Mental Models Research Articles

A qualitative study exploring mental health professionals' perspectives, opinions, and attitudes on the state of service users' rights.

The rights of mental health service users are a subject of profound debate. In this article, we aim to examine mental health professionals' perspectives, opinions, and attitudes on the state of service users' rights. We conducted a thematic analysis of eleven focus groups involving mental health professionals. Through this process, we identified two main meta-themes that shed light on the challenges faced by mental health service users: 'Transforming the therapeutic relationship' and 'Societal determinants of service users' rights'. Within the former meta-theme, we identified the following themes: 'Diversifying mental health knowledge', 'Risk-protection tensions', and 'Being (ir)responsible'. Within the latter meta-theme we identified 'Determinants inside the clinics' and 'Determinants outside the clinics.' Reflecting on these themes could potentially encourage new strategies to support professionals in overcoming the subjective barriers that prevent their adherence to rights-based mental health care models.

How to grow a mental model

How to grow a mental model

Evaluation of Drivers’ Mental Model, Trust, and Reliance Toward Level 2 Automated Vehicles

Level 2 automated vehicles (AVs) have been commercially available for years, yet the extent to which drivers are cognizant of their capabilities and limitations remains largely unknown. This study aimed to assess the public’s mental model of Level 2 AVs and investigate the relationships between mental model, trust, and reliance. Moreover, it sought to explore driver heterogeneity through cluster analysis to identify typical driver classes. Employing Tesla Autopilot as a representative Level 2 automation system, we designed a questionnaire measuring mental model from three dimensions: functional condition, sensorimotor preparation, and automation monitoring. This questionnaire was administered to both Tesla Autopilot owners (N = 357) and non-owners (N = 357). The results showed that, on average, drivers possessed an inadequate mental model regarding Level 2 AVs, and those with a relatively better mental model exhibited lower levels of trust and reliance. Owning a Level 2 AV did not result in a better understanding of the system, but it led to a higher trust level. Moreover, the results suggested that drivers’ trust and reliance in AVs tended to increase within the initial 6 months of usage and then kept stabilized after that. Through cluster analysis, we identified three distinct driver classes that exhibited significant differences in their mental model levels and attitudes towards AVs: Class 1 (blurred positive), Class 2 (sober neutral), and Class 3 (cautiously positive). This further validates the presence of heterogeneity among drivers. The insights gained from this study can serve as a valuable resource for supporting and guiding the development and implementation of training programs aimed at enhancing drivers’ comprehension of Level 2 AVs.

Changing Climate Change Mental Models Through Game-Based Learning: A Controlled Experiment Involving Cognitive Mapping

Climate change is one of humankind's grand challenges, and how we think about it influences how we perceive its risks and act. Understanding people's mental models of climate change (that is, how they internally represent it) and potentially challenging and changing them can be a fruitful avenue towards engagement. However, our understanding of how games can affect climate change mental models is limited, especially in the lack of control conditions with comparable content. In this experiment, participants created cognitive maps of climate change before and after experiencing an immersive VR game, a desktop PC game, or a text with graphs. We show that all conditions improved the quality, focus, and systems orientation of cognitive maps, but no significant differences were found between groups. The intervention effectively increased the salience of issues such as health and biodiversity impacts, even though changes were limited in scope. The game was on average more enjoyable than the text, with the VR version significantly more so than the other two conditions. The findings suggest that games can be a viable and attractive communication and learning method where engagement is a struggle. We provide avenues for future research and, especially, game design in this area.

Human-AI Collaboration in Cooperative Games: A Study of Playing Codenames with an LLM Assistant

Playing partial information, restricted communication, cooperative (PIRCC) games with humans have proven challenging for AI, due to our reliance on social dynamics and sophisticated cognitive techniques. Yet, recent advances in generative AI may change this situation through new forms of human-AI collaboration. This paper investigates how teams of players interact with an AI assistant in the PIRCC game Codenames and the impact this has on cognition, social dynamics, and player experience. We observed gameplay and conducted post-game focus groups with 54 participants across ten groups. Each group played three rounds of Codenames, with an AI assistant supporting Cluegivers. We found the AI assistant enhanced players' convergent and divergent thinking, but interfered with formation of team mental models, highlighting a tension in the use of AI in creative team scenarios. The presence of the AI challenged many players' understanding of the 'spirit of the game'. Furthermore, the presence of the AI assistants weakened social connections between human teammates, but strengthened connections across teams. This paper provides an empirical account of an AI assistant's effect on cognition, social dynamics, and player experience in Codenames. We highlight the opportunities and challenges that arise when designing hybrid digital boardgames that include AI assistants.

You Are Tilted!: Leveraging Tabletop Gaming to Manage Tilt and Strengthen Team Dynamics in Esports

Tilt, characterized by heightened frustration, is a prevalent issue in esports, significantly impacting team dynamics and player well-being. Traditional Human-Computer Interaction (HCI) solutions often focus on individual strategies, overlooking the team-based nature of esports. This study introduces 'TILTED', a tabletop game co-designed with youth esports players, aimed at fostering open communication and empathy to collectively manage tilt. Findings from four user testing sessions with collegiate esports teams reveal that team-based interventions like 'TILTED' can enhance team cohesion and provide effective strategies for emotional regulation. The game facilitates understanding and empathy among teammates for managing emotions and maintaining a positive team atmosphere. Our research underscores the importance of resetting strategies and shared mental models in helping to mitigate tilt and offers design implications for future team-based interventions to enhance team dynamics and tilt management strategies as a team.

Folk Models of Loot Boxes in Video Games

Regulations require video games to provide transparency regarding loot box odds to keep players informed, leading many games to disclose probabilities in various ways; yet, the extent of players' comprehension of loot box mechanics remains unclear. We performed a content analysis on 80 online posts to understand players' perceptions of loot box odds in two popular video games (Genshin Impact and Honkai: Star Rail). We then conducted semi-structured interviews with 24 players to explore the causes of these folk models across more games. Utilizing a bottom-up open coding approach, we created a taxonomy of folk models players have about loot boxes. We found that participants generally possessed inaccurate mental models of how loot boxes work, and they wanted game companies to enhance loot box transparency in three areas of probability disclosures: granularity, longitude, and scope.

Can family members be teammates in the NICU?: an observational investigation of family-centered teamwork in the neonatal intensive care unit

ABSTRACT Family-centered care is vital in neonatal intensive care units (NICUs), where family involvement is linked with improved patient outcomes. However, collaborating with patient families presents unique challenges for medical teams. The purpose of this research is to identify behaviors NICU teams use to promote family-centered teamwork. This study used qualitative data from observations of 320 patient rounding events. Results were analyzed using content analysis. Observed behaviors were categorized into five themes, which captured medical team members’ efforts to include patient families in teamwork: inviting families to participate in teamwork, developing a shared mental model of goals and plans, empowering family caregiving in the hospital and preparing family for discharge, coordinating communication between family and medical team, and developing positive relationships with patient families. The findings from this study emphasize that providers can include patient families in the NICU team, despite challenges associated with doing so.

Supporting risk management through cyberspace: An adaptive network model simulating AI coach effects by inducing adherence to guidelines in neonatal medical protocols

In this article, it is shown how second-order adaptive agent-based network models can be used to support a medical team in healthcare institutions to adhere to specific Neonatal Hypoglycemia and Neonatal Hyperbilirubinemia treatment guidelines through the integration of an Artificial Intelligence (AI) Virtual Coach. The proposed AI Coach is designed to provide timely interventions and correct deviations when lapses in the health care practitioner’s internal mental model occur. Through simulating three different scenarios, the internal dynamics of these mental models, adaptive changes of these mental models (learning and forgetting), and the interaction between health care practitioners and the world is shown when: (1) There is perfect adherence to guidelines, (2) There is imperfect adherence to guidelines and (3) There is both perfect and imperfect adherence to guidelines alongside interventions of the AI Coach in the latter case.

Teaching for transfer of learning in health professions education: AMEE Guide No. 176

Transfer of learning occurs when past learning is applied to new situations, and also at a varying time from the initial time of learning. Importantly, research in both academic and clinical areas of health professions education has highlighted that transfer of learning often does not successfully occur. Successful transfer is multi-dimensional and occurs when the learner has the required motivation, mental model, metacognitive processes relevant to the task, and the opportunity to transfer their learning to different situations. An essential aspect of successful transfer is the educator. This Guide provides an overview of an integrated model of transfer that can inform a variety of practical teaching strategies in both academic and clinical areas of health professions education.

Utilizing drawings to understand how our backgrounds and experiences change our plant mental models

Societal Impact StatementOur culture, life experiences, and the places we live teach us about the world around us and the plants within it. This information gives each individual distinct mental models. By delving into plant mental models of young adults, this study offers insights into the complex landscape of plant knowledge, with a special emphasis on Indigenous communities. Beyond broadening our understanding, these findings provide valuable resources for educators and researchers striving to bridge the gap in plant literacy. Moreover, the methods used offer a blueprint for similar investigations globally, which will foster a deeper understanding of plant awareness across diverse populations.Summary Plant mental models, or what people think about when they think of a given plant, give insight into a person's knowledge and understanding of plants. However, little to no research has been conducted on plant mental models of young adults or comparing mental models across demographics. This study assessed college students' plant mental models in the demographic categories of race, gender, rurality, and college type (tribal vs. non‐tribal), as well as experience in art, photography, and plant identification, to determine the impact of these factors on plant mental models. A total of 697 students from three tribal and three non‐tribal colleges enrolled in a specific introductory biology course participated. Participants completed four drawings, which represented their mental model of a plant, flower, grass, and tree. They also completed a short survey about demographics and experience with art, photography, and plant identification. Tree drawings had the most detail, and grass drawings had the least. Gender was the only demographic factor that impacted the detail drawn, with females including more detail for flowers and trees and males for grass. Surprisingly, experience with art, photography, and plant identification did not impact the detail included in the drawings. Overall, participants plant mental models across demographics were simplistic and lacked detail, potentially indicating a lack of plant awareness.

Create and strengthening innovation ecosystem: roles of policy-affiliated transition intermediaries in latecomers

Purpose This study aims to explore the functions of policy-affiliated intermediaries and their roles in driving innovation in latecomers. Design/methodology/approach Latecomers have recently recognized the significance of an innovation ecosystem in transitioning to an innovation-driven economy. However, these countries encounter various market and system failures, making policy-affiliated transition intermediaries crucial in orchestrating innovation ecosystems. To achieve this, this study used a case study of a policy-affiliated intermediary and conducted interviews with 19 managers. The results from the content analysis revealed that innovation intermediaries in latecomers perform more comprehensive duties than those mentioned in the literature in the transition to innovation-based development. Findings Results show that the most important of policy-affiliated innovation intermediaries’ roles is orientation to the government and private sector market, attracting the participation of the private sector through the implementation of tax credits and the development of the corporate innovation ecosystem, developing science and technology parks, developing laboratory research infrastructure, supporting prominent and capable professors to create innovation networks, developing innovation zones around research institutions and leading universities and developing international scientific cooperation. These are new and important functions that innovation intermediaries should play in the transition process. Originality/value The research found that the innovation intermediary acts as a change agent in the mental model of other executive and decision-making bodies. Also result shows that this intermediaries can play more roles than what is mentioned in the literature for the development of innovation.

التوجه الريادي و أثره في بناء المنظمات المتعلمة

The study aimed to explore the impact of the entrepreneurial orientation (innovative, risk-taking, proactive, competitive aggressiveness) on building learning organizations with their dimensions (personal mastery, mental models, shared vision, team learning, and systemic thinking) in Yemeni universities represented by Aden University and the University of Technology and Science. The study relied on the descriptive analytical approach, and data was collected through a questionnaire distributed to a sample of faculty members at Sana'a University and the University of Technology and Science, totaling 320 individuals. Data were analyzed using the SPSS statistical software. The findings revealed that the entrepreneurial orientation in Yemeni universities significantly influences the establishment of learning organizations. The study indicated the need for Yemeni universities to enhance entrepreneurial orientations by adopting innovative and proactive approaches to achieve competitive advantages in light of dynamic environmental changes. The results showed the importance of building learning organizations to improve the performance of Yemeni universities and enhance their role in achieving sustainable development by providing qualified graduates capable of integrating into the labor market and contributing to knowledge and innovation. The study recommends that Yemeni universities continue developing entrepreneurial orientations (innovative, risk-taking, and proactive) and enhance them to build learning organizations, which are essential for improving university performance and achieving excellence in education.

A Systematic Literature Review on the Influence of Enhanced Developer Experience on Developers' Productivity: Factors, Practices, and Recommendations

Context and Motivation – Developer eXperience (Dev-X) is a recent research area that focuses on developers perceptions, feelings, and values with respect to software development and software quality. Research suggests that factors and practices related to Dev-X can have a substantial impact on developer productivity (Dev-P). However, despite a large and diverse body of literature on factors that can impact Dev-P in general, there is no coherent and comprehensive characterization of how Dev-X-specific insights can influence developer productivity. Aims – In the presented research, we aim to provide a coherent, comprehensive characterization of factors and practices related to Dev-X, with a particular focus on those factors and practices that potentially affect Dev-P. Method – To this end, we performed a systematic literature review and identified 218 relevant papers in this area. We characterize the papers based on the related frameworks and concepts common to Dev-X and Dev-P as presented in the existing literature. Dev-X factors such as “work fragmentation” and practices such as “collaboration with owner-developer” are identified using a grounded-in-the-literature, content-analysis method, guided by the theory. For each Dev-X factor, we identify attributes that might be used to assess/ measure the current status (of an organization or project) regarding that factor and how that factor and its effects on productivity have been evidenced in the literature (mentioned vs. considered in questionnaires vs. substantiated with a more positivist evaluation). Results – We identify 33 Dev-X-related factors and 41 Dev-X-related practices, which are organized into 10 themes to summarize their influence. The results suggest that the availability of required resources, relevant expertise re the allocated tasks, and fewer interruptions are among the top positively impacting factors. Conversely, factors such as code complexity, heterogeneous contexts of tasks, and non-adherence to standardization harm Dev-X and Dev-P. Top industrial practices employed to mitigate the negative influence of factors include characterization-based task assignments, mental model support, and the timely evolution of technologies. Conclusions – Overall, this research suggests that organizations can influence Dev-P through improved Dev-X, incorporating suitable practices to mediate relevant factors in their context. Important in this regard are practices such as fragmenting large tasks, highlighting the utility of proposed tasks/changes to the developers, and promoting (developer) ownership of artefacts. Finally, our results point to areas where further research seems appropriate, i.e., where Dev-X factors/practices have been proposed as being impactful on Dev-P but not yet fully substantiated or explored as such (factors like “Nature of Activity” and practices like choosing practices/protocols appropriately).

A Review Paper on Human Computer Interaction

The development of computer technology has materialized into the term of human computer interaction. Research studies in human computer interaction studied young age groups that are educated and technically inclined. This paper will study the mental model in Human Computer Interaction that could be useful in some area. There are a number of types of this review paper on the Internet. One will lay out the current approach, result, trends, in the human computer interaction and the other approach will look into research construction that have been around long before but are now forgotten. In this paper, the author is also looking at the landscape in the emotional intelligence of a user so that they are more user like, fidelity prototyping. The development and design of an automated system that performs this task is still being undertaken. The notion of human-computer interaction is conceived as a result of the evolution of the development criteria of computer technology. The next generation of individuals (those at a younger age cohort) in which is termed an educated, technical, or at least knowledgeable individual will also be the focus of individual (tech) research experiments in human-computer interaction. Human-computer interaction (HCI) refers to both technical and human behaving aspects. The central tenets of practical studies in human-computer interaction are to reveal implicit knowledge about human behaviour and human interaction with technology. Resilience is set of behaving contextually taken collectively reacts to challenges. The term resilience has been applied to virtually everything from the economy, real estate, sports, psychology, business, and education, and the list could and can go on. Resilience is mainly comprised or made of a number of different abilities and skills as a way to be able to relate effectively to others, build relationships, self-efficacy, optimism, and self-awareness, creating meaning from other experiences form these are essential combination of competencies. In this manner people should use this in order to optimize the value of the resilience of an organization. This becomes important resourcefulness knowledge of the help available to increasing capacity to deal with the challenges facing change, overcoming (wasting time) relative to everything that could be done alternatively.

Getting to the situation: the N400 can indicate meaning integration beyond word priming

ABSTRACT Can integration processes during reading be detected in the N400 time window? Although many results have supported this possibility, recent research controlling for semantic priming concluded that only word-meaning retrieval is detected in the N400 [Delogu, F., Brouwer, H., & Crocker, M. W. (2019). Event-related potentials index lexical retrieval (N400) and integration (P600) during language comprehension. Brain and Cognition, 135, 103569. https://doi.org/10.1016/j.bandc.2019.05.007]. We report three experiments designed to detect N400 integration effects by encouraging situation-level comprehension, manipulating integration difficulty through event congruence. Experiments 1 and 2 created narrative texts and questions targeting attention to event structures, showing priming but no additional integration effects. In Experiment 3, readers formed mental images, updating their mental model with each sentence. The results show integration effects during the N400 window and later around 600 ms, indicating both priming and message-level integration effects can emerge in the N400 when readers engage in situational comprehension.

A quality improvement initiative to reduce excess inhaled therapy use in the neonatal intensive care unit.

Inhaled medications are commonly used at our single-center, Level IV neonatal intensive care unit (NICU). We lacked a standardized process for measuring efficacy of these medications to guide optimal duration of use, potentially leading to their overuse. We utilized quality improvement methodology to reduce the length of inhaled hypertonic saline (HTS) course durations and high frequency albuterol use. Interventions included education, data sharing, and implementation of a respiratory therapy assessment tool. The average inhaled HTS course duration decreased from 8.7 to 4.2 days. The percentage of q4 albuterol administrations per total albuterol doses administered monthly decreased from 39 to 20%. Developing a shared mental model between interprofessional providers for the indication and effect of inhaled agents and standardizing assessment of these medications' efficacy can reduce their overuse.

ECO-MIND: enhancing pro-environmental behaviours and mental health through nature contact for urban youth – a research protocol for a multi-country study using geographic ecological momentary assessment and mental models

IntroductionUrban youth are experiencing increasing mental health problems due to diverse personal, social and environmental concerns. Youths’ detachment from natural environments, including green and blue spaces, may intensify such issues...

Climate change stands as the new challenge for whale watching and North Pacific gray whales (Eschrichtius robustus) in Bahia Magdalena, Mexico, after their recovery from overexploitation

IntroductionSocial-ecological systems (SES) recognize the intricate relationship between human activities and the environment and advocate for comprehensive approaches to address complex environmental issues. This study investigates the factors influencing whale watching, particularly the gray whale (Eschrichtius robustus) in northern Mexico, after significant recovery following overexploitation. Despite reaching a peak in 2015, the eastern North Pacific gray whales experienced unusual mortality events (UME), the most recent from 2019 to 2023, leading to a population decline and historically low calf production in 2022. This decline is evident in the reduced presence of whales and calves in winter breeding lagoons. Concurrently, whale watching has become a significant tourist attraction in these areas.MethodsOur objective was to develop a mental model of the SES of gray whale watching, integrating ecological and socioeconomic data to identify key variables and interactions that support system resilience. From an ecological perspective, we analyzed the long-term temporal trends of eight years of gray whale counts in the southernmost breeding and nursing lagoons within the Bahía Magdalena–Bahía Almejas Complex, Mexico. Additionally, we incorporated the current discussion in the literature about the potential impact of global climate change on gray whale populations. In the socioeconomic subsystem, we used participatory methods, including interviews, surveys, and workshops with government officials, tourism operators, and visitors. We also added on-site assessments of compliance with welfare regulations to understand tourism dynamics. ResultsOur findings identified as main external stressors the changes in ice levels in feeding areas and sea warming in breeding areas, and as internal stressors the compliance with official regulations and the number of vessels observing whales at the same time. The key socioeconomic factor of the system was tourist satisfaction, influenced by factors such as the quality of the information provided by operators. DiscussionUltimately, our mental model provides a framework for further exploration of relevant interactions and trajectories, offering insights for developing effective management strategies.

Integrating Values to Improve the Relevance of Climate‐Risk Research

AbstractClimate risks are growing. Research is increasingly important to inform the design of risk‐management strategies. Assessing such strategies necessarily brings values into research. But the values assumed within research (often only implicitly) may not align with those of stakeholders and decision makers. These misalignments are often invisible to researchers and can severely limit research relevance or lead to inappropriate policy advice. Aligning strategy assessments with stakeholders' values requires a holistic approach to research design that is oriented around those values from the start. Integrating values into research in this way requires collaboration with stakeholders, integration across disciplines, and attention to all aspects of research design. Here we describe and demonstrate a qualitative conceptual tool called a values‐informed mental model (ViMM) to support such values‐centered research design. ViMMs map stakeholders' values onto a conceptual model of a study system to visualize the intersection of those values with coupled natural‐human system dynamics. Through this mapping, ViMMs integrate inputs from diverse collaborators to support the design of research that assesses risk‐management strategies in light of stakeholders' values. We define a visual language for ViMMs, describe accompanying practices and workflows, and present an illustrative application to the case of flood‐risk management in a small community along the Susquehanna river in the Northeast United States.