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

Paper recorded by Signals 4 on 2026-10-20 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.CV · 计算机视觉 · first seen 2026-10-21

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 understandin

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#208 most recent of 756 cs.CV papers we have recorded · ↑ newer: SolarRenderer: Few-Step Generative Reference Rendering · ↓ older: KoalaGS: Complexity-Aware Continuous Level of Detail for Gaussian Spla
Cite this page: PsycheMME: A Psychology-Informed Benchmark for Social Understanding and Interaction in Videos: the #208 most recent of 756 cs.CV papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/psychemme-a-psychology-informed-benchmark-for-social-understanding-and-interacti.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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