@inproceedings{park-2026-grue,
title = "The Grue Divide: When Cognitive Accuracy Doesn{'}t Predict Affective Alignment",
author = "Park, Kai",
editor = "Xu, Shanshan and
T.Y.S.S., Santosh and
Kurniawan, Kemal and
Peng, Siyao and
Wallbridge, Sarenne and
Koto, Fajri and
Dziri, Nouha and
Plank, Barbara",
booktitle = "Proceedings of the First Workshop on Pluralistic {AI} {NLP}: Diversity-aware, Sociotechnical, Responsible Alignment ({PANDORA} 2026)",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.pandora-1.2/",
pages = "35--68",
ISBN = "979-8-89176-484-2",
abstract = "This study presents a large-scale, exploratory investigation (9,534 trials from 1,159 participants) of color perception, cognition, and emotion in the Korean ``Grue'' spectrum, finding results consistent with a cognitive advantage for Korean speakers over English-speaking cohorts, particularly in Grue transitions. One illustrative case{---}the ``Australia Divergence''{---}shows comparable cognitive accuracy between Korean and Australian cohorts in a preliminary, small-sample comparison (132 trials) that nonetheless appears to diverge affectively under the Sentiment-Formality-Friendliness (SFF) framework, consistent with a cognitive-affective decoupling in which perceptual precision may be shared across cultures while affective mapping remains culturally distinct. As a correlational, hypothesis-generating study, we offer these findings as a basis for future confirmatory research rather than as definitive claims, positioning SFF as a promising exploratory tool for capturing culturally mediated ``emotional fingerprints'' that traditional cognitive metrics may miss, though further validation against human ratings remains needed."
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%0 Conference Proceedings
%T The Grue Divide: When Cognitive Accuracy Doesn’t Predict Affective Alignment
%A Park, Kai
%Y Xu, Shanshan
%Y T.Y.S.S., Santosh
%Y Kurniawan, Kemal
%Y Peng, Siyao
%Y Wallbridge, Sarenne
%Y Koto, Fajri
%Y Dziri, Nouha
%Y Plank, Barbara
%S Proceedings of the First Workshop on Pluralistic AI NLP: Diversity-aware, Sociotechnical, Responsible Alignment (PANDORA 2026)
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-484-2
%F park-2026-grue
%X This study presents a large-scale, exploratory investigation (9,534 trials from 1,159 participants) of color perception, cognition, and emotion in the Korean “Grue” spectrum, finding results consistent with a cognitive advantage for Korean speakers over English-speaking cohorts, particularly in Grue transitions. One illustrative case—the “Australia Divergence”—shows comparable cognitive accuracy between Korean and Australian cohorts in a preliminary, small-sample comparison (132 trials) that nonetheless appears to diverge affectively under the Sentiment-Formality-Friendliness (SFF) framework, consistent with a cognitive-affective decoupling in which perceptual precision may be shared across cultures while affective mapping remains culturally distinct. As a correlational, hypothesis-generating study, we offer these findings as a basis for future confirmatory research rather than as definitive claims, positioning SFF as a promising exploratory tool for capturing culturally mediated “emotional fingerprints” that traditional cognitive metrics may miss, though further validation against human ratings remains needed.
%U https://aclanthology.org/2026.pandora-1.2/
%P 35-68
Markdown (Informal)
[The Grue Divide: When Cognitive Accuracy Doesn’t Predict Affective Alignment](https://aclanthology.org/2026.pandora-1.2/) (Park, PANDORA 2026)
ACL