Protocol for an interview-based method for mapping mental models using causal-loop diagramming and realist interviewing

Causal-loop diagramming, a method from system dynamics, is increasingly used in evaluation to describe individuals' understanding of how policies or programs do or could work ("mental models"). The use of qualitative interviews to inform model development is common, but guidance for how to design and conduct these interviews to elicit causal information in participant mental models is scant. A key strength of semi-structured qualitative interviews is that they let participants speak freely; they are not, however, designed to elicit causal information. Moreover, much of human communication about mental models-particularly larger causal structures such as feedback loops-is implicit. In qualitative research, part of the skill and art of effective interviewing and analysis involves listening for information that is expressed implicitly. Similarly, a skilled facilitator can recognize and inquire about implied causal structures, as is commonly done in group model building. To standardize and make accessible these approaches, we have formalized a protocol for designing and conducting semi-structured interviews tailored to eliciting mental models using causal-loop diagramming. We build on qualitative research methods, system dynamics, and realist interviewing. This novel, integrative method is designed to increase transparency and rigor in the use of interviews for system dynamics and has a variety of potential applications.

Exploring Dynamics of Water, Energy, and Food Systems in Agricultural Landscapes Using Mental Modeling: A Case of Varamin Plain, Iran

This study applies the mental model and cognitive mapping method to involve stakeholders in delineating the mutual relations between sources of water, energy, and food (WEF) production in the Varamin Plain (VP). Through involving farmers and managerial experts, the approach facilitates the deployment of community communication patterns to recognize and comprehend problems and move from single-loop learning to double-loop learning. The dynamic model was driven from the final mental model of the participants to reflect changes in the systems over time. The system dynamic (SD) model incorporates three scenarios for enhancing irrigation efficiency, managing groundwater extraction, and satisfying environmental needs. The results uncovered that the surface and underground water resources of the VP will gradually decrease within the next two decades in the range of 158 and 2700 million cubic meters (MCM) per year. Also, the plain suffers from water insecurity and a 162 MCM shortage. Consequently, focusing on understanding the nexus and nexus governance can enhance resource management and achieve sustainable development goals. Essentially, promoting collaborative governance, such as creating cooperative organizations and implementing double-loop learning, and instituting a water market, regulatory governance, and monitoring laws can improve the state of Varamin Plain's resources. These results carry important policy implications for using mental models to consider dynamics for discussions on participatory management of the WEF system nexus and environmental management.

Imagery, emotion, and bioinformational theory: From body to brain

The bioinformational theory of emotional imagery is a model of the hypothetical mental representations activated when people imagine emotionally engaging events, and was initially proposed to guide research and practice in the use of imaginal exposure as a treatment for fear and anxiety (Lang, 1979). In this 50 year overview, we discuss the development of bioinformational theory and its impact on the study of psychophysiology and psychopathology, most importantly assessing its viability and predictions in light of more recent brain-based studies of neural functional activation. Bioinformational theory proposes that narrative imagery, typically cued by language scripts, activates an associative memory network in the brain that includes stimulus (e.g., agents, contexts), semantic (e.g., facts and beliefs) and, most critically for emotion, response information (e.g., autonomic and somatic) that represents relevant real-world coping actions and reactions. Psychophysiological studies in healthy and clinical samples reliably find measurable response output during aversive and appetitive narrative imagery. Neuroimaging studies confirm that emotional imagery is associated with significant activation in motor regions of the brain, as well as in regions implicated in episodic and semantic memory retrieval, supporting the bioinformational view that narrative imagery prompts mental simulation of events that critically includes the actions and reactions engaged in emotional contexts.

Wellness Management in Beef Feeder Cattle: Changing Mental Models to Support Beneficial Emergent System Behaviors

Despite evidence-based "improvements" in animal health products and management, losses to bovine respiratory disease have increased with associated animal wastage, welfare concerns, and antimicrobial use; questioning the fitness of current disease-centric paradigms for improving critical outcomes in complex adaptive systems. Systems thinking is used to model a paradigm shift from mental models based on management of failure outcomes in a flawed pass/fail dichotomy to one of managing success outcomes on a continuum. In the proposed wellness paradigm, the notion of health as absence of disease is rejected and replaced with perspective of disease as symptomatic of systems insufficiently supporting wellness.

Inferences from the negation of counterfactual and semifactual conditionals

Our goal was to study how people understand the negation of counterfactuals (such as “Antonio denied/said that it is false that if Messi had played, then Barcelona would have won”) and semifactuals (such as “Antonio denied that even if Messi had played, Barcelona would have won”). Previous studies have shown that participants negated basic conditionals using small-scope interpretations by endorsing a new conditional with the negated consequent, but also by making large-scope interpretations, endorsing a conjunction with the negated consequent. Three experiments showed that when participants were asked whether the negation of a counterfactual (Experiments 1 and 2) or semifactual (Experiment 3) conditional was followed by a new conditional, they made a small-scope interpretation, endorsing the same conditional with the negated consequent (e.g., “if/even if Messi had played, Barcelona would not have won”). However, they also accepted the conditional with the negated antecedent for semifactuals (e.g., “even if Messi had not played, Barcelona would have won”). When participants were asked whether the negation of a counterfactual or semifactual conditional is followed by a conjunction, they endorsed the conjunction with both the negated antecedent and the consequent (e.g., “Messi did not play and Barcelona did not win”), but again they accepted the conjunction with the negated antecedent only for semifactuals (e.g., “Messi did not play and Barcelona did win”). These results have implications for the main theories of reasoning.

An Autocatalytic Network Model of Conceptual Change

In reflexively autocatalytic foodset (RAF)-generated networks, nodes are not only passive transmitters of activation, but they also actively galvanize, or "catalyze" the synthesis of novel ("foodset-derived") nodes from existing ones (the "foodset"). Thus, RAFs are uniquely suited to modeling how new structure grows out of currently available structure, and analyzing phase transitions in potentially very large networks. RAFs have been used to model the origins of evolutionary processes, both biological (the origin of life) and cultural (the origin of cumulative innovation), and may potentially provide an overarching framework that integrates evolutionary and developmental approaches to cognition. Applied to cognition, the foodset consists of information obtained through social learning or individual learning of pre-existing information, and foodset-derived items arise through mental operations resulting in new information. Thus, mental representations are not only propagators of spreading activation, but they also trigger the derivation of new mental representations. To illustrate the application of RAF networks in cognitive science, we develop a step-by-step process model of conceptual change (i.e., the process by which a child becomes an active participant in cultural evolution), focusing on childrens' mental models of the shape of the Earth. Using results from (Vosniadou & Brewer, 1992), we model different trajectories from the flat Earth model to the spherical Earth model, as well as the impact of other factors, such as pretend play, on cognitive development. As RAFs increase in size and number, they begin to merge, bridging previously compartmentalized knowledge, and get subsumed by a giant RAF (the maxRAF) that constrains and enables the scaffolding of new conceptual structure. At this point, the cognitive network becomes self-sustaining and self-organizing. The child can reliably frame new knowledge and experiences in terms of previous ones, and engage in recursive representational redescription and abstract thought. We suggest that individual differences in the reactivity of mental representations, that is, their proclivity to trigger conceptual change, culminate in different cognitive networks and concomitant learning trajectories.

Nurses' generational stereotypes and self-stereotypes: a cognitive study

PURPOSE

The present research offers insights into the generational stereotypical beliefs that different generations of nurses hold about the own and the other generations and the implications on the work floor.

DESIGN/METHODOLOGY/APPROACH

This cross-sectional, exploratory study employs a cognitive mapping approach known as the repertory grid. The sample consisted of 15 Generation Y, 15 Generation X and 15 Baby Boomer nurses.

FINDINGS

Beliefs of nurses about their own and the other generations direct social categorization and generational stereotypes of the in-group and out groups. These stereotypes mold nurses' beliefs and attitudes towards their coworkers and are enacted leading to self-fulfilling prophecies. Especially Generation Y and Baby Boomer nurses are negatively stereotyped and have their ways to deal with these negative stereotypes.

PRACTICAL IMPLICATIONS

Nurses and their managers who hold generational stereotypes may unknowingly create cliques within an organization and adopt behaviors and expectations based on generational (self-) stereotypes. The author offers noteworthy insights for fostering intergenerational synergies amongst nurses, which are important since the level of interdependent relations amongst nurses required to provide care.

ORIGINALITY/VALUE

The present study moves away from the research about the typical characteristics of nurses across the generational workforce. Instead, mental models about how different generations of nurses construe their coworkers belonging to different generations including their own generation are drawn. Employing the repertory grid technique (RGT), an established method for uncovering people's personal and collective belief systems, the present study shows how generational stereotyping and self-stereotyping among nurses belonging to varying generational cohorts occurs and debates its implications.

Motives, mentalities and dietary change: An exploration of the factors that drive and sustain alternative dietary lifestyles

Any transition to a sustainable food system will require long-term changes in consumer behaviour, including a major reduction in the proportion of animal-based foods in people's diets. Such long-term dietary changes have widely been found difficult to achieve, however, since eating behaviors are interlinked with habits and lifestyles. In order to attain a better understanding of the driving forces that guide and support changes in eating patterns, this study identifies some of the key factors that lead people not only to adopt alternative dietary lifestyles but also to sustain these lifestyles over the long term. A generic qualitative methodology was used to gather and analyse qualitative data on the food-related motivations and identities of 17 long-term 'alternative dieters'. Our content analysis of this data revealed the following three factors to be particularly relevant in motivations for dietary change: (1) the experience of a 'key moment'; (2) the accumulation of knowledge; and (3) health concerns. While our findings show that the experience of key moments tends to catalyse immediate behavioral responses, changes due to knowledge and health concerns appear to lead to more gradual and organized processes of change. Regarding the mentalities that seem to reinforce and help sustain the transition to long-lasting alternative diets, our study identified three further characteristics: (1) self-reflectiveness; (2) responsibility; and (3) interconnectedness. Overall, our findings provide valuable insights into the key drivers that initiate processes of long-lasting dietary change as well as the mentalities that serve to underpin and sustain such changes. Follow-up research with a largersample of participants is recommended to confirm and further explore these characteristics as a means of informing policies aiming at achieving a transition to more sustainable food systems.

What we count dictates how we count: A tale of two encodings

We argue that what we count has a crucial impact on how we count, to the extent that even adults may have difficulty using elementary mathematical notions in concrete situations. Specifically, we investigate how the use of certain types of quantities (durations, heights, number of floors) may emphasize the ordinality of the numbers featured in a problem, whereas other quantities (collections, weights, prices) may emphasize the cardinality of the depicted numerical situations. We suggest that this distinction leads to the construction of one of two possible encodings, either a cardinal or an ordinal representation. This difference should, in turn, constrain the way we approach problems, influencing our mathematical reasoning in multiple activities. This hypothesis is tested in six experiments (N = 916), using different versions of multiple-strategy arithmetic word problems. We show that the distinction between cardinal and ordinal quantities predicts problem sorting (Experiment 1), perception of similarity between problems (Experiment 2), direct problem comparison (Experiment 3), choice of a solving algorithm (Experiment 4), problem solvability estimation (Experiment 5) and solution validity assessment (Experiment 6). The results provide converging clues shedding light into the fundamental importance of the cardinal versus ordinal distinction on adults' reasoning about numerical situations. Overall, we report multiple evidence that general, non-mathematical knowledge associated with the use of different quantities shapes adults' encoding, recoding and solving of mathematical word problems. The implications regarding mathematical cognition and theories of arithmetic problem solving are discussed.

Who do you trust? The digital destruction of shared situational awareness and the COVID-19 infodemic

Developments in centrally managed communications (e.g. Twitter, Facebook) and service (e.g. Uber, airbnb) platforms, search engines and data aggregation (e.g. Google) as well as data analytics and artificial intelligence, have created an era of digital disruption during the last decade. Individual user profiles are produced by platform providers to make money from tracking, predicting, exploiting and influencing their users' decision preferences and behavior, while product and service providers transform their business models by targeting potential customers with more accuracy. There have been many social and economic benefits to this digital disruption, but it has also largely contributed to the digital destruction of mental model alignment and shared situational awareness through the propagation of mis-information i.e. reinforcement of dissonant mental models by recommender algorithms, bots and trusted individual platform users (influencers). To mitigate this process of digital destruction, new methods and approaches to the centralized management of these platforms are needed to build on and encourage trust in the actors that use them (and by association trust in their mental models). The global 'infodemic' resulting from the COVID-19 pandemic of 2020, highlights the current problem confronting the information system discipline and the urgency of finding workable solutions.

Evolution of the mental model: From archaic myths to modern myths

In an era marked by accelerating change and destabilisation of many structures and regularities in almost all domains, it becomes crucial to understand the source and nature of the unfolding crises and their relation to social dynamics. In this paper the evolution of social dynamics is investigated not on the basis of observable structures, but the mental model of human agents, that is, how they both perceive and conceive of the world and their relation to it. For this purpose, the paper reaches out to Ancient Mesopotamia, where the oldest written documents provide evidence about the evolution of the mental model as it has been preserved in the form of myths. Some key notions filtered out from some important myths are used to analyse the interaction between the mental model and social dynamics. Finally, some criteria and directions are suggested for the present-day crises.

How to think like an emergency care provider: a conceptual mental model for decision making in emergency care

BACKGROUND

General medicine commonly adopts a strategy based on the analytic approach utilizing the hypothetico-deductive method. Medical emergency care and education have been following similarly the same approach. However, the unique milieu and task complexity in emergency care settings pose a challenge to the analytic approach, particularly when confronted with a critically ill patient who requires immediate action. Despite having discussions in the literature addressing the unique characteristics of medical emergency care settings, there has been hardly any alternative structured mental model proposed to overcome those challenges.

METHODS

This paper attempts to address a conceptual mental model for emergency care that combines both analytic as well as non-analytic methods in decision making.

RESULTS

The proposed model is organized in an alphabetical mnemonic, A-H. The proposed model includes eight steps for approaching emergency cases, viz., awareness, basic supportive measures, control of potential threats, diagnostics, emergency care, follow-up, groups of particular interest, and highlights. These steps might be utilized to organize and prioritize the management of emergency patients.

DISCUSSION

Metacognition is very important to develop practicable mental models in practice. The proposed model is flexible and takes into consideration the dynamicity of emergency cases. It also combines both analytic and non-analytic skills in medical education and practice.

CONCLUSION

Combining various clinical reasoning provides better opportunity, particularly for trainees and novices, to develop their experience and learn new skills. This mental model could be also of help for seasoned practitioners in their teaching, audits, and review of emergency cases.

Development of a collaborative model of low back pain: report from the 2017 NASS consensus meeting

BACKGROUND CONTEXT

Low back pain (LBP) is a multifactorial problem with complex interactions among many biological, psychological and social factors. It is difficult to fully appreciate this complexity because the knowledge necessary to do so is distributed over many areas of expertise that span the biopsychosocial domains.

PURPOSE

This study describes the collaborative modeling process, undertaken among a group of participants with diverse expertise in LBP, to build a model to enhance understanding and communicate the complexity of the LBP problem.

STUDY DESIGN

The study involved generating individual models that represented participants' understanding of the LBP problem using fuzzy cognitive mapping (FCM), and 4 subsequent phases of consultation and consensus with the participants to characterize and refine the interpretation of the FCMs.

METHODS

The phases consisted of: proposal of Categories for clustering of model Components; preliminary evaluation of structure, composition and focal areas of participant's FCMs; refinement of Categories and Components with consensus meeting; generation of final structure and composition of individual participant's FCMs. Descriptive statistics were applied to the structural and composition metrics of individual FCMs to aid interpretation.

RESULTS

From 38 invited contributors, 29 (76%) agreed to participate. They represented 9 disciplines and 8 countries. Participants' models included 729 Components, with an average of 25 (SD = 7) per model. After the final FCM refinement process (Components from separate FCMs that used similar terms were combined, and Components from an FCM that included multiple terms were separated), there were 147 Components allocated to ten Categories. Although individual models varied in their structure and composition, a common opinion emerged that psychological factors are particularly important in the presentation of LBP. Collectively, Components allocated to the "Psychology" Category were the most central in almost half (14/29) of the individual models.

CONCLUSIONS

The collaborative modeling process outlined in this paper provides a foundation upon which to build a greater understanding and to communicate the complexity of the LBP problem. The next step is to aggregate individual FCMs into a metamodel and begin disentangling the interactions among its Components. This will lead to an improved understanding of the complexity of LBP, and hopefully to improved outcomes for those suffering from this condition.

Reductions in self-reported stress and anticipatory heart rate with the use of a semi-automated parallel parking system

Drivers' reactions to a semi-autonomous technology for assisted parallel parking system were evaluated in a field experiment. A sample of 42 drivers balanced by gender and across three age groups (20-29, 40-49, 60-69) were given a comprehensive briefing, saw the technology demonstrated, practiced parallel parking 3 times each with and without the assistive technology, and then were assessed on an additional 3 parking events each with and without the technology. Anticipatory stress, as measured by heart rate, was significantly lower when drivers approached a parking space knowing that they would be using the assistive technology as opposed to manually parking. Self-reported stress levels following assisted parks were also lower. Thus, both subjective and objective data support the position that the assistive technology reduced stress levels in drivers who were given detailed training. It was observed that drivers decreased their use of turn signals when using the semi-autonomous technology, raising a caution concerning unintended lapses in safe driving behaviors that may occur when assistive technologies are used.

The effects of prior learned strategies on updating an opponent's strategy in the rock, paper, scissors game

To explore how model building adapts to changing environments, we had participants play "rock-paper-scissors" against a computer that played a frequency bias or a player-dependent bias and then switched. Participants demonstrated their use of prior experience in how quickly they recognized and exploited changes in the computer's play strategy; in general, the more similar the strategies, the more efficient the updating. These findings inform our understanding of previously reported updating impairments in right-brain damaged patients.