Patterns Of Interactive Behavior Research Articles

From Data to Insights: Machine Learning Empowers Prognostic Biomarker Prediction in Autism.

Autism Spectrum Disorder (ASD) poses significant challenges to society and science due to its impact on communication, social interaction, and repetitive behavior patterns in affected children. The Autism and Developmental Disabilities Monitoring (ADDM) Network continuously monitors ASD prevalence and characteristics. In 2020, ASD prevalence was estimated at 1 in 36 children, with higher rates than previous estimates. This study focuses on ongoing ASD research conducted by Erciyes University. Serum samples from 45 ASD patients and 21 unrelated control participants were analyzed to assess the expression of 372 microRNAs (miRNAs). Six miRNAs (miR-19a-3p, miR-361-5p, miR-3613-3p, miR-150-5p, miR-126-3p, and miR-499a-5p) exhibited significant downregulation in all ASD patients compared to healthy controls. The current study endeavors to identify dependable diagnostic biomarkers for ASD, addressing the pressing need for non-invasive, accurate, and cost-effective diagnostic tools, as current methods are subjective and time-intensive. A pivotal discovery in this study is the potential diagnostic value of miR-126-3p, offering the promise of earlier and more accurate ASD diagnoses, potentially leading to improved intervention outcomes. Leveraging machine learning, such as the K-nearest neighbors (KNN) model, presents a promising avenue for precise ASD diagnosis using miRNA biomarkers.

Autism spectrum disorder is associated with multifold risks in the process of pregnancy: Imbalance of nutritional, environmental and social behavioral aspects

Autism spectrum disorder (ASD) is characterized by qualitative impairments in social interaction, communication, and stereotyped behavior patterns. The cost burden for health coverage for ASD is focused on educational applied behavioral analysis and psychotropic drugs to decrease maladaptive behaviors and support learning and development. Determinants of either risk factors or prevention related to ASD covering environmental, social-behavioral, and genetic are still unknown. This review focuses on the multifold risks of Autistic disorder (ASD), including environmental, genetic, and food supplemental concerns and health policies and regulations.

Cognitive Differences and the Coding Analysis of the Interaction Behavior Patterns in the Innovation Team.

Despite a wealth of research on the interaction behavior patterns among team members from different angles, few studies focus on the combination of innovation management and innovation team. With the “Input-Process-Output” theoretical framework, this study takes the coding analysis to explore the differences in the interaction behavior patterns of members caused by the cognitive differences in the higher and lower innovative-performing teams. An innovation experiment was conducted in 12 innovation teams based on an experimental paradigm proposed for team innovation tasks. Subsequently, team members’ 1,754 behaviors were coded to analyze the similarities and differences in the interaction behavior patterns between higher and lower innovative-performing teams with lag sequential analysis. The results revealed that both higher and lower innovative-performing teams showed some same interaction behavior patterns. More specifically, the probability of idea facilitation behaviors being followed by team spirit facilitation behaviors was significantly higher than expected, while the probability of idea facilitation behaviors recurring was significantly lower than expected. However, in lower innovative-performing teams, there were some special interaction behavior patterns, such as “the probability of idea facilitation behaviors being followed by neutral interaction or idea inhibition behaviors was significantly lower than expected.” These phenomena may reflect some realistic situations in our life, such as “One echoes the other,” “Sitting on the sidelines” and “A gentleman is ready to die for his bosom friends” in the members’ interaction after cognitive differences happen. This paper provides opinions and suggestions for the research on the interaction behavior observation and coding analysis among members of innovation teams, as well as theoretical contributions to the research on the behavior observation of innovation teams.

Anaysis of teacher⋅student interaction and nonverbal communication behavior patterns in elementary inquiry classes

목적 본 연구는 초등학교 탐구수업에 나타난 교사와 학생 간 상호작용과 비언어적 의사소통 행동 패턴을 분석하여 새로운 교육적 요구에서 강조하고 있는 교사의 의사소통 역량 향상을 위한 기초자료를 제공하는데 있다. 방법 교사와 학생의 상호작용의 중요성을 강조하면서도 다양한 수업방식과 교수 실천에 있어 실제 교실 상황을 분석하는 일은 주로 발문이나 언어적 의사소통 연구에 치중해 왔으나 본 연구에서는 교사와 학생의 의사소통 과정에서 다양한 비언어적 의사소통 행동의 실증적인 데이터를 수집하고 분석하였다. 이를 위해 탐구수업 관찰 프로토콜(RTOP)과 행동 분석 프로그램(Observer XT)을 활용하였고, 현직 교사 3명의 실제 수업 촬영 영상을 대상으로 상호작용과 비언어적 의사소통 행동 데이터를 수집하였고, 이를 분석하였다. 결과 교사와 학생의 RTOP 분석에서 상호작용 척도 측정결과에서 상호작용 척도가 가장 높게 나타난 탐구수업에서 비언어적 의사소통 행동의 하위 요소 중 정보제공 및 설명시 제스처를 사용하는 비율도 높게 나타났다. 수업에서 교사가 중심일 때 보다 학생 중심으로 진행될 때, 교사와 학생의 친밀한 거리, 학생 개개인과의 눈 맞춤 비율이 늘어났고, 학생들의 질문과 요구에 직접적으로 반응하는 행동 패턴이 두드러졌다. 본 연구에 참여한 교사들의 수업 영상에서는 학생들을 평가 하거나 피드백 하는 빈도는 거의 나타나지 않았고, 중요한 정보 제공 시 모두 목소리에 적절한 변화를 주어 전달하고자 하는 바를 강조하는 것으로 나타났다. 결론 현재뿐만 아니라 앞으로 변화될 것으로 예상되는 미래 수업에서 학습자 중심의 수업이 더욱 강조되고 지속적으로 확대되어 나갈 것이라고 볼 때, 새로운 교육적 요구에서 강조하고 있는 교사의 의사소통 역량은 단순한 학생들의 참여의 여부와 활동 의미를 두기보다는 상호작용 시 비언어적 의사소통 행동의 중요성을 인식하고 이를 잘 활용하는 것이 아동들에게 의미있다는 것을 시사한다.

Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis

Diagnosis of autism spectrum disorder (ASD) can use a fuzzy inference system. The use of fuzzy logic method to obtain ASD diagnosis results according to experts based on the limits of factors/symptoms of the disease and all the rules obtained from experts. Recommendations for therapy and preventive actions can be given by experts after knowing the results of the diagnosis of ASD using the fuzzy logic method. This study serves to diagnose ASD by optimizing each degree of membership in the fuzzy logic method with the Mamdani method approach which is involved in the autism detection process involving 96 patient data. The Mamdani method itself can process an uncertain value from the user/patient into a definite value whose membership degree can be determined and adjusted to the conditions of the problem. Optimization was carried out on the degree of membership for all variables involved in the process of diagnosing ASD, namely social interaction, social communication and imagination and behavior patterns. The results of this study indicate a relatively small level of fuzzy calculation error with a precision value of 94.4%, a recall precision value of 65.4% and an error rate value of 3.05%. Calculation of accuracy shows a result of 90.59%.

UAV swarm containment control inspired by spatial interaction mechanism of wolf-pack foraging

<p indent=0mm>The containment control of unmanned aerial vehicle (UAV) swarms with limited perception ranges is different from the traditional swarm control problem since the communication topology cannot ensure global connectivity all the time due to limited sensing. Although algorithms based on artificial potentials provide possible solutions by introducing attractions and repulsion to maintain the swarm consensus, the regular requirement of perfect target-sensing for all UAV nodes is not feasible in most cases. Specifically, in some mission environments, signal interferences may cause the loss of node detection, and the losers may need the help of adjacent nodes to maintain formation stability, thus leading to spontaneous heterogeneous clusters specified by the functionalities of UAVs. Wolves are typical opportunistic predators that hunt prey by group coordination, whereas the spatial layout and interactive behavioral patterns are specific characteristics in the wolf-pack hunting processes. First, based on the analysis of empirical data, we propose a hierarchical wolf-pack interactive dynamics model, which employs the spatial probability distribution to modulate the strengths of the interactive potentials. Furthermore, we propose a heterogeneous enclosing control law for UAV swarms, which combines interactive dynamics with a hierarchical target observer. Through the hierarchical layout and adaption of interaction strengths, the interaction effects between weak and reliable nodes can be enhanced, which, in turn, improves system robustness under restricted perception abilities. Simulation results show the advantages of the proposed method on the control stability and relaxed demand for airborne sensing with perception limitations and fitness to harsh mission environments.

Changes in Children with Autism Spectrum Disorder after Theraplay Application.

ObjectivesThis study identified changes in social communication and interaction among children with autism spectrum disorder (ASD) through Theraplay.MethodsThis study included 20 children who were diagnosed with ASD by a child and adolescent psychiatrist and were recommended to undergo Theraplay in 2012–2017. The Marschak interaction method was used to identify and analyze the interactions between parents and their children. The Korean version of the Social Communication Questionnaire (K-SCQ) was used to evaluate symptoms of ASD. The Wilcoxon signed-rank test was used to compare the differences before and after Theraplay.ResultsUpon comparing the differences in total K-SCQ scores, there were statistically significant changes (z=-3.269, p=0.001) in children with ASD. Changes were also confirmed in each category, namely social interaction, communication, and limited and repetitive behavior patterns (p=0.011, p=0.025, p=0.039, respectively).ConclusionThis study found that Theraplay may cause significant changes in social communication in children with ASD. Further studies are needed to establish the effectiveness of Theraplay in children with ASD.

Supporting Youth With Autism Learning Social Competence: A Comparison of Game-and Nongame-Based Activities in 3D Virtual World

This study explored youth with Autism Spectrum Disorder (ASD) learning social competence in the context of innovative 3D virtual learning environment and the effects of gaming as a central element of the learning experience. The empirical study retrospectively compared the social interactions of 11 adolescents with ASD in game-and nongame-based 3D collaborative learning activities in the same social competence training curriculum. We employed a learning analytics approach - association rule mining to uncover the associative rules of verbal social interaction and nonverbal social interaction contributors from the large dataset of the coded social behaviors. By comparing the rules across the game and nongame activities, we found a significant difference in youth with ASD’s social performance. The results of the group comparison study indicated that the co-occurrence of verbal and nonverbal behaviors is much stronger in the game-based learning activities. The game activities also yielded more diverse social interaction behavior patterns. On the other hand, in the nongame activities, students’ social interaction behavior patterns are much more limited. Furthermore, the impact of game design principles on learning is then discussed in this paper.

ATENCIÓN TEMPRANA EN EL TRASTORNO DEL ESPECTRO AUTISTA: ESTADO DE LA CUESTIÓN Y DESAFÍOS PENDIENTES

El trastorno del espectro del autismo (TEA) constituye, actualmente, una de lasalteraciones del desarrollo con mayores tasas de prevalencia. Sus elevadas cifras, unidas a lasdificultades para la comunicación e interacción social, los patrones repetitivos y estereotipadosde comportamiento y el repertorio limitado de intereses que presentan los menores conTEA, lo convierten, en la práctica, en una de las cuestiones más complejas para la sociedady, en consecuencia, para los profesionales educativos. En este trabajo se abordan los principaleshitos respecto a estas cuestiones, así como la consideración de la atención temprana(AT) como un elemento fundamental para hacer frente a este reto. En efecto, las técnicas dedetección precoz e intervención interdisciplinar con el menor, la familia y el entorno, queofrece la AT, representan una estrategia de reconocida eficacia. Sin embargo, los avances enla investigación y los cambios experimentados en la conceptualización del trastorno, juntocon el impulso que supone el nuevo paradigma de AT, plantean la necesidad de avanzar en elconocimiento sobre los desafíos que aún quedan sin resolver en este ámbito.

Multi-attributed heterogeneous graph convolutional network for bot detection

Bot detection is a fundamental and crucial task for tracing and mitigating cyber threats in the Internet. This paper aims to address two major limitations of current bot detection systems. First, existing flow-based bot detection approaches ignore structural information of botnets, which lead to false detection. Second, they cannot identify the interactive behavioral patterns among heterogeneous botnet objects. In this paper, we propose a novel bot detection framework, namely Bot-AHGCN, which models fine-grained network flow objects (e.g., IP, response) as a multi-attributed heterogeneous graph and transforms bot detection problem into a semi-supervised node classification task on the graph. Particularly, we first build a multi-attributed heterogeneous information network (AHIN) to model the interdependent relationships among botnet objects. Second, we present a weight-learning based node embedding method, which learns the interactive behavioral patterns among bots and integrates them into weighted similarity graphs. Finally, we perform graph convolution on the learned similarity graphs to characterize more comprehensive and discriminative features of bots, and feed them into a forward neural network to identify bots. The overall experimental results on two real-world datasets confirm that Bot-AHGCN outperforms the existing state-of-the-art approaches, and presents better interpretability by introducing meaningful meta-paths and meta-graphs.

Advisor Interaction Goals and Verbal Messages: Merging a Multiple Goals Approach and the Integrated Model of Advice Giving

Based on the integrated model of advice giving and theorizing about interaction goals, we examined how advisors’ goal intensity and complexity predicted perceptions of advisor harmfulness and helpfulness. We also examined predictors of goal intensity and complexity, such as advisors’ relational satisfaction with recipients, which generally increased goal intensity and complexity. Recipients and advisors rated advisors’ behaviors as more helpful when advisors reported greater intensity of the problem-solving goal but not the other three goals (emotional support, eliciting disclosure, and facilitating reappraisal). However, recipients and advisors rated advisors’ behaviors as more harmful when advisors had low versus moderate or high goal complexity. Qualitative analyses of conversation transcripts revealed patterns of interaction behavior associated with goal intensity and complexity. We discuss how goal intensity and complexity may relate to advisors’ messages and interaction patterns during the conversation, and therefore recipient and advisor perceptions of advisors’ helpfulness and harmfulness.

PENERAPAN STRATEGI E-MARKETING COMMUNICATION DAN EKUITAS MEREK SIARANKU.COM TERHADAP LOYALITAS VIEWERS

The development of communication technology has brought changes to the patterns of human interaction behavior which continue competing to innovate in developing and utilizing increasingly sophisticated communication technologies. In this study, researchers were using theories and concepts that support the basis of being integrated, such as Integrated Marketing Communication, Brands, Brand Equity, and Consumer Loyalty. Researchers were using a supportive method to be used as a methodology such as positivistic paradigm, quantitative approach, survey strategy using questionnaires, sampling techniques using the formula taro yamane, and data processing techniques using probability sampling - simple random sampling. The results showed that e-marketing communication and brand equity have a strong influence on the loyalty of siaranku.com viewers and have a validity level that meets the requirements.

Effects of the group leadership promotion approach on students’ higher order thinking awareness and online interactive behavioral patterns in a blended learning environment

ABSTRACTThe present study aims to incorporate a group leadership promotion approach into collaborative learning tasks in the hope of developing students’ creativity, problem-solving, and critical thinking. In order to evaluate the effectiveness of the proposed approach, we recruited 59 cross-professional students from a university in northern Taiwan, and divided them into an experimental group (6 sub-groups) and a control group (6 sub-groups). The experimental group students learned with the group leadership promotion approach, while the control group learned with conventional blended learning approach. The results show that the students could better develop their creativity, problem-solving, critical thinking, and learning achievement via the group leadership promotion approach. Lastly, sequential analysis of their behaviors indicated that students’ interaction with group leadership in online collaborative learning can promote many more creative ideas and comments, enhance reaching a consensus and making conclusions, and finally, facilitate completion of the group learning tasks.

On Annotation Methodologies for Image Search Evaluation

Image search engines differ significantly from general web search engines in the way of presenting search results. The difference leads to different interaction and examination behavior patterns, and therefore requires changes in evaluation methodologies. However, evaluation of image search still utilizes the methods for general web search. In particular, offline metrics are calculated based on coarse-fine topical relevance judgments with the assumption that users examine results in a sequential manner. In this article, we investigate annotation methods via crowdsourcing for image search evaluation based on a lab-based user study. Using user satisfaction as the golden standard, we make several interesting findings. First, instead of item-based annotation, annotating relevance in a row-based way is more efficient without hurting performance. Second, besides topical relevance, image quality plays a crucial role when evaluating the image search results, and the importance of image quality changes with search intent. Third, compared to traditional four-level scales, the fine-grain annotation method outperforms significantly. To our best knowledge, our work is the first to systematically study how diverse factors in data annotation impact image search evaluation. Our results suggest different strategies for exploiting the crowdsourcing to get data annotated under different conditions.

A cognition-centered personalization framework for cultural-heritage content

The heterogeneity of the audience of cultural heritage institutions introduces numerous challenges to the delivery of the content. Considering that people differ in the way they perceive, process, and recall information and that their individual cognitive differences influence their experience, performance, and knowledge acquisition when performing cultural-heritage activities, the human-cognition factor should be considered as an important personalization factor within cultural-heritage contexts. To this end, we propose a cognition-centered personalization framework for delivering cultural-heritage activities, tailored to the users’ cognitive characteristics. The framework implements rule-based personalization algorithms that are based on cognition-centered user models that are created implicitly, transparently, and in run-time based on classifiers that correlate end-user cognitive characteristics with interaction and visual behavior patterns. For evaluating the proposed framework and improving the external validity of the experimental results, we conducted two eye-tracking between-subjects user-studies ( $$N=226$$ ) covering two different cognitive styles (field dependence–independence and visualizer–verbalizer) and two different types of cultural activity (visual goal-oriented and visual exploratory). The results provide evidence about the applicability, effectiveness, and efficiency of the proposed framework and underpin the added value of adopting cognition-centered personalization frameworks within digitized cultural-heritage interaction contexts.

Examining the Reversibility of Long-Term Behavioral Disruptions in Progeny of Maternal SSRI Exposure.

Serotonergic dysregulation is implicated in numerous psychiatric disorders. Serotonin plays widespread trophic roles during neurodevelopment; thus perturbations to this system during development may increase risk for neurodevelopmental disorders. Epidemiological studies have examined association between selective serotonin reuptake inhibitor (SSRI) treatment during pregnancy and increased autism spectrum disorder (ASD) risk in offspring. It is unclear from these studies whether ASD susceptibility is purely related to maternal psychiatric diagnosis, or if treatment poses additional risk. We sought to determine whether maternal SSRI treatment alone or in combination with genetically vulnerable background was sufficient to induce offspring behavior disruptions relevant to ASD. We exposed C57BL/6J or Celf6+/- mouse dams to fluoxetine (FLX) during different periods of gestation and lactation and characterized offspring on tasks assessing social communicative interaction and repetitive behavior patterns including sensory sensitivities. We demonstrate robust reductions in pup ultrasonic vocalizations (USVs) and alterations in social hierarchy behaviors, as well as perseverative behaviors and tactile hypersensitivity. Celf6 mutant mice demonstrate social communicative deficits and perseverative behaviors, without further interaction with FLX. FLX re-exposure in adulthood ameliorates the tactile hypersensitivity yet exacerbates the dominance phenotype. This suggests acute deficiencies in serotonin levels likely underlie the abnormal responses to sensory stimuli, while the social alterations are instead due to altered development of social circuits. These findings indicate maternal FLX treatment, independent of maternal stress, can induce behavioral disruptions in mammalian offspring, thus contributing to our understanding of the developmental role of the serotonin system and the possible risks to offspring of SSRI treatment during pregnancy.

Statement of Retraction: Human reactions to rape culture and queer performativity at urban dog parks in Portland, Oregon

AbstractThis article addresses questions in human geography and the geographies of sexuality by drawing upon one year of embedded in situ observations of dogs and their human companions at three public dog parks in Portland, Oregon. The purpose of this research is to uncover emerging themes in human and canine interactive behavioral patterns in urban dog parks to better understand human a-/moral decision-making in public spaces and uncover bias and emergent assumptions around gender, race, and sexuality. Specifically, and in order of priority, I examine the following questions: (1) How do human companions manage, contribute, and respond to violence in dogs? (2) What issues surround queer performativity and human reaction to homosexual sex between and among dogs? and (3) Do dogs suffer oppression based upon (perceived) gender? It concludes by applying Black feminist criminology categories through which my observations can be understood and by inferring from lessons relevant to human and dog interactions to...

Prenatal and postnatal bisphenol A exposure and social impairment in 4-year-old children

BackgroundPrenatal and postnatal exposure to bisphenol A (BPA) may affect early brain development. Rodent studies suggest that prenatal and postnatal neurodevelopmental toxicity from BPA exposure may manifest as social deficits in offspring. We investigated the association between prenatal and postnatal exposure to BPA and social impairments in a sample of 4-year-old children.MethodsWe recruited second-trimester pregnant women between 2008 and 2011, and measured their creatinine-adjusted prenatal urine BPA levels. In 2014-2015, a subset of 4-year-old children born to these women underwent neurobehavioral assessment and physical examination. We collected urine and blood from the children and assessed social impairments, including deficits in social interaction, social communication, and other behavior patterns using the Korean version of the Social Communication Questionnaire (K-SCQ) (n = 304). We examined social impairments associated with prenatal exposure at mid-term pregnancy and postnatal exposure to BPA at 4 years of age, using linear and piecewise linear regression models.ResultsThe relationship between prenatal BPA exposure and social communication was non-linear and statistically significant at or above the flexion point for BPA levels of 3.0 μg/g creatinine in girls (58.4%, 95% confidence interval [CI], 6.5% to 135.8%). Each 2-fold increase in postnatal BPA exposure was significantly associated with an 11.8% (95% CI, 0.6% to 24.3%) increase in impairment in social communication in 4-year old girls, as indicated by the linear regression model.ConclusionPrenatal and postnatal BPA exposure is associated with social impairment at 4 years of age, particularly in girls.

Personas in online health communities

Many researchers and practitioners use online health communities (OHCs) to influence health behavior and provide patients with social support. One of the biggest challenges in this approach, however, is the rate of attrition. OHCs face similar problems as other social media platforms where user migration happens unless tailored content and appropriate socialization is supported. To provide tailored support for each OHC user, we developed personas in OHCs illustrating users’ needs and requirements in OHC use. To develop OHC personas, we first interviewed 16 OHC users and administrators to qualitatively understand varying user needs in OHC. Based on their responses, we developed an online survey to systematically investigate OHC personas. We received 184 survey responses from OHC users, which informed their values and their OHC use patterns. We performed open coding analysis with the interview data and cluster analysis with the survey data and consolidated the analyses of the two datasets. Four personas emerged—Caretakers, Opportunists, Scientists, and Adventurers. The results inform users’ interaction behavior and attitude patterns with OHCs. We discuss implications for how these personas inform OHCs in delivering personalized informational and emotional support.

Developing the Theater of Leadership

The Problem Recent models of leadership emphasize the importance of adaptive, strategic, and socio-emotional capabilities for success. The development of leadership has transformed from teaching about the concept to an experiential learning of leadership, an approach that focuses on identity and problem solving. Over the past decade, improvisational theater and interactive drama based leadership development has received increasing attention; moreover, many advocate its use as a powerful and innovative experiential learning tool, to foster self-awareness and increase ability to deal with the unexpected and unpredictable. Through simulated, unscripted scenarios with actors, improvisation allows experimentation, discovery, and rehearsal of leadership behavior in a group context. It generates individual, relational learning that is immediate, emergent, and relevant to the emotional and cognitive complexities of real-world leadership. There is a paucity of literature on theater-based leadership. This makes it difficult for HRD professionals to justify giving theater-based leadership development (TBLD) techniques preference over other, less resource-intensive techniques. The Solution This article proposes a practical model for the systematic evaluation of TBLD techniques . A pathway mapping approach will be used. The model draws on recent social psychology research on social interaction and identity. Based on this, “micro” analytic techniques of discursive psychology and conversation analysis are proposed to examine patterns of leadership interaction behavior. The findings are to be used as a basis for building a “high fidelity,” evidence-based methodology for role-play and improvisation as development training for leaders. The approach offers a clear framework for HRD professionals. It will be used to analyze and inform the effective use of TBLD. This article is purely theoretical; it does not include empirical research. The Stakeholders Many can potentially benefit by using TBLD techniques, including human resource (HR) professionals and HRD practitioners, leadership development specialists and training providers, organization development practitioners, and professional actor trainers.