Cognitive-affective maps extended logic: Proposing tools to collect and analyze attitudes and belief systems

Cognitive-affective maps extended logic is a software package that includes three tools designed for the collection and analysis of cognitive-affective maps (CAMs). CAMs are an innovative research method used to identify, visually represent, and analyze belief systems or any semantic knowledge. By instructing participants on how to draw a CAM, they can create a visual depiction of a belief system that illustrates their attitudes, thoughts, and emotional associations regarding a specific topic. CAMs can be considered as networks enabling participants to freely draw concepts and illustrate the affective (emotional) evaluations and connections between them. To simplify the creation of CAM studies, we first developed an administrative panel for researchers which enables them to set up CAM studies without any coding. Second, to draw CAMs, a tool was developed to give participants the opportunity to create a visual depiction of their own belief system regarding a specific topic. Third, the resulting data can be analyzed using the respective data analysis app, which tracks each analysis step to make the analysis process fully transparent. As a time-efficient approach, CAMs can be used to inform exploratory research questions, like the conceptualization of surveys, or be valuable as an independent method. The tools are available under a free and open-source license. Further information, code, and comprehensive documentation are available at https://drawyourminds.de .

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Publication Details

Journal
Behavior Research Methods
Published
2025-05-19
DOI
https://doi.org/10.3758/s13428-025-02699-y
Citations
2
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
4.96

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article

Cognitive-affective maps extended logic: Proposing tools to collect and analyze attitudes and belief systems

Andrea Kiesel, Florian Gouret, Julius Fenn, Lisa Reuter et al.
2 citations
Behavior Research Methods
Cognitive Science and Mapping
4.96
article

Cognitive-affective maps extended logic: Proposing tools to collect and analyze attitudes and belief systems

Andrea Kiesel, Florian Gouret, Julius Fenn, Lisa Reuter, Wilhelm Gros, Michael Gorki, Paul Hüttner
article en
2 citations

Abstract

Cognitive-affective maps extended logic is a software package that includes three tools designed for the collection and analysis of cognitive-affective maps (CAMs). CAMs are an innovative research method used to identify, visually represent, and analyze belief systems or any semantic knowledge. By instructing participants on how to draw a CAM, they can create a visual depiction of a belief system that illustrates their attitudes, thoughts, and emotional associations regarding a specific topic. CAMs can be considered as networks enabling participants to freely draw concepts and illustrate the affective (emotional) evaluations and connections between them. To simplify the creation of CAM studies, we first developed an administrative panel for researchers which enables them to set up CAM studies without any coding. Second, to draw CAMs, a tool was developed to give participants the opportunity to create a visual depiction of their own belief system regarding a specific topic. Third, the resulting data can be analyzed using the respective data analysis app, which tracks each analysis step to make the analysis process fully transparent. As a time-efficient approach, CAMs can be used to inform exploratory research questions, like the conceptualization of surveys, or be valuable as an independent method. The tools are available under a free and open-source license. Further information, code, and comprehensive documentation are available at https://drawyourminds.de .

Behavior Research MethodsVol. 57(6)
University of Freiburg (DE)
Deutsche Forschungsgemeinschaft, Albert-Ludwigs-Universität Freiburg
Quality Education
Openalex Percentile: Top 5%
Cognitive Science and Mapping
4.96
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