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 537
Same, Same, or Different? The Repertory Grid Technique as a Basis for Capturing Belief Systems
SymposiumTalk-02
Presented by: René Dutschke
René Dutschke
TUD Dresden University of Technology, Germany
People's positions towards broad and complex topics are best captured not by single attitudes and beliefs, but rather by focusing on broader belief systems. Investigating belief systems necessitates a focus on the interconnectedness of concepts within people's mental models. The repertory grid technique, with its theoretical foundation in Kelly's personal construct psychology, is a promising approach to capture the complexity and interconnectedness of belief systems. It is based on the idea that people make sense of the world by developing a set of internal reference axes, and subsequently using these for evaluating and anticipating events, concepts, and objects. The constitutive procedure behind the repertory grid relies on a person making similarity and difference decisions for three stimuli (i.e. concepts, objects) at a time to get an understanding of this person's set of reference axes. This talk shows two adaptations of the repertory grid for capturing belief systems. The triads task is presented as a standardized, computerized, retest-reliable procedure to measure and visualize belief systems of individuals and groups in form of cognitive-affective maps (CAMs). Repertory grid interviews on the other hand offer a semi-structured approach yielding qualitative and quantitative outcomes as a means to get an in-depth understanding of a person's belief system. Data and results from both approaches will be presented to illustrate the versatility and practicality of the Repertory Grid technique to capture belief systems.