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PsycheMME: A Psychology-Informed Benchmark for Social Understanding and Interaction in Videos

Heran Hu, Yuhang Dong, Zhucun Xue, Kaiwei Chen, Yong Liu, Jiangning Zhang · 2026 · arXiv

DOI: 10.48550/arXiv.2610.28625 · open-access PDF

Japanese

人間のニーズを理解し、応答を選択するには、合計精度が曖昧にすることができる異なる判断が必要です。我々は、土台、状態、ニーズ、相互作用の決定、記憶、リスクをカバーする8つの能力を持つ心理学によって知られるビデオベンチマークであるPsycheMMEを導入します。ソーシャル情報処理と知覚行動サイクルに基づいて、この組織は人間の理解を応答選択から分離します。我々は、提案された参照と専門家のレビューで独立した回答を通じて630エピソードから1000の質問を構築します。

Machine translation (Meta M2M100); the English original follows.

Abstract

Understanding human needs and selecting responses require distinct judgments that aggregate accuracy can obscure. We introduce PsycheMME, a video benchmark informed by psychology, with eight capabilities spanning grounding, states, needs, interaction decisions, memory, and risk. Drawing on Social Information Processing and the Perception-Action Cycle, this organization separates human understanding from response selection. We construct 1,000 questions from 630 episodes through independent answering with proposed references withheld and expert review. Our Reasoning-Verified protocol weights ans

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