Mental Models Research Articles

Unlocking team performance: How shared mental models drive proactive problem-solving

Do shared mental models support proactive problem-solving? Research on shared cognition suggests that shared mental models aid team performance by improving coordination between team members’ actions. However, these models can also lead to groupthink, potentially diminishing team members’ proactive problem-solving behaviors. Based on social identity theory, this study examines how shared mental models influence proactive problem-solving at the individual and team levels. We propose that shared mental models about work tasks and team dynamics are crucial for promoting proactive problem-solving behaviors and coordinating team efforts. To test our theory, we conducted multilevel path analyses with survey data from 266 individuals across 48 teams in 13 Italian manufacturing companies. Our results indicate that the degree to which individuals align their task- and team-related mental models impacts both their tendency to proactively solve problems and their ability to coordinate team problem-solving. We also find that the adoption of proactive problem-solving behaviors and team effort coordination are linked to enhanced team performance.

Systematic review and meta-analysis of the visual mismatch negativity in schizophrenia.

Mismatch negativity (MMN) is an event-related potential component automatically elicited by events that violate predictions based on prior events. To elicit this component, researchers use stimulus repetition to induce predictions, and the MMN is obtained by subtracting the brain response to rare or unpredicted stimuli from that of frequent stimuli. Under the Predictive Processing framework, one increasingly popular interpretation of the mismatch response postulates that MMN represents a prediction error. In this context, the reduced MMN amplitude to auditory stimuli has been considered a potential biomarker of Schizophrenia, representing a reduced prediction error and the inability to update the mental model of the world based on the sensory signals. It is unclear, however, whether this amplitude reduction is specific for auditory events or if the visual MMN reveals a similar pattern in schizophrenia spectrum disorder. This review and meta-analysis aimed to summarise the available literature on the vMMN in schizophrenia. A systematic literature search resulted in 10 eligible studies that resulted in a combined effect size of g = -.63, CI [-.86, -.41], reflecting lower vMMN amplitudes in patients. These results are in line with the findings in the auditory domain. This component offers certain advantages, such as less susceptibility to overlap with components generated by attentional demands. Future studies should use vMMN to explore abnormalities in the Predictive Processing framework in different stages and groups of the SSD and increase the knowledge in the search for biomarkers in schizophrenia.

Effectiveness of a model-based inquiry instructional sequence in overcoming students’ teaching-learning difficulties on plant nutrition

ABSTRACT This work conveys the results of an iterative investigation conducted within the Design-Based Research framework. The primary objective was to develop and assess a Teaching-Learning Sequence (TLS) aimed at enhancing secondary students’ mental models about the traditionally challenging topic of plant nutrition. The design of this innovative TLS was guided by previous research and it was grounded in the Model-Based Inquiry approach as it allows to integrate scientific practices and models. To gauge the success of the TLS and contribute to the literature on the effective instruction of plant nutrition this study followed a pre–post quasi-experimental design. Thus, a preliminary (TLS1; N = 95) and a refined version (TLS2; N = 110) of the TLS were implemented and compared against a group studying through direct instruction (Control; N = 109). The analysis of the pre–post questionnaires yielded three main outcomes: (1) The results revealed that students undergoing the specifically designed TLSs attained mental models resembling the target curriculum model thereby proving their effectiveness over the control intervention. (2) The study identified salient TLS design elements (e.g. hands-on modelling, tracing matter and energy, etc.) that enriched students’ learning outcomes on the topic. (3) Finally, the findings unveiled inherent benefits of the Model-Based Inquiry approach.

An Examination of Mental Stress in College Students: Utilizing Intelligent Perception Data and the Mental Stress Scale

In order to solve the problems of traditional mental stress detection in college students that are time-consuming, random, and subjective, this paper proposes an intelligent perception-driven mental stress assessment method for college students. First, we analyze the factors in SRQ and SCL-90, which can be measured by intelligent sensing methods, including sleep, exercise, social interaction, and environment, and then perform feature extraction. Secondly, we use machine learning methods to build a mental stress assessment model. The Shapley additive explanations (SHAP) model is used to explain the training results. Experimental results show that the model proposed in this article can effectively assess the mental stress state of college students. This means that the collection of intelligent perception data based on the mental stress scale can effectively evaluate the mental stress state of college students and provide a new research idea for further developing a non-intrusive and real-time mental stress assessment for college students.

Mental Preparedness of Athletes During the COVID-19 Pandemic: A Case Study on the Training of Thai National Team for the 19th Asian Games

This research aimed to study and establish the mental preparedness model of Thai athletes during the COVID-19 pandemic in preparation for the 19th Asian Games. This study employed a mixed methods approach, involving 409 participants (217 males and 192 females) selected through a lottery system, ensuring equitable representation across the 19 types of sports. Additionally, six participants were included for qualitative data gathering. The research designed a comprehensive questionnaire to collect data, which included the Sports Stress Management Skills in Thai Questionnaire, Questionnaire on Mental Readiness for Competition, 'Motivation to Participate in Sports Activities in Thai' Questionnaire, Self-Confidence Questionnaire, Mental Toughness Questionnaire in Thai, and the Mindfulness in Sports Questionnaire in Thai Version. Data was collected using a traditional questionnaire and an online questionnaire accessed via QR codes. Structural Equation Modeling was employed for data analysis. Qualitative data were gathered through interviews. The study's results revealed the development of a mental preparation model for Thai national team athletes during the COVID-19 outbreak. This model emphasizes the significance of mindfulness as a crucial factor directly influencing psychological readiness. Furthermore, mindfulness exerts an indirect influence through four intermediary variables: motivation, stress management skills, confidence, and mental toughness. Significantly, qualitative data highlighted adaptive mental resilience and mindfulness as key factors in fostering mental readiness among athletes, especially during challenging periods like the COVID-19 outbreak. These factors encompass effective stress management, balanced motivation, self-confidence, professional guidance, adaptive mindset, support systems, and long-term planning. This model integrates various elements of mental preparation, with mindfulness positioned as the central pillar.

The interaction between brain-based learning strategies and patterns of infographics and its influence on the development of information concepts among Saudi undergraduate cybersecurity students

The study reported in this paper investigates the impact of the interaction between brain-based learning strategies (spaced repetition and distributed practice - mental models) and patterns of infographics (static/animated) in e-learning environments and its impact on the development of informational concepts among cybersecurity students. The quantitative data were collected by means of Information Concept Test to determine the levels of information concepts according to the Frayer model (1969). The research sample consists of 80 male and female undergraduate students in Qassim University, who were classified into four quasi-experimental groups according to their preferred patterns in the infographic. Quantitative analysis of findings from this study shows an effect for the interaction between the variables of brain-based learning strategies (spaced repetition and distributed practice - mental models) and patterns of infographics (static/animated) in e-learning environments in the test scores of information concepts in the post-administration, where the significance level (.011) is less than the significance level (0.05). Findings also revealed that the repetition of information at increasing intervals of time using the infographics is effective to learning concepts in an organized manner and to improving short memory. Furthermore, the mental model’s strategy also helped to retain information. The study recommends encouraging the use of brain-based learning strategies and patterns of infographics (static/animated) in e-learning environments to explore the relationships between different scientific concepts, to expand students’ knowledge, and to discover inter-relationships between different subject elements. The study provides a platform for further research to employ different brain-based learning strategies within e-learning environments to acquire higher-order thinking skills and improve students’ memory and mental capacity with the use of modern technological techniques that achieve learning quality.

Access to early diagnosis for attention-deficit/hyperactivity disorder among children and adolescents in Mexico City at specialized mental health services

BackgroundIn Mexico, this pioneering research was undertaken to assess the accessibility of timely diagnosis of Dyads [Children and adolescents with Attention Deficit Hyperactivity Disorder (ADHD) and their primary caregivers] at specialized mental health services. The study was conducted in two phases. The first phase involved designing an “Access Pathway” aimed to identify barriers and facilitators for ADHD diagnosis; several barriers, with only the teacher being identified as a facilitator. In the second phase, the study aimed to determine the time taken for dyads, to obtain a timely diagnosis at each stage of the Access Pathway. As well as identify any disparities based on gender and socioeconomic factors that might affect the age at which children can access a timely diagnosis.MethodIn a retrospective cohort study, 177 dyads participated. To collect data, the Acceda Survey was used, based on the robust Conceptual Model Levesque, 2013. The survey consisted of 48 questions that were both dichotomous and polytomous allowing the creation of an Access Pathway that included five stages: the age of perception, the age of search, the age of first contact with a mental health professional, the age of arrival at the host hospital, and the age of diagnosis. The data was meticulously analyzed using a comprehensive descriptive approach and a nonparametric multivariate approach by sex, followed by post-hoc Mann-Whitney’s U tests. Demographic factors were evaluated using univariable and multivariable Cox regression analyses.Results71% of dyads experienced a late, significantly late, or highly late diagnosis of ADHD. Girls were detected one year later than boys. Both boys and girls took a year to seek specialized mental health care and an additional year to receive a formal specialized diagnosis. Children with more siblings had longer delays in diagnosis, while caregivers with formal employment were found to help obtain timely diagnoses.ConclusionsOur findings suggest starting the Access Pathway where signs and symptoms of ADHD are detected, particularly at school, to prevent children from suffering consequences. Mental health school-based service models have been successfully tested in other latitudes, making them a viable option to shorten the time to obtain a timely diagnosis.

The transformative potential of AI-enabled personalization across cultures

The transformative potential of AI-enabled personalization across cultures

Delivering clinical tutorials to medical students using the Microsoft HoloLens 2: A mixed-methods evaluation

BackgroundMixed reality offers potential educational advantages in the delivery of clinical teaching. Holographic artefacts can be rendered within a shared learning environment using devices such as the Microsoft HoloLens 2. In addition to facilitating remote access to clinical events, mixed reality may provide a means of sharing mental models, including the vertical and horizontal integration of curricular elements at the bedside. This study aimed to evaluate the feasibility of delivering clinical tutorials using the Microsoft HoloLens 2 and the learning efficacy achieved.MethodsFollowing receipt of institutional ethical approval, tutorials on preoperative anaesthetic history taking and upper airway examination were facilitated by a tutor who wore the HoloLens device. The tutor interacted face to face with a patient and two-way audio-visual interaction was facilitated using the HoloLens 2 and Microsoft Teams with groups of students who were located in a separate tutorial room. Holographic functions were employed by the tutor. The tutor completed the System Usability Scale, the tutor, technical facilitator, patients, and students provided quantitative and qualitative feedback, and three students participated in semi-structured feedback interviews. Students completed pre- and post-tutorial, and end-of-year examinations on the tutorial topics.ResultsTwelve patients and 78 students participated across 12 separate tutorials. Five students did not complete the examinations and were excluded from efficacy calculations. Student feedback contained 90 positive comments, including the technology’s ability to broadcast the tutor’s point-of-vision, and 62 negative comments, where students noted issues with the audio-visual quality, and concerns that the tutorial was not as beneficial as traditional in-person clinical tutorials. The technology and tutorial structure were viewed favourably by the tutor, facilitator and patients. Significant improvement was observed between students’ pre- and post-tutorial MCQ scores (mean 59.2% Vs 84.7%, p < 0.001).ConclusionsThis study demonstrates the feasibility of using the HoloLens 2 to facilitate remote bedside tutorials which incorporate holographic learning artefacts. Students’ examination performance supports substantial learning of the tutorial topics. The tutorial structure was agreeable to students, patients and tutor. Our results support the feasibility of offering effective clinical teaching and learning opportunities using the HoloLens 2. However, the technical limitations and costs of the device are significant, and further research is required to assess the effectiveness of this tutorial format against in-person tutorials before wider roll out of this technology can be recommended as a result of this study

Priming users with babies’ gestures: investigating the influences of priming with different development origin of image schemas in gesture elicitation study

Gesture elicitation study is an effective method to design gestures for various contexts. Through involving end-users, GES results in intuitive gestures because they directly reflect end-users’ mental models and preferences. However, limited by personal experience, end-users are not capable of taking full advantages of technology while proposing gestures, which is referred as legacy bias. To overcome this, previous studies demonstrate that users’ performance can be improved by priming, such as viewing gestures, watching fictional movies, and experiencing framed scenarios. This research extends this line of studies by considering the developmental origin of image schemas in priming. More specifically, we compared the influences of no-priming, priming with early image schemas (EIS), and priming with late image schemas (LIS) on GES. Controlled experiments were conducted (N=120) along the three stages of GES: users’ generation of gestures (Experiment 1), final gesture sets (Experiment 2), and end-users’ learnability of gestures (Experiment 3). Results show that users are largely influenced by developmental origin of image schemas in priming. LIS-priming improve gesture proposal production in comparison to no-priming condition. As for end-users’ evaluation, EIS-priming gestures exhibit higher initial and overall learnability.

An integrated mental health video consultations model for patients with somatic symptom disorder in primary care: The randomized VISION pilot trial

ObjectiveSymptoms of somatic symptom disorder (SSD) are one of the most common reasons for consultations in primary care. However, specialized psychological services are mostly unavailable. This pilot trial aimed to determine the feasibility, acceptability, and safety of the integrated mental health video consultations VISION model for patients with SSD in primary care. MethodsWe conducted a parallel group, randomized controlled pilot trial involving fifty-one patients with SSD from ten primary care practices in Germany, who we randomized to the VISION model or enhanced treatment-as-usual (eTAU). The VISION model comprised five video consultations which featured diagnostic clarification, psychoeducation (acknowledging and legitimizing of symptoms), and brief psychological therapy. eTAU included training primary care practice teams on the DSM-5 concept of SSD guideline recommendations for its treatment in primary care. We assessed feasibility as the primary outcome at 6-months, measuring efficiency of recruitment, intervention acceptability, safety. ResultsRecruitment was efficient reflected in an overall recruitment yield (number randomized per number screened) of 55% (51/92) and a consent rate (number randomized per number eligible) of 94% (51/54). Acceptability of the intervention was high with 98% (123/125) of the video consultations conducted as planned. No serious adverse events were reported in either group. ConclusionAn integrated mental health video consultations VISION model for patients with SSD presenting to primary care is feasible, acceptable, and safe. Potential clinical effectiveness of the model should be evaluated in confirmatory trial putting the multifaceted approach tailored to the individual patient with SSD directly into primary care practice. Trial registrationThe trial protocol was registered at German Clinical Trials Register (number: DRKS00026075, https://www.drks.de).

6275436 Decision making and mode of anaesthesia for category one caesarean sections: do anaesthetists and obstetricians share the same mental model?

6275436 Decision making and mode of anaesthesia for category one caesarean sections: do anaesthetists and obstetricians share the same mental model?

Results and methodology for classifying high risk pilots using CANFLY: A cognitive health screening tool for aviators

Cognitive health screening for aviators would assist in managing a shortage of experienced pilots. Extending pilot careers by optimizing their cognitive health would address both the number and quality of pilots available for airline and general aviation operations. The present work tested the validity of an online screening tool for pilots that measures aviation domain-relevant cognition. Sixty-five licensed pilots (18–80 years, M = 48.8, SD = 16.3) with varying levels of experience completed a 30-min online cognitive health screening tool for pilots. Risk status was determined via a novel metric using self-reported incidents. Machine learning algorithms identified the cognitive factors most useful in identifying pilots with increased risk for accidents and serious incidents. Support vector machines and boosted decision tree algorithms provided the most reliable and strongest classifications models of pilot risk. Findings support the use of this short online screening tool for highlighting performance issues with domain-relevant cognitive abilities based on the Dynamic Mental Model for pilots, such as situation awareness and prospective memory. Understanding personal cognitive challenges is the basis for customized skill maintenance designed to augment cognition for those interested in safely extending their piloting careers.

Investigating Middle School Students’ Conceptions of Technology: The Effects of Gender and Grade Level

This study aims to investigate middle school students' conceptions of technology through mental models. Furthermore, it also seeks to determine whether middle school students' conceptions of technology differ according to gender and grade level. The study sample included 1038 middle school students. The research employed a writing-drawing activity and the What is Technology? scale to gather data. When the results were examined, it was determined that only 15.90% of middle school students had good mental models regarding the concept of technology, while 42.48% had medium and 41.62% had poor mental models. Generally, students view technology as a tool that makes people's lives easier and associate technology mostly with electrical and electronic devices such as computers, digital tablets, mobile phones, and televisions. The research revealed that while middle school students exhibited an average grasp of mechanical technologies, they struggled to conceptualize basic technologies. We found that middle school students' understanding of technology did not vary by gender, but did differ statistically significantly by grade level. The findings also showed that higher grade levels were associated with a more sophisticated understanding of technology among middle school students. In conclusion, we observed that the mental models clearly express the dimensions of technology as an artifact, a human practice, and its current role in society. It seems that middle school students' conceptions of technology are limited to these three dimensions, and students have difficulty grasping the nature of technology in all its dimensions.

Spiritual and Community-Based Mental Health Services  for Children with Special Needs in Islamic Boarding School

This study focuses on enhancing the care and educational support for children with special needs, particularly in rural areas where their families often lack adequate support. Recognizing the vital roles of communities and governments, the research seeks to create an inclusive education and mental health service model that incorporates spirituality and community engagement. A qualitative research method was used to achieve this, involving 19 managers and caregivers of children with special needs. Through interviews, participant observations, and three focus group discussions, data were collected using the free association technique and analyzed via thematic analysis. This analysis highlighted four key themes: the development of spiritual and community-based mental health services, the application of these approaches in service delivery, the care strategies for children with special needs, and the evaluation methods and psychological interventions rooted in indigenous psychology. The goal is to establish a mental health service model for rural settings that can be adapted for broader application in other regions.

Measuring the Density Matrix of Quantum-Modeled Cognitive States

Inspired by the principles of quantum mechanics, we constructed a model of students’ misconceptions about heat and temperature, conceptualized as a quantum system represented by a density matrix. Within this framework, the presence or absence of misconceptions is delineated as pure states, while the probability of mixed states is also considered, providing valuable insights into students’ cognition based on the mental models they employ when holding misconceptions. Using the analysis model previously employed by Lei Bao and Edward Redish, we represented these results in a density matrix. In our research, we utilized the Zeo and Zadnik Thermal Concept Evaluation among 282 students from a private university in Northeast Mexico. Our objective was to extract information from the analysis of multiple-choice questions designed to explore preconceptions, offering valuable educational insights beyond the typical Correct–Incorrect binary analysis of classical systems. Our findings reveal a probability of 0.72 for the appearance of misconceptions, 0.28 for their absence, and 0.43 for mixed states, while no significant disparities were observed based on gender or scholarship status, a notable difference was observed among programs (p &lt; 0.05). These results are consistent with the previous literature, confirming a prevalence of misconceptions within the student population.

‘We’re not that Gullible!’ Revealing Dark Pattern Mental Models of 11-12 Year-Old Scottish Children

Deceptive techniques known as dark patterns specifically target online users. Children are particularly vulnerable as they might lack the skills to recognise and resist these deceptive attempts. To be effective, interventions to forewarn and forearm should build on a comprehensive understanding of children’s existing mental models. To this end, we carried out a study with 11-12 year old Scottish children to reveal their mental models of dark patterns. They were acutely aware of online deception, referring to deployers as being ‘up to no good’. Yet, they were overly vigilant and construed worst-case outcomes, with even a benign warning triggering suspicion. We recommend that rather than focusing on specific instances of dark patterns in awareness raising, interventions should prioritise improving children’s understanding of the characteristics of, and the motivations behind, deceptive online techniques. By so doing, we can help them to develop a more robust defence against these deceptive practices.

Evaluation of mental load using EEG and eye movement characteristics

Mental load is a major cause of human-induced accidents. In this study, an explosive impact sensitivity experiment was used to induce mental load. A combination of subjective questionnaires and objective prospective time-distance tests were used to judge whether subjects experienced mental load. Four indicators, namely, β, γ, mean pupil diameter, and fixation time were selected by statistical analysis and PCA for the construction of a mental load assessment model. The study found that the occipital lobe was the most sensitive to mental load, especially β and γ bands. Lastly, it was found that subjects showed different degrees of mental load for the same mental load induction task. The results of the study are applicable to the evaluation and monitoring of the mental characteristics of workers and provide a scientific basis for adjusting the mental load of workers over time to reduce the rate of accidents and enhance production efficiency.

Assessing unsafe behaviors and their relationship with work-related factors among EMS staff in Iran: a cross-sectional study

BackgroundEmergency Medical Services (EMS) staff often encounter various safety incidents. Work-related factors can lead to unsafe behaviors and safety incidents. This study assessed unsafe behaviors and their relationship with work-related factors among EMS staff.MethodsThis descriptive-correlational study used census sampling method to select 284 EMS staff in Ardabil Province, northwest of Iran, from April to June 2023. The data collection tools were demographic and occupational information form, Mearns Unsafe Behavior Scale, Cohen Perceived Stress Scale, Michielsen Fatigue Scale, and Patterson Teamwork Scale. The data were analyzed using the SPSSv-16, descriptive statistics, Pearson correlation, and multiple linear regression.ResultsThe mean of unsafe behavior, fatigue, perceived stress, non-conflict of teamwork, and conflict of teamwork were 15.80 (± 4.77), 20.57 (± 6.20), 16.10 (± 6.13), 117.89 (± 17.24), and 40.60 (± 9.59), respectively. Multiple linear regression analysis showed that “partner trust and shared mental models (PTSMM),” “physical fatigue,” “age,” “type of shift,” “employment status,” and “overtime hours per month” were predictors of general unsafe behavior (P < 0.001) and “mild task conflict (MTC),” “employment status,” “partner trust and shared mental models (PTSMM)” were predictors of unsafe behavior under incentives EMS staff (P < 0.001).ConclusionThe present study showed that some work-related factors were predictors of unsafe behaviors. The negative consequences of unsafe behaviors should be considered, and long-term planning should be done to reduce them. Developing specific guidelines for addressing unsafe behaviors, implementing measures to reduce fatigue, managing overtime hours in the workplace, and Establishing a system where novice staff work with experienced staff during their first year can be beneficial in reducing these behaviors among EMS staff.

Procedure excellence: Changing paradigms to enable human reliability

AbstractA multi‐year review of process safety event learning data revealed that procedure usability and human factors were leading the trends of performance deviations by front‐line personnel. These insights prompted an enterprise‐wide Agile project to build capability focused on effective written guidance using science‐based tools and advanced error reduction techniques. Application of the Agile methodology was critical to gaining stakeholder commitment and establishing a comprehensive procedure integrity lifecycle to drive continuous improvement. Chemours partnered with an external consultant to create a holistic framework applicable to vital process safety roles with an orientation toward operational excellence. We share preliminary learnings and best practices leveraged from the nuclear industry, including systemic drivers to procedural deviations, the “top five error drivers” in written guidance, human performance modes (mental models), and key principles to enable human reliability.