PAPER / ARXIV:2609.07038
Zhaojie Luo (1 and 2), Junkun Wang (1), Tianhua Qi (1), Yuxuan Wu (1), Xin Zhao (1), Tetsuya Takiguchi (3), Tomoko Matsui (2), Kun Qian (4), Fei Wang (5), Shuqiong Wu (6), Zhengjun Yue (2), Hiroshi Ishiguro (6), Xinyuan Qian (7), Haizhou Li (8 and 2) ((1) Southeast University, (2) Shenzhen Loop Area Institute, (3) Kobe University, (4) Beijing Institute of Technology, (5) Nanjing Medical University, (6) The University of Osaka, (7) University of Science and Technology Beijing, (8) The Chinese University of Hong Kong (Shenzhen))
RESUMO
Adolescent depression, anxiety, and stress (D/A/S) call for scalable tools that complement, rather than replace, professional evaluation. Under a privacy-preserving policy, the AdoDAS Grand Challenge withholds minors' raw recordings and distributes anonymized audio-visual representations and ASR-derived text. Its 6,000 participants provide 24,000 segments across one scripted-reading and three open-response sessions. Two tracks assess multi-task binary D/A/S screening and ordinal prediction of 21 DASS-21 item responses. From 191 registrations, the final leaderboards included 95 eligible screening teams and 64 item-prediction teams. Audio-visual baselines achieved 0.4604 mean F1 and 0.2675 mean Quadratic Weighted Kappa; leading submissions reached 0.5921 and 0.2776. Representative systems emphasize cross-session modelling, temporal multimodal fusion, psychometric structure, and task-aware calibration.
NO MESMO MAPA