Submission 645
Visualizing Mental Models: Three Applications of Cognitive-Affective Mapping in Research and Practice
SymposiumTalk-03
Presented by: Irina Monno
Cognitive-Affective Mapping (CAM) is a visual-analytical method that has been applied across various research domains, such as conflict resolution (Findlay & Thagard, 2014), the assessment of emerging technologies (Fenn et al., 2023), and the analysis of societal perceptions, for example in the context of the COVID-19 pandemic (Mansell et al., 2021b; Reuter et al., 2021). Evidence suggests that the method can be integrated into different research designs, including cross-sectional and longitudinal studies as well as adaptive designs with real-time feedback. Beyond its diagnostic potential, CAM also serves as a tool for process facilitation. For example, reflecting on one’s own or others’ CAMs can encourage individuals to question their positions, thereby increasing the likelihood of compromise and mutual understanding (Homer-Dixon et al., 2014; Gros et al., 2021). Moreover, recent findings indicate satisfactory inter-rater reliability, supporting the use of CAM as an evaluation instrument (Gros et al., 2024). This contribution illustrates the methodological and practical versatility of CAM through three studies. The first describes a research-oriented application examining whether anticipated concerns about the transition to open office spaces corresponded to actual cognitive and emotional responses. The second example demonstrates an application-oriented use in which CAM supported the moderation and improvement of intergroup dispute. The third case combines both perspectives, employing CAM to evaluate the effectiveness of an intervention in the context of migration. Together, these examples highlight CAM’s potential as a robust, flexible, and reflexive instrument for capturing, facilitating, and evaluating changes in belief systems.