16:30 - 18:00
Parallel sessions 6
16:30 - 18:00
Room: HSZ - N4
Chair/s:
Julius Fenn
Understanding belief systems requires insight into the mental models that underlie how individuals represent and reason about complex or contested phenomena, such as disruptive technologies or political discourses. Mental models are internal representations that describe how people understand the structure and functioning of external systems. They form the cognitive foundation of laypersons’ belief systems and shape how information and values are integrated. To investigate such belief systems, methods that capture both explicit and implicit layers of meaning are needed. This symposium presents two complementary approaches for mapping mental models that differ in their degree of explicitness and the level of participant engagement required. At the explicit end, Cognitive-Affective Maps (CAMs) visualize belief systems as networks of emotionally evaluated concepts and relations. At the more implicit end, the Triads Task captures belief systems of individuals and groups in a standardized way, based on ratings of the similarity of three stimuli.

Julius Fenn (University of Freiburg) presents tools that make CAMs applicable within experimental paradigms. These tools enable researchers to manipulate belief structures, measure changes in affective–cognitive coherence, and integrate CAMs as dependent or independent variables in controlled designs.
René Dutschke (TU Dresden) presents its roots in Kelly’s theory of personal constructs and showcases its applications as a research tool.
Irina Monno (University of Freiburg) explores the potential of CAMs as a method to capture and measure changes in belief systems by visualizing shifts in cognitive and emotional structures.
Michael Gorki (University of Freiburg) uses CAMs alongside questionnaires to examine how “laypersons” conceptualize sustainability, a highly contested concept in public, academia and policy-making.
Bettina Harder (University of Erlangen-Nuremberg) evaluates the use of CAMs in diagnostic and counseling contexts. CAMs have proven to be helpful diagnostic tools by providing in-depth information in a structured way, thereby identifying individually relevant starting points for interventions to deal with stress or test anxiety.

Together, these approaches demonstrate a continuum of mapping techniques, from explicit to implicit. By highlighting their advantages, limitations, and practical potential, the symposium provides insights into new methods for investigating belief systems related to technological, ethical, psychological, and societal issues.
Submission 310
Using Cognitive-Affective Mapping as a Diagnostic Tool to Support Individual Development
SymposiumTalk-05
Presented by: Bettina Harder
Bettina Harder
University of Erlangen-Nürnberg, Germany
Test anxiety and stress symptoms in general have become alarmingly common among university students. Supporting student development and helping them manage study demands in a healthy, sustainable way requires individual diagnostics followed by tailored intervention. Diagnostics should be economic and standardized on the one hand, and deliver in-depth information on the particular constellation of relevant factors on the other hand, often leading to a trade-off. In a first study with N = 19 students, I compared the diagnostic value of cognitive-affective mapping (CAM), an economic and, at the same time, individual, in-depth method, with extant standardized anxiety measures in the context of procrastination behavior and general resource availability. In the week before their end-of-term exams, students who nominated themselves as test-anxious were asked to map their associations with their most feared exam (CAM) and to complete the standard questionnaire scales. It turned out that CAM valence correlated well with standard measures of test anxiety, especially with cognitive aspects, and to a lower degree than standardized measures with procrastination and available resources. However, individual profiles composed of the mentioned measures varied substantially. The highly individual interplay of influential factors underscored the need for detailed case diagnostics, which CAM visualized quickly and explicitly in an easily accessible way. Therefore, it proves high potential as a diagnostic instrument in counseling practice.