解码情绪：自我报告抑郁个体的言语感知模式
Decoding Emotion: Speech Perception Patterns in Individuals with Self-reported Depression
AI总结：
该研究通过PANAS和PHQ-9量表及效价-唤醒度评估，考察印度人群中自我报告抑郁与情感言语感知的关系，发现除中性刺激外两组无显著差异，且抑郁组未表现出积极情绪反应性降低。
摘要：
本研究考察了印度人群中自我报告的抑郁与情感言语感知之间的关系。研究分别使用PANAS和PHQ-9评估当前情绪和抑郁程度。参与者在效价和唤醒度量表上记录其对按顺序呈现的情感言语音频的情绪反应。除描绘中性情绪的音频文件外，抑郁组与无抑郁组在任何情绪刺激上均未观察到显著差异。抑郁组的PANAS得分显著高于无抑郁组，表明预先存在的情绪倾向对当前情绪状态存在影响。与既往研究结果相反，本研究未观察到抑郁组对积极情绪的反应性降低。然而，结果表明，在情绪感知的所有测量指标上，被试对描绘悲伤和愤怒的言语刺激的情绪反应具有一致性。
英文摘要：
The current study examines the relationship between self-reported depression and the perception of affective speech within the Indian population. PANAS and PHQ-9 were used to assess current mood and depression, respectively. Participants' emotional reactivity was recorded on a valence and arousal scale against the affective speech audio presented in a sequence. No significant differences between the depression and no-depression groups were observed for any of the emotional stimuli, except the audio file depicting neutral emotion. Significantly higher PANAS scores by the depression than the no-depression group indicate the impact of pre-disposed mood on the current mood status. Contrary to previous findings, this study did not observe reduced positive emotional reactivity by the depression group. However, the results demonstrated consistency in emotional reactivity for speech stimuli depicting sadness and anger across all measures of emotion perception.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
