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Exploring the Guessing-Game Experimental Paradigm: Inferences From Closed- Versus Open-Ended Semantic Space
Svetlana Kuleshova1,2,3, Aleksandra Ćwiek1,2,4, Stefan Hartmann5
1Center for Language Evolution Studies, Nicolaus Copernicus University in Toruń.
Measuring success in signal comprehension experiments significantly impacts findings. Open-ended responses reveal that signal properties, not participant skill, determine understanding of novel vocalizations and ape gestures.
Area of Science:
- Cognitive Science
- Animal Communication
- Linguistics
Background:
- Previous studies suggest humans can interpret novel animal vocalizations and gestures from limited choices.
- The methodology used in prior research may influence observed comprehension levels.
Purpose of the Study:
- To investigate how different response formats and evaluation methods affect conclusions in signal comprehension studies.
- To determine the factors influencing human ability to understand novel vocalizations and ape gestures.
Main Methods:
- Replicated previous experiments using open-ended responses instead of multiple-choice.
- Applied exact matching, graded similarity ratings, and computational semantic similarity to evaluate vocalization data.
- Used graded similarity ratings for gesture data.
Main Results:
- Comprehension success varied significantly based on evaluation method: low for exact matching, moderate for similarity ratings, and high for computational measures.
- Signal properties (semantic category, transparency) were primary determinants of success, not individual participant differences.
- Participants could distinguish broad categories but struggled with specific concepts.
Conclusions:
- Open-ended response formats and diverse evaluation scales provide complementary insights into semantic understanding.
- Experimental design and evaluation methods are critical theoretical choices influencing the interpretation of signal comprehension.
- Findings challenge previous conclusions by highlighting the nuanced nature of interpreting novel signals.
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