AI 中文总结
本文提出AVI-Personality数据集，包含646名参与者的3876段异步视频面试，经多维度验证，可用于开发评估人格与能力的AI模型，多模态方法性能最优。
AI 中文摘要
随着基于AI的人格及与工作相关能力评估技术的快速发展，异步视频面试（Asynchronous Video Interviews, AVIs）正越来越多地被应用于招聘场景。然而，现有的多模态人格数据集通常基于短时长、无任务的社交媒体视频以及众包的表观人格标签，这限制了其构念效度以及与结构化面试评估的相关性。为解决这些局限，本文提出AVI-Personality，一个用于从AVIs中评估人格及与工作相关能力的特质激活多模态数据集。该数据集包含646名参与者的3876段面试视频，这些参与者完成了模拟管理实习生申请流程，回答了2个通用问题以及4个依据特质激活理论设计的人格针对性问题。本数据集同时提供自我报告与观察者报告的HEXACO人格特质及与工作相关的能力。我们通过信度、构念效度、内部法则关联、公平性及基准分析对AVI-Personality进行验证。验证结果显示，观察者评定的人格特质具有中等到高的信度，尤其是当评定基于人格针对性问题时。基准结果表明，基于文本的AI算法提供了与人格高度相关的线索，而多模态方法取得了最佳整体性能，但仅小幅优于基于文本的基线方法。总体而言，AVI-Personality为开发和评估基于AI的人格与能力评估模型提供了具有心理测量学基础的数据集，该数据集已在指定网址发布。
英文摘要
With the rapid development of AI-based personality and job-related competency assessment, Asynchronous Video Interviews (AVIs) are increasingly used in recruitment. However, existing multimodal personality datasets are often based on short, task-free social media videos and crowdsourced apparent personality labels, which limits their construct validity and relevance to structured interview assessment. To address these limitations, we introduce AVI-Personality, a trait-activated multimodal dataset for personality and job-related competency assessment from AVIs. The dataset contains 3,876 interview videos from 646 participants who completed a simulated management traineeship application. Participants answered two generic questions and four personality-targeted questions designed according to Trait Activation Theory. Our dataset provides both self and observer-reported HEXACO personality traits and job-related competency. We validate AVI-Personality through reliability, construct validity, internal nomological association, fairness, and benchmark analyses. Validation results show that the observer-rated personality traits have moderate to high reliability, especially when ratings are based on personality-targeted questions. Benchmark results show that text-based AI algorithms provide strong personality-relevant cues, while multimodal methods achieve the best overall performance but only modestly outperform text-based baselines. In general, AVI-Personality provides a psychometrically grounded dataset for developing and evaluating AI-based models for personality and competency assessment. The dataset is available are released at https://github.com/APAL-SEU/AVI6
