针对不同年龄群体的抑郁检测，融合人格特质与多模态数据。
The First MPDD Challenge: Multimodal Personality-aware Depression Detection
- 引入人格特质信息，结合音视频数据进行跨年龄抑郁检测。
- 使用老年与青年专属数据集，分别评估模型在两组人群的表现。
- 推动个性化抑郁检测，适合心理健康与人机交互研究者。
抑郁症是影响各年龄段的普遍心理问题，尤其在大学生和老年人中更为显著。然而，现有数据集和检测方法主要集中于年轻人，忽视了更广泛年龄层及个体差异对抑郁表现的影响。当前方法通常直接建立多模态数据与抑郁指标之间的映射，未能捕捉个体间抑郁表现的复杂性和多样性。本挑战赛基于年龄特异性子集设立两条赛道：Track 1 使用 MPDD-Elderly 数据集检测老年人群的抑郁状态，Track 2 使用 MPDD-Young 数据集检测年轻参与者。多模态人格感知抑郁检测（MPDD）挑战赛旨在通过融合多模态数据与个体差异因素，弥补这一空白。我们提供一个基线模型，将音频与视频模态与个体差异信息融合，以识别多样化人群中的抑郁表现。该挑战旨在推动更个性化、精准的抑郁检测方法发展，促进心理健康研究并构建更具包容性的检测系统。更多信息见官方挑战网站：https://hacilab.github.io/MPDDChallenge.github.io。
原文摘要 · Abstract (English)
Depression is a widespread mental health issue affecting diverse age groups, with notable prevalence among college students and the elderly. However, existing datasets and detection methods primarily focus on young adults, neglecting the broader age spectrum and individual differences that influence depression manifestation. Current approaches often establish a direct mapping between multimodal data and depression indicators, failing to capture the complexity and diversity of depression across individuals. This challenge includes two tracks based on age-specific subsets: Track 1 uses the MPDD-Elderly dataset for detecting depression in older adults, and Track 2 uses the MPDD-Young dataset for detecting depression in younger participants. The Multimodal Personality-aware Depression Detection (MPDD) Challenge aims to address this gap by incorporating multimodal data alongside individual difference factors. We provide a baseline model that fuses audio and video modalities with individual difference information to detect depression manifestations in diverse populations. This challenge aims to promote the development of more personalized and accurate de pression detection methods, advancing mental health research and fostering inclusive detection systems. More details are available on the official challenge website: https://hacilab.github.io/MPDDChallenge.github.io.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。