发表机构
Rzeszow University of Technology; VIZJA University(热舒夫工业大学; VIZJA大学)
机构由 AI 辅助整理,请以论文原文为准。AI 中文总结
针对神经发育评估中的多模态情感计算,提出神经多样性感知架构,强调情境敏感决策支持,而非仅依赖常模分类,并定义可审计的决策要求。
AI 中文摘要
自动化神经发育评估日益结合计算机视觉、语音、眼动追踪、生理信号和机器学习,然而多模态性和判别能力并不能确立构念效度、临床实用性或对行为变异的恰当解释。我们提出了一种可测试的神经多样性感知多模态情感计算架构,在该架构中,群体相对偏差不被视为不良功能的充分证据。这篇概念性文章既未报告新的参与者水平研究,也未报告训练好的预测系统,且不声称任何预测或临床优越性。该框架在推理过程中始终区分可观察信号、模态质量和可用性、情境、群体相对信息、合并的个体内参考,以及在证据充分时基于情境条件的个体内参考,以及预测不确定性。它定义了结构化的决策支持输出和可审计的要求,涵盖目标效度、时间完整性、情境泄漏、缺失模态鲁棒性、校准、亚组评估、可解释性、隐私和人类决策边界。其贡献是架构性的而非算法性的:它规定了可经验测试的约束条件,这些约束可以用不同的多模态学习方法实例化。自闭症提供了主要的动机证据基础,但不假设其可不变地迁移到其他神经发育状况。
英文摘要
Automated neurodevelopmental assessment increasingly combines computer vision, speech, eye tracking, physiology, and machine learning, yet multimodality and discrimination do not establish construct validity, clinical usefulness, or appropriate interpretation of behavioral variation. We propose a testable architecture for neurodiversity-aware multimodal affective computing in which population-relative deviation is not treated as sufficient evidence of adverse functioning. This conceptual article reports neither a new participant-level study nor a trained predictive system, and no predictive or clinical superiority is claimed. The framework keeps observable signals, modality quality and availability, context, population-relative information, pooled within-person references and, when sufficiently supported, context-conditioned within person references, and predictive uncertainty distinguishable throughout inference. It defines structured decision-support outputs and auditable requirements for target validity, temporal integrity, contextual leakage, missing-modality robustness, calibration, subgroup evaluation, interpretability, privacy, and human decision boundaries. The contribution is architectural rather than algorithmic: it specifies empirically testable constraints that can be instantiated with different multimodal learning methods. Autism provides the principal motivating evidence base, without assuming unchanged transfer to other neurodevelopmental conditions.