesis that the neural mechanism of these behavioral sex differences is mainly related to the MT+ region. We utilized ultra-high field (UHF) MRI to investigate sex differences in the MT+ brain region. A total of 95 subjects (48 females) participated in two separate studies. Cohort 1, consisting of 33 subjects (16 females), completed task-fMRI (drafting grating stimuli) experiment. Cohort 2, comprising 62 subjects (32 females), engaged in a psychophysical experiment measuring motion perception along different temporal thresholds as well as conducting structural and functional MRI scanning of MT+. Our findings show pronounced sex differences in major brain parameters within the left MT+ (but not the right MT+, i.e., laterality). In particular, males demonstrate (i) larger gray matter volume (GMV) and higher brain's spontaneous activity at the fastest infra-slow frequency band in the left MT+; and (ii) stronger functional connectivity between the left MT+ and the left centromedial amygdala (CM). Meanwhile, both female and male participants exhibited comparable correlations between motion perception ability and the multimodal imaging indexes of the MT+ region, i.e., larger GMV, higher brain's spontaneous activity, and faster motion discrimination. Our findings reveal sex differences of imaging indicators of structure and function in the MT+ region, which also relate to the temporal threshold of motion discrimination. Overall, these results show how behavioral sex differences in visual motion perception are generated, and advocate considering sex as a crucial biological variable in both human brain and behavioral research.

Overcoming the Challenge of “Green Enough”: Exploring the Dark Side of Incremental Green Options

ABSTRACTPrevious research has predominantly focused on transitioning individuals’ behavior from environmentally unfriendly to environmentally friendly, ignoring the challenge of how to replace incremental green options with the most green ones. Contrary to the widely held belief that all “green” options are beneficial, this study investigates when and how incremental green options— options offering some environmental benefits but not fully pro‐environmental—can reduce individuals’ willingness to choose the most green option. We discovered that individuals tend to forgo the most green options when incremental green options are available (Study 1, Study 2 & Study 3). Furthermore, by informing participants about the adequacy of different levels of environmental friendliness, we found that the options just surpassing the designated threshold were the most popular (Study 2). Additionally, the anticipated guilt mediates the negative effect of incremental green options (Study 2, Study 3, and Study 4). Study 3 reveals that when individual environmental efficacy is activated, the negative impact of presence of incremental green options on consumer choice of the most green ones is mitigated. Study 4 finds that more consumers chose the most green option over the incremental green option when the latter was presented with negative framing or two‐sided framing (compared to positive framing). This study offers a new perspective on pro‐environmental behavior research and enhance our understanding of the role of incremental green options in green marketing.

A guide for planning triangulation studies to investigate complex causal questions in behavioural and psychiatric research.

At the basis of many important research questions is causality - does X causally impact Y? For behavioural and psychiatric traits, answering such questions can be particularly challenging, as they are highly complex and multifactorial. 'Triangulation' refers to prospectively choosing, conducting and integrating several methods to investigate a specific causal question. If different methods, with different sources of bias, all indicate a causal effect, the finding is much less likely to be spurious. While triangulation can be a powerful approach, its interpretation differs across (sub)fields and there are no formal guidelines. Here, we aim to provide clarity and guidance around the process of triangulation for behavioural and psychiatric epidemiology, so that results of existing triangulation studies can be better interpreted, and new triangulation studies better designed. We first introduce the concept of triangulation and how it is applied in epidemiological investigations of behavioural and psychiatric traits. Next, we put forth a systematic step-by-step guide, that can be used to design a triangulation study (accompanied by a worked example). Finally, we provide important general recommendations for future studies. While the literature contains varying interpretations, triangulation generally refers to an investigation that assesses the robustness of a potential causal finding by explicitly combining different approaches. This may include multiple types of statistical methods, the same method applied in multiple samples, or multiple different measurements of the variable(s) of interest. In behavioural and psychiatric epidemiology, triangulation commonly includes prospective cohort studies, natural experiments and/or genetically informative designs (including the increasingly popular method of Mendelian randomization). The guide that we propose aids the planning and interpreting of triangulation by prompting crucial considerations. Broadly, its steps are as follows: determine your causal question, draw a directed acyclic graph, identify available resources and samples, identify suitable methodological approaches, further specify the causal question for each method, explicate the effects of potential biases and, pre-specify expected results. We illustrated the guide's use by considering the question: 'Does maternal tobacco smoking during pregnancy cause offspring depression?'. In the current era of big data, and with increasing (public) availability of large-scale datasets, triangulation will become increasingly relevant in identifying robust risk factors for adverse mental health outcomes. Our hope is that this review and guide will provide clarity and direction, as well as stimulate more researchers to apply triangulation to causal questions around behavioural and psychiatric traits.

Trends and patterns in behavioral accounting research: 53 years of bibliometric analysis

Trends and patterns in behavioral accounting research: 53 years of bibliometric analysis

Anthropomorphic Design in Mortality Salience Situations: Exploring Emotional and Non-Emotional Mechanisms Enhancing Consumer Purchase Intentions

This study investigates the role of anthropomorphic design in alleviating consumer anxiety induced by mortality salience and delves into the underlying emotional and non-emotional mechanisms. Through a series of meticulously designed experiments, we confirm that anthropomorphic design significantly enhances positive emotional responses in consumers, reduces negative emotions, and thereby increases their preference and willingness to purchase products. Even after the diminution of emotional reactions, anthropomorphic design continues to sustain consumer preference by enhancing psychological intimacy. These findings reveal the crucial role of anthropomorphic design as an effective emotional regulation strategy in consumer purchasing behavior, enriching the application of terror management theory and emotion regulation theory in consumer behavior research. Furthermore, our study provides valuable practical guidance for product design and marketing strategies, especially for consumer groups frequently facing high-pressure situations. Products with anthropomorphic designs may be more appealing to these consumers, helping to mitigate their death anxiety and enhance psychological well-being.

Detecting Autism from Head Movements using Kinesics.

Head movements play a crucial role in social interactions. The quantification of communicative movements such as nodding, shaking, orienting, and backchanneling is significant in behavioral and mental health research. However, automated localization of such head movements within videos remains challenging in computer vision due to their arbitrary start and end times, durations, and frequencies. In this work, we introduce a novel and efficient coding system for head movements, grounded in Birdwhistell's kinesics theory, to automatically identify basic head motion units such as nodding and shaking. Our approach first defines the smallest unit of head movement, termed kine, based on the anatomical constraints of the neck and head. We then quantify the location, magnitude, and duration of kines within each angular component of head movement. Through defining possible combinations of identified kines, we define a higher-level construct, kineme, which corresponds to basic head motion units such as nodding and shaking. We validate the proposed framework by predicting autism spectrum disorder (ASD) diagnosis from video recordings of interacting partners. We show that the multi-scale property of the proposed framework provides a significant advantage, as collapsing behavior across temporal scales reduces performance consistently. Finally, we incorporate another fundamental behavioral modality, namely speech, and show that distinguishing between speaking- and listening-time head movementsments significantly improves ASD classification performance.

Neurodivergent Leadership: An Underutilized Resource

This article examines the underutilized leadership potential of neurodivergent individuals in the workplace. Drawing from research in neurodiversity, leadership, and organizational behavior, it explores the inherent competencies commonly possessed by those with autism, ADHD, dyslexia, and other neurologically diverse conditions that can make them well-suited for senior roles when provided the proper developmental support. Strategies are proposed for nurturing neurodivergent talents into executive strengths through unbiased assessments, cultivating self-awareness, customized coaching, mentorship, and outcome-based promotion and evaluation. Real-world cases are also presented of accomplished neurodivergent leaders achieving success in technology and finance by capitalizing on their divergent cognitive gifts. The brief argues neurodivergent traits represent untapped brainpower when organizations focus on performance over traits, make proactive environmental adjustments, and view neurodiversity as a priority for inclusion rather than assimilation alone. Unlocking neurodivergent potential represents a pathway to transformational results for progressive firms.

Mental Bandwidth is Associated with HIV and Viral Suppression Among Low-Income Women in Philadelphia.

Behavioral economics research suggests poverty may influence behavior by reducing mental bandwidth, increasing future discounting, and increasing risk aversion. It is plausible these decision-making processes are further impaired in the context of HIV or pregnancy. In this cross-sectional study of 86 low-income women in Philadelphia, HIV was associated with lower mental bandwidth (one of two measures) and lower risk aversion. Pregnancy was not associated with any decision-making factors. In secondary analyses, viral suppression was associated with greater mental bandwidth (one of two measures), and antenatal clinic attendance with lower future discounting. Anti-poverty interventions may be beneficial to improve HIV-related health behaviors.

Revisiting the specific and potentially independent role of the gonad in hormone regulation and reproductive behavior.

Gonadal sex steroid hormones are well-studied modulators of reproductive physiology and behavior. Recent behavioral endocrinology research has focused on how the brain dynamically responds to - and may even produce - sex steroids, but the gonadal tissues that primarily release these hormones receive much less attention as a potential mediator of behavioral variation. This Commentary revisits mechanisms by which the reproductive hypothalamic-pituitary-gonadal (HPG) axis can be modulated specifically at the gonadal level. These mechanisms include those that may allow the gonad to be regulated independently of the HPG axis, such as receptors for non-HPG hormones, neural inputs and local production of conventional 'neuropeptides'. Here, I highlight studies that examine variation in these gonadal mechanisms in diverse taxa, with an emphasis on recent transcriptomic work. I then outline how future work can establish functional roles of gonadal mechanisms in reproductive behavior and evaluate gonad responsiveness to environmental cues. When integrated with neural mechanisms, further investigation of gonadal hormone regulation can yield new insight into the control and evolution of steroid-mediated traits, including behavior.

Neural correlates of preschoolers' passive-viewing false belief: Insights into continuity and change and the function of right temporoparietal activity in theory of mind development.

Behavioral research demonstrates a critical transition in preschooler's mental-state understanding (i.e., theory of mind; ToM), revealed most starkly in performance on tasks about a character's false belief (e.g., about an object's location). Questions remain regarding the neural and cognitive processes differentiating children who pass versus fail behavioral false-belief tasks and the extent to which there is continuity versus change in the ToM neural network. To address these questions, we analyzed event-related spectral power in the electroencephalogram (EEG) to investigate how preschoolers' neural activity during passive viewing of false-belief scenarios related to their explicit behavioral ToM performance. We found that neural activity during passive viewing of false-belief events (6-9Hz EEG 'alpha' suppression in right temporoparietal [RTP] electrodes) strongly related to children's explicit ToM. However, children's RTP alpha suppression differed depending on their explicit behavioral ToM performance: Children who did better on a broad battery of standard ToM tasks and who passed explicit behavioral false-belief tasks showed greater RTP alpha suppression when the character's belief first became false (during the 'location-change' event); whereas children who did worse on the ToM battery and who failed explicit behavioral false-belief tasks showed greater RTP alpha suppression only later when they could evaluate the character's behavior in the context of prior events (during the 'active-search' event). Findings shed light on what differentiates preschoolers who pass versus fail explicit false-belief tasks and raise questions about how to interpret existing neuroscience data from ToM tasks across infancy to adulthood. RESEARCH HIGHLIGHTS: Preschool children's neural activity (EEG 6-9Hz suppression in right temporoparietal [RTP] electrodes) during passive-viewing of false-belief events was related to their explicit behavioral theory-of-mind performance. Children who did better on a theory-of-mind (ToM) battery and passed explicit false-belief tasks showed greater RTP alpha suppression when the character's belief first became false. Children who performed worse on the ToM battery and failed explicit false-belief tasks showed greater RTP alpha suppression later when observing the character's search behavior. Findings reveal change in preschoolers' ToM neural correlates and suggest that the presence of RTP activity does not necessarily indicate 'mature' theory of mind.

Animal emotions and consciousness: a preliminary assessment of researchers' perceptions and biases and prospects for future progress.

Scientists and philosophers have long struggled with the question of whether non-human animals experience emotions or consciousness. Yet, it is unclear where the scientific consensus on these topics lies today. To address this gap, we administered a survey of professional animal behaviour researchers to assess perceptions regarding (i) the taxonomic distribution of emotions and consciousness in non-human animals, (ii) respondents' confidence in this assessment, and (iii) attitudes towards pitfalls and potential for progress when addressing these questions. Respondents (n = 100) ascribe emotionality and consciousness to a broad swath of the animal taxonomy, including non-human primates, other mammals, birds and cephalopods. Respondents' attribution of these phenomena was strongly associated with their confidence in their assessments (R 2 > 0.9), with respondents assuming an absence of emotions and consciousness when they were unsure. We also identify an emergent consensus of the components involved in a functional definition of emotions. Researchers are optimistic that tools either currently exist or will exist in the future to rigorously address these questions (>85%) and that animal behaviour, as a field, should do more to encourage research works on emotions (>70%). We discuss implications for publication bias and future work in this area as well as ethical considerations regarding animal care and use.

Development of marketing research technologies as the basis of a socially responsible marketing strategy

The object of this study was the trends in the development of marketing research technologies as a basis for the strategy of socially responsible marketing. The study is aimed at solving the problem of increasing the effectiveness of the marketing strategy under the influence of digital marketing research technologies. It has been proven that under the conditions of increased competition and transformation of consumer needs, the strategy of socially responsible marketing acquires great relevance. It has been established that the use of digital marketing research technologies significantly increases the effectiveness of the strategy of socially responsible marketing, ensuring a high degree of transparency and openness of its directions. The main stages of the development of marketing research technologies have been detailed – market research, consumer behavior research, the beginning of digitization, and the digital revolution. Digital technologies, on the basis of which marketing research will be conducted in the future, have been identified – Big Data, blockchain, artificial intelligence, the Internet of Things, augmented and virtual reality. The relationship between digital technologies of marketing research and directions of socially responsible marketing strategy was substantiated. It has been established that the effectiveness of the socially responsible marketing strategy should be determined on the basis of key performance indicators (KPI) based on the elements of the 4P complex. Schemes for researching the effectiveness of areas of social responsibility for individual elements of the marketing complex based on digital technologies are proposed. On this basis, a model of the influence of digital technologies on the KPI strategy of socially responsible marketing was developed and its advantages were substantiated. The practical use of the proposed approach could provide an opportunity to choose a specific marketing research technology depending on the target orientations of social responsibility of marketing. This would provide maximum information content and support for the strategy development and implementation process.

Research of financial behavior under uncertainty: The theory of the issue

Research of financial behavior under uncertainty: The theory of the issue