Interactive Behavior Research Articles

Promoting students' creative self-efficacy, critical thinking and learning performance: An online interactive peer assessment approach guided by constructivist theory in maker activities

Peer assessment is acknowledged as a potent strategy that motivates students to engage in reflection and comparison through the evaluation of their peers' work. However, the effectiveness of peer assessment is not always satisfactory due to a number of factors, such as lack of in-depth understanding of peers' work and insufficient motivation for the behavior of evaluation. Based on constructivist theory, this study proposed an Understanding-Evaluation-Backward Evaluation-Reflection based peer assessment (UEBR-PA) approach, which directs students to comprehensively grasp their peers' projects, undertake efficient evaluations, provide retrospective reviews on others' feedback, and ultimately, integrate this collective feedback to refine and enhance their own projects. To evaluate the effectiveness of the proposed approach, a quasi-experiment was conducted in an Open-Source Hardware Project Design course with 54 university students from two classes. One class was assigned as the experimental group to conduct the peer assessment using the proposed approach, while the other class was assigned as the control group to conduct the peer assessment using the conventional presentation-evaluation-communication based approach. The results of the study indicated that the UEBR-PA approach significantly increased students' creative self-efficacy, critical thinking tendency, and learning performance. Furthermore, students engaging with the UEBR-PA approach showcased more positive interactive assessment behaviors.

Analysis of Image Interaction and Social Motivation in Virtual Communities

The purpose of this paper is to explore the relationship between image interaction and social motivation in virtual communities, and take Instagram and TikTok as case studies. First, the conceptual characteristics of virtual communities and the defined forms of image interaction are analysed, and then the classification of social motivation and its impact on user behaviour are explored, as well as the role of image interaction in shaping the social ecosystem, the social atmosphere and the user's social network. In Instagram, image interaction behaviours were found to be positively correlated with user engagement, increasing users' exposure and social influence. In TikTok, on the other hand, social identity based on image interaction was closely related to user satisfaction, promoting user loyalty and stickiness to the platform. In summary, image interaction, as an important form of social behaviour in virtual communities, has a positive impact on the development of the community and the social experience of users, but it also needs to pay attention to issues such as information security and content regulation.

A distributed simulation study to investigate pedestrians’ road-crossing decisions and head movements in response to different vehicle kinematics in mixed traffic

The impending deployment of automated vehicles (AVs) will lead to mixed traffic conditions, where pedestrians will be required to interact with both AVs and human-driven vehicles. For traffic flow to be safe and efficient, AVs’ understanding of pedestrians’ behaviour and intention is as important as pedestrians’ perception of AVs’ status and intent. To investigate pedestrians’ road-crossing decisions and interactive behaviour in mixed traffic, a distributed simulation study was developed by linking a CAVE-based pedestrian simulator and a desktop driving simulator. Twenty-five pairs of pedestrians and drivers were recruited, and each pair experienced 32 trials, where pedestrians decided to cross (or not) before an approaching vehicle at an un-signalised, single-lane, road. The driving pattern of the approaching vehicle (controlled by either a predefined program or human driver) and braking mode (braking/non-braking) were manipulated. For the predefined vehicles, the braking pattern was subdivided into hard braking and soft braking to provide more kinematic variability. Human drivers were also instructed to yield, or not, in different trials. Pedestrians’ road-crossing decisions and head movements were recorded and analysed. Results revealed a significant difference in head-turning patterns between crossing and non-crossing manoeuvres, demonstrating pedestrians’ head movements as a valid indicator of their road-crossing intentions. Moreover, results identified a ‘last moment check’ behaviour before pedestrians’ crossing initiation, with a significant increase in head-turning during the last 2 s. Finally, pedestrians made a similar percentage of road crossings and displayed a similar pattern of head movements, in response to human-driven and predefined vehicles, suggesting that the difference of implicit cues in the current mixed traffic setup does not impact their behaviour prior to road crossings. The findings from this study extend our knowledge of how pedestrians behave when crossing the road in mixed traffic, particularly in terms of their head-turning behaviour. We hope this information can be used by future AVs to better predict pedestrians’ road-crossing intentions in urban settings.

Rally-around-the-destination? Changes in host-guest emotional solidarity after crises

Utilizing the political concept of “rally-around-the-flag”, this study takes Jiuzhai Valley as a case to construct a framework of host-guest emotional solidarity and examines the dynamics of such solidarity after an earthquake and the COVID-19 pandemic. Thematic and sentiment analyses are applied to interpret Sina Weibo data and the narratives derived from residents’ interviews as a form of triangulation. Results show that under crisis: (1) host-guest emotional solidarity includes shared beliefs, shared emotions, and interactive behaviors; (2) the short-term rally effect is emotion-driven and depends on “we-ness” relationships, emotional empathy, and place identity; (3) the long-term rally effect is value-driven and emerges when host-guest emotional empathy develops into value resonance through resource integration and relationship reconstruction. The results have implications for emotional solidarity theory and destination recovery in times of crisis.

Meta graph network recommendation based on multi-behavior encoding

As traditional recommendation systems ignore the hidden information among different user behaviors (such as clicks, add-to-favorites, add-to-cart, and purchases), this often leads to low accuracy in recommendation results. We propose a meta-graph network recommendation system via multi-behavior encoding (MBGR). Firstly, the graph convolutional neural network is used to extract features from various interactive behavior heterogeneous graphs of user-items for behavior heterogeneous modeling. Secondly, matrix decomposition algorithm and meta-knowledge learner are used respectively to process the semantic information of user behavior, and then attention mechanism is used to learn and distinguish the importance of different types of user item interaction behaviors. Finally, meta-knowledge transfer network is used to combine meta-learning paradigm and neural network framework to establish user target behavior recommendation. We conducted comparative experiments comparing MBGR with 7 different baseline models such as NCF and DMF. Extensive experiments on three real datasets (Tmall, Yelp, ML10M) demonstrate that the proposed MBGR method outperforms the baselines. The performance of MBGR is improved by 10.97 % on average with the metric of HR@10 and 10.96 % with the metric of NDCG@10. Under different top-N value evaluation conditions (HR@10, HR@7, NDCG@10, NDCG@7, etc.), the proposed model's performance can also be improved by more than 10 %, which proves the rationality and effectiveness of the proposed MBGR method.

Effects on Child Development and Parent-Child Interaction of the FACAM Intervention: A Randomized Controlled Study of an Interdisciplinary Intervention to Support Women in Vulnerable Positions through Pregnancy and Early Motherhood.

Health inequality can have a profound impact on a child's life. Maternal mental health challenges can hinder bonding, leading to impaired functioning and poorer child outcomes. To provide extra support for vulnerable pregnant women, the FACAM intervention offers the services of a health nurse or family therapist from pregnancy until the child starts school. This study examined the effects of FACAM intervention on pregnant women in vulnerable positions and their children until the child turned two years old. We randomly assigned 331 pregnant women to either FACAM intervention or care as usual and assessed them at baseline and when the infant was 3-6, 12-13.5, and 24 months old. The primary outcome was maternal sensitivity measured by Coding Interactive Behavior (CIB). Secondary outcomes included the parent-child relationship, child social-emotional development, child developmental progress, parent-child interaction, and child development. Our findings indicate that care-as-usual children were significantly more involved than FACAM children when the child was 4-6 months old (b = -0.25, [-0.42; -0.08] d = -0.42). However, we suspect this result is due to a biased dropout. We did not find any significant differences in any other outcomes. Therefore, the study suggests that the FACAM intervention is not superior to care as usual regarding child development and parent-child interaction outcomes.

Parent-child interactive behavior in a German sample of parents with and without a mental illness: model replication and adaption of the Coding Interactive Behavior system.

Studies using observational measures often fail to meet statistical standards for both reliability and validity. The present study examined the psychometric properties of the Coding Interactive Behavior (CIB) System within a German sample of parent-child dyads. The sample consisted of 149 parents with and without a mental illness and their children [n experimental group (EG) = 75, n control group (CG) = 74] who participated in the larger Children of Mentally Ill Parents at Risk Evaluation (COMPARE) study. The age of the children ranged from 3 to 12 years (M = 7.99, SD = 2.5). Exploratory factor analysis supported a five-factor model of the CIB with items describing 1) parental sensitivity/reciprocity, 2) parental intrusiveness, 3) child withdrawal, 4) child involvement, and 5) parent limit setting/child compliance. Compared to international samples, the model was reduced by two independent dyadic factors. Testing for predictive validity identified seven items with predictive power to differentiate parental group membership. The CIB factors did not seem to be sufficiently sensitive to illustrate differences in interaction within a sample of parents with various mental illnesses. To apply the CIB to the described sample or similar ones in the future, additional measurement instruments may be necessary.

A Study of Adolescents' Behavioral Responses to Public Events and Guidance Trends in Social Media Platforms

With the popularization and development of social media, adolescence has become an important platform for adolescents to express their views, exchange information and participate in society. The purpose of this paper is to explore in depth adolescents' behavioral responses to public events on social media and their guiding trends and to analyze adolescents' motivations for using social media, the manifestation of public events on social media, the application of social movement theories in social media research, and the modern transformation of public sphere theories. Using a mixed-methods design that combines quantitative and qualitative data analysis, this study provides a comprehensive picture of adolescents' behavioral patterns, motivations for participation, and social impact on social media, as well as their roles and challenges in public discourse. The study revealed that adolescents respond to a variety of types of public events, including posting, commenting, sharing, and engaging in hashtags. Adolescents' interactive behaviors on social media information diffusion, opinion formation, and social mobilization are important social impacts of adolescents' social media behaviors. They accelerate the spread of information through sharing and retweeting, participate in the discussion of public issues and have a direct impact on the formation of public opinion. In addition, social media has become an effective tool for mobilizing social action, and adolescents promote practical action and participation in public issues by interacting with and organizing online activities. This study proposes a series of coping strategies, including improving users' media literacy and information discernment, social media platforms to strengthen the regulation and auditing of information dissemination, and the government and the community to strengthen the regulation and governance of the social media field. This study provides new perspectives for understanding adolescents' social participation in the digital age, showing how social media, as a new public sphere, affects public discourse, social mobilization, and the formation of civic identity. The findings not only provide rich empirical material for sociological theories but also provide valuable insights for promoting social public participation, improving information quality, and advancing social progress. Future research can further explore the impact of social media on adolescents' social participation in different cultural and social contexts, as well as how to optimize the efficacy of social media as a platform for public discourse and social mobilization through educational and policy interventions.

Understanding the Roles of Excipients in Moisture Management in Solid Dosage Forms.

Excipients are ubiquitous in pharmaceutical products, and often, they can also play a critical role in maintaining product quality. For a product containing a moisture-sensitive drug, moisture can be deleterious to the product stability during storage. Therefore, using excipients that interact with moisture in situ can potentially alleviate product stability issues. In this study, the interactive behavior of starch with moisture was augmented by coprocessing maize starch with sodium chloride (NaCl) or magnesium nitrate hexahydrate [Mg(NO3)2·6H2O] at different concentrations (5 and 10%, w/w). The effect of the formulation on drug stability was assessed through the degradation of acetylsalicylic acid, which was used as the model drug. The results showed that coprocessing of the starch with either NaCl or Mg(NO3)2·6H2O impacted the number of water molecule binding sites on the starch and how the sorbed moisture was distributed. The coprocessed excipients also resulted in lower drug degradation and lesser changes in tablet tensile strength during post-compaction storage. However, corresponding tablet formulations containing physical mixtures of starch and salts did not yield promising outcomes. This study demonstrated the advantageous concomitant use of common excipients by coprocessing to synergistically mitigate the adverse effects of moisture and promote product stability when formulating a moisture-sensitive drug. In addition, the findings could help to improve the understanding of moisture-excipient interactions and allow for the judicious choice of excipients when designing formulations containing moisture-sensitive drugs.

Pedestrian trajectory prediction method based on automatic driving

Pedestrian trajectory prediction plays a crucial role in autonomous driving, as its accuracy directly affects the autonomous driving system’s comprehension of the environment and subsequent decision-making processes. Current trajectory prediction methods tend to oversimplify pedestrians to mere point coordinates, utilizing positional information to infer interactions among individuals while overlooking the temporal correlations between them, thereby excessively simplifying pedestrian characteristics. To address the aforementioned issues, this paper proposes a trajectory prediction model for autonomous driving applications, that takes into account both pedestrian motion characteristics and scene interaction. The model optimizes the LSTM unit structure twice, serving to learn correlations among long trajectories of pedestrians and to integrate multiple forms of information into the neighborhood interaction module. Furthermore, our model introduces dual attention mechanisms for individuals and scenes, focusing on the key motion points of individual pedestrians and their interactive behavior with others in busy scenarios. The efficacy of the model was validated on the MOT16 pedestrian dataset and the Daimler pedestrian path prediction dataset, outperforming mainstream methods with 8% and 10% reductions in Average Displacement Error and Final Displacement Error respectively.

Bearing–curling interaction of austenitic stainless steel thin sheet bolted connections

The bearing–curling interactive behaviour and capacities of austenitic stainless steel thin sheet bolted connections are studied in this paper, underpinned by testing and numerical modelling. Experiments were firstly conducted on 26 austenitic stainless steel thin sheet bolted connection specimens, including 19 specimens designed with curling and 7 specimens designed without curling. The test failure loads, failure modes, load–in-plane elongation curves and load–out-of-plane deformation curves were fully reported. The experimental programme was followed by a numerical modelling programme, where finite element models were firstly developed to repeat the experimental results and then used to carry out parametric studies to generate a numerical data pool. Based on the obtained numerical data, the influences of end distance, edge distance, longitudinal spacing, transverse spacing and sheet thickness on failure loads of austenitic stainless steel thin sheet bolted connections were discussed. The test and numerical data were used to assess the existing design provisions, as given in the European code and American specification. The assessment results revealed that the European code led to overall accurate but scattered failure load predictions, while the American specification was shown to result in overly unsafe and scattered failure load predictions.

Study on the Parallel Competition Governance Model of Multiple Subjects in the "Unveiling of the List of Commanders"

Study on the Parallel Competition Governance Model of Multiple Subjects in the "Unveiling of the List of Commanders"

Investigation on the interaction mechanism during co-combustion of sewage sludge and coal slime: The effect of coal slime type and pretreatment method

Co-combustion of sewage sludge (SS) and coal slime (CS) is the preferred method for mitigating their environmental impact and increasing their added value. However, the interaction mechanism between SS and CS during the co-combustion process has not yet developed a unified understanding. This work aims to obtain the effect of CS types on SS-CS co-combustion and reveal the interaction mechanism between SS and CS based on the influence of pretreatment methods on the interaction. The results showed that during co-combustion, SS reduced the ignition and burnout temperatures, and CS with high fixed carbon content (e.g., XCS) improved the comprehensive combustion characteristics. Principal component analysis showed that the effect of CS on co-combustion was more significant. The interaction between SS and CS mainly occurred within 100–700 °C, in which inhibition and synergism coexisted. The large differences in the interactions before and after de-volatilization and pickling treatments revealed that the volatiles and ash in SS were the main interaction factors. The analysis of the interaction mechanisms showed that the free radicals and heat released from the SS volatiles combustion accelerated the weight loss of CS, but the formation of tars from its incomplete combustion may inhibit the decomposition of CS. The interaction in the fixed carbon combustion stage was mainly caused by SS ash, which can catalyze the combustion of CS fixed carbon, but for the high ash CS (e.g., QCS), the combustion of fixed carbon was hindered by the addition of SS ash higher than 10 %. The final manifestation (synergy or inhibition) of SS and CS interactions was the result of the competitive balance of the above interactive behaviors. This work provides a more comprehensive understanding of the interaction between SS and CS during co-combustion.

Identification and support of autistic individuals within the UK Criminal Justice System: a practical approach based upon professional consensus with input from lived experience

BackgroundAutism spectrum disorder (hereafter referred to as autism) is characterised by difficulties with (i) social communication, social interaction, and (ii) restricted and repetitive interests and behaviours. Estimates of autism prevalence within the criminal justice system (CJS) vary considerably, but there is evidence to suggest that the condition can be missed or misidentified within this population. Autism has implications for an individual’s journey through the CJS, from police questioning and engagement in court proceedings through to risk assessment, formulation, therapeutic approaches, engagement with support services, and long-term social and legal outcomes.MethodsThis consensus based on professional opinion with input from lived experience aims to provide general principles for consideration by United Kingdom (UK) CJS personnel when working with autistic individuals, focusing on autistic offenders and those suspected of offences. Principles may be transferable to countries beyond the UK. Multidisciplinary professionals and two service users were approached for their input to address the effective identification and support strategies for autistic individuals within the CJS.ResultsThe authors provide a consensus statement including recommendations on the general principles of effective identification, and support strategies for autistic individuals across different levels of the CJS.ConclusionGreater attention needs to be given to this population as they navigate the CJS.

Optimizing SLM process parameters using FE analysis for distortion mitigation

The investigation aimed to determine the optimal value of process parameters to minimize distortion while reducing the overall printing time. To achieve this, different combinations of process parameters are selected, and 25 sets of FE experiments are prepared using an orthogonal matrix. The coupled thermomechanical analysis with the element birth technique is used to mimic the behavior of Selective Laser Melting (SLM). Initially, a mesh convergence study is performed to reduce computation time with the least sacrifice in results. To minimize the temperature gradient, simulations are performed at different levels of bed temperature ranging from 303 K to 843 K. The minimum distortion was observed for a higher bed temperature of 843 K, as at this temperature, the gradient in temperature is minimum, resulting in the least development of residual stresses. The interactive behavior between laser power and scanning speed is studied, revealing an approximately linear trend with respect to distortion while keeping all other parameters constant. Additionally, it was observed that laser power and layer thickness also exhibited a similar linear trend with respect to distortion. To identify the optimal process parameter value within the design space, the Multi-Island Genetic Algorithms (MIGA) technique is employed, leading to a remarkable minimum distortion of 0.45 mm for a specific set of input process parameters.

Master–Slave Game Optimal Scheduling for Multi-Agent Integrated Energy System Based on Uncertainty and Demand Response

With the transformation of the energy market from the traditional vertical integrated structure to the interactive competitive structure, the traditional centralized optimization method makes it difficult to reveal the interactive behavior of multi-agent integrated energy systems (MAIES). In this paper, a master–slave game optimal scheduling strategy of MAIES is proposed based on the integrated demand response. Firstly, a master–slave game framework of MAIES is established with an energy management agent as leader, an energy operation agent, an energy storage agent, and a user aggregation agent as followers. Secondly, in view of the wind and solar uncertainty, the Monte Carlo method is used to generate random scenarios, and the k-means clustering method and pre-generation elimination technology are used for scenario reduction. Then, according to different flexible characteristics of loads, a multi-load and multi-type integrated demand response model including electric, thermal, and cold energy is built to fully utilize the regulation role of flexible resources. On this basis, the transaction decision-making models of each agent are constructed, and the existence and uniqueness of the Stackelberg equilibrium solution are proved. Finally, the case simulations demonstrate the effectiveness of the proposed optimal scheduling strategy of MAIES. Compared to the scenario without considering the wind and solar uncertainty and the integrated demand response, the rate of renewable energy curtailment was reduced by 6.03% and the carbon emissions of the system were reduced by 1335.22 kg in the scenario considering the proposed method in this paper.

Exploring learner-related variables in child collaborative writing: interaction mindset, willingness to communicate and proficiency

Abstract Collaborative writing (CW) tasks have been shown to generate interactional moves conducive to L2 learning. However, recent studies have demonstrated that learner-related variables, including interaction mindset (IM), willingness to communicate (WTC), and proficiency may explain the extent to which L2 learners notice errors or interact in these tasks. This study explores the impact of these individual differences on the interactional behaviours of child EFL learners, a population where this topic has been barely investigated. Fifty-seven children (ages 11–12) took part in the study and completed a CW task. Their proficiency was measured through a standardized test, and IM and WTC were measured from a trait-like and situation-specific perspective using a questionnaire and focal interviews. The dependent variable, L1/L2 oral task-based production, was quantified in words and turns. The multiple regression analyses failed to show any significant contribution of IM and WTC to learners’ L1/L2 use, while proficiency significantly impacted their L1 use: more proficiency led to less L1 use. Participants’ responses from the post-task interview highlighted the situational nature of IM and WTC. These findings shed light on the effects of child individual variables on CW tasks and suggest that future studies can test whether amount of learner talk in L1/L2 as mediated by proficiency determines ultimate learning.

Association of Daily Activities With Maternal-Child Bonding, Parenting Self-Efficacy, Social Support, and Parenting Behaviors Among Survivors Living in an Intimate Partner Violence Shelter: A Daily Diary Study.

Following a traumatic event such as intimate partner violence (IPV), survivors often experience stress related to the violence. These high levels of stress related to IPV can be associated with the daily activities of survivors and their relationships with their children, such as maternal-child bonding. The purpose of the current study is to explore the relationship between daily activities, daily stress levels, parenting self-efficacy and behaviors, and maternal-child bonding among survivors living in an IPV shelter using an ecological momentary assessment (EMA) methodology. Twenty-five mothers living in an IPV shelter in two states in the Southern United States completed a baseline survey and completed electronic daily diaries for 14 days. Higher daily stress was associated with the number of times the mothers met with the case manager. Higher daily stress was also related to lower parenting self-efficacy. The number of case management appointments and legal appointments were positively correlated with a higher bonding score. More social support was associated with more positive parenting. IPV and post-traumatic stress disorder symptoms were not significantly associated with maternal-child bonding, parenting behaviors, or parenting self-efficacy. Findings suggest that screening for maternal support may be particularly important for positive bonding and positive parenting. Findings also lend preliminary insight into practical places where service providers could act to protect the bonding process or mitigate risks to impede it. Future research should include objective data about the mother's emotions and her interactive behavior with her child. There is also a need to consider how federal programs fund and incentivize service providers to focus on mother-child dyads and how they can tailor services that promote bonding.

Impaired recognition of interactive intentions in adults with autism spectrum disorder not attributable to differences in visual attention or coordination via eye contact and joint attention

Altered nonverbal communication patterns especially with regard to gaze interactions are commonly reported for persons with autism spectrum disorder (ASD). In this study we investigate and differentiate for the first time the interplay of attention allocation, the establishment of shared focus (eye contact and joint attention) and the recognition of intentions in gaze interactions in adults with ASD compared to control persons. Participants interacted via gaze with a virtual character (VC), who they believed was controlled by another person. Participants were instructed to ascertain whether their partner was trying to interact with them. In fact, the VC was fully algorithm-controlled and showed either interactive or non-interactive gaze behavior. Participants with ASD were specifically impaired in ascertaining whether their partner was trying to interact with them or not as compared to participants without ASD whereas neither the allocation of attention nor the ability to establish a shared focus were affected. Thus, perception and production of gaze cues seem preserved while the evaluation of gaze cues appeared to be impaired. An additional exploratory analysis suggests that especially the interpretation of contingencies between the interactants’ actions are altered in ASD and should be investigated more closely.

Parental reflective functioning in mothers and fathers of preschoolers: Associations with adult attachment and parenting behavior.

Parental reflective functioning (PRF) is considered a key parental competence. Since most research on PRF has focused on infancy or the first years of life, there is a gap in our understanding of PRF among parents of older children. Therefore, we investigated PRF in mothers and fathers with preschool-aged children, examining associations between PRF, parent's romantic attachment, and observed parenting behavior. The sample comprised 50 mothers, 40 fathers, and their 5-year-old children. PRF was assessed using the parental reflective functioning questionnaire (PRFQ), parental romantic attachment was assessed using the experiences in close relationships scale-revised (ECR-R), and parenting behavior was assessed during a parent-child free-play interaction with the coding interactive behavior (CIB) coding system. Results showed that mothers scored higher on the interest and curiosity scale than fathers, indicating that mothers show a more active interest and curiosity in their child's mental states. Further, higher levels of attachment anxiety in fathers were associated with higher levels of pre-mentalizing modes. In mothers, higher levels of attachment avoidance were associated with lower levels of interest and curiosity. Finally, and unexpectedly, higher levels of interest and curiosity in mothers were associated with less sensitivity during free play. In summary, the study found meaningful associations between mothers' and fathers' romantic attachment and their PRF indicating a spill-over of their attachment strategies into their relationship with their child. Further, the study results suggest that very high levels of interest and curiosity in mothers reflect hypermentalizing.