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Shaking Takete and Flowing Maluma. Non-Sense Words Are Associated with Motion Patterns
Markus Koppensteiner1, Pia Stephan1, Johannes Paul Michael Jäschke1
1Department of Anthropology, University of Vienna, Vienna, Austria.
People link angular body movements to "takete" and smooth movements to "maluma." This study reveals a cross-modal correspondence between human motion and word sounds, impacting person perception.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Human Motion Analysis
Background:
- The Bouba/Kiki effect demonstrates a cross-modal correspondence between speech sounds and visual shapes.
- This phenomenon suggests that abstract features of sensory information can be mapped across different modalities.
Purpose of the Study:
- To investigate if cross-modal correspondences, similar to the Bouba/Kiki effect, exist for human body motion.
- To determine if abstract qualities like angularity and smoothness in movement align with specific artificial words.
Main Methods:
- Body movements were captured, digitized, and animated as stick-figure representations.
- Participants rated these animations using word pairs (takete-maluma, bouba-kiki) and descriptors of angularity/smoothness.
- Quantitative motion features (quantity, velocity, angle changes) were extracted from movement data.
Main Results:
- Judgments of 'takete' correlated with angularity, high motion quantity, high velocity, and sharp angle changes.
- 'Maluma' judgments aligned with smooth movements, low velocity, lower motion quantity, and blunter angles.
- Forced-choice tasks confirmed preference for 'takete' with fast, sharp movements and 'maluma' with slow, smooth movements.
Conclusions:
- Human body motion possesses features that correspond with abstract properties of words like 'takete' and 'maluma'.
- Individuals perceive body movements based on changes in motion direction, linking them to perceived angularity or smoothness.
- Further research is needed to explore the communicative value of these cross-modal perceptions in social contexts.
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