What question did this study set out to answer?

The aim is to compare GPT-5 mini's performance on emotion recognition tasks against that of human participants and to explore collective intelligence effects.

March 26, 2026Scientific ReportsOpen Access

Collective and augmented intelligence outperform artificial intelligence on emotion recognition tests

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Authors

MAMustafa AkbenElon University VGVinayaka Gude HAHaya AjjanElon University

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Implication

Evaluates AI's performance in emotion recognition, finding collective human intelligence exceeds AI, suggesting synergy between human and machine intelligence.

Key Points

The aim is to compare GPT-5 mini's performance on emotion recognition tasks against that of human participants and to explore collective intelligence effects.
Compared GPT-5 mini with human responses on the RMET and MRMET tasks.
Aggregated independent human responses using bootstrap-resampled plurality voting.
Investigated the performance of combined human and AI responses.
GPT-5 mini outperforms individual human participants on both RMET and MRMET.
When aggregated, human responses significantly surpass those of GPT-5 mini.
An augmented intelligence approach combining human and AI responses outperformed both independently.

Cite This Study

Akben et al. (2026) studied this question.

synapsesocial.com/papers/69c4ccaffdc3bde44891826a https://doi.org/10.1038/s41598-026-45331-5

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Implication

Evaluates AI's performance in emotion recognition, finding collective human intelligence exceeds AI, suggesting synergy between human and machine intelligence.

Collective and augmented intelligence outperform artificial intelligence on emotion recognition tests

Discussion

Member takes

Implication

Key Points

Cite This Study

Collective and augmented intelligence outperform artificial intelligence on emotion recognition tests

Discussion

Member takes

Implication

Key Points

Cite This Study

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