摘要

抑郁是一种最常见的精神心理问题，目前识别抑郁的

方法主要以主观自评量表为主，缺乏客观评估指标。随着眼动追踪和人工智能技术的发展，基于客观特征的抑郁智能识别成为解决问题的可能。本文系统综述了国内外基于眼动追踪技术识别抑郁状态的研究现状，人工智能技术应用于抑郁识别的最新研究进展，并讨论了存在的局限性与未来展望。

关键词：眼动；抑郁状态；抑郁识别

ABSTRACT

Depression is one of the most predominant mental health issues worldwide. Current approaches predominantly depend on self-reported questionnaires and subjective evaluations. Eye-tracking has been proposed as a promising technology for the detection of depression. This review synthesizes recent research advancements in the application of eye-tracking technology for depression identification, the integration of machine learning and deep learning methodologies in this field, the existing limitations, and prospective directions for the development of artificial intelligence-assisted depression detection research.

Key words: Eye movement; Depression; Artificial intelligence