Front Is High and Back Is Low: Sound-Space Iconicity in Finnish.
Lari Vainio, Markku Kilpeläinen, Alexandra Wikström and 1 others
PMID 38054421WHAT IT FOUND
Finnish speakers consistently matched high-pitched sounds to forward movement and low-pitched sounds to backward movement.
They also produced these pitch-vowel pairings faster when the mapping aligned with spatial direction. The effect held for static front/back concepts, not just motion.
Key findings
01Participants selected animations where high pitch matched forward movement and low pitch matched backward movement significantly more often than chance.
02When producing vowel sounds, reaction times were faster in congruent conditions (high pitch for forward, low pitch for backward) compared to incongruent conditions.
03The association between pitch and spatial concepts extended beyond swinging motion to static front and back positions relative to an object.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The study was conducted exclusively with native Finnish speakers, so the results may be language-specific and not generalizable to other cultures or languages. The sample sizes were small (20-22 participants per experiment), limiting the statistical power and generalizability of the findings. Experiment 1 confounded pitch with vowel quality (/ki:/ vs /kɑ:/), though Experiments 2 and 3 controlled for this by using a single vowel [æ] with varied pitch. The acoustic analysis of F1 had a high rate of outlier removal (37.4% in Exp 2, 40.5% in Exp 3), requiring cautious interpretation of those specific results.
Declared interests
The research was funded by the Academy of Finland under grant agreement number 342627. The authors disclosed no other conflicts of interest.
The easy way to misread this
Do not assume this sound-space association is universal. The study used only Finnish speakers, and the authors note that Finnish words for forward/front contain front vowels and words for backward/back contain back vowels, which may create a language-specific bias not present in other languages.