University of California San Diego Department of Psychiatry, San Diego, California, USA.
Veterans Affairs San Diego Healthcare System, San Diego, California, USA.
Psychol Med. 2022 Oct;52(13):2531-2539. doi: 10.1017/S0033291720004419. Epub 2021 Jan 12.
Cognitive tasks delivered during ecological momentary assessment (EMA) may elucidate the short-term dynamics and contextual influences on cognition and judgements of performance. This paper provides initial validation of a smartphone task of facial emotion recognition in serious mental illness.
A total of 86 participants with psychotic disorders (non-affective and affective psychosis), aged 19-65, were administered in-lab 'gold standard' affect recognition, neurocognition, and symptom assessments. They subsequently completed 10 days of the mobile facial emotion recognition task, assessing both accuracy and self-assessed performance, along with concurrent EMA of psychotic symptoms and mood. Validation focused on task adherence and predictors of adherence, gold standard convergent validity, and symptom and diagnostic group variation.
The mean rate of adherence to the task was 79%; no demographic or clinical variables predicted adherence. Convergent validity was observed with in-lab measures of facial emotion recognition, and no practice effects were observed on the mobile facial emotion recognition task. EMA reports of more severe voices, sadness, and paranoia were associated with worse performance, whereas mood more strongly associated with self-assessed performance.
The mobile facial emotion recognition task was tolerated and demonstrated convergent validity with in-lab measures of the same construct. Social cognitive performance, and biased judgements previously shown to predict function, can be evaluated in real-time in naturalistic environments.
在生态瞬时评估（EMA）期间进行的认知任务可以阐明认知和表现判断的短期动态和环境影响。本文初步验证了智能手机在严重精神疾病中的面部情绪识别任务。
共有 86 名年龄在 19-65 岁的精神分裂症患者（非情感和情感性精神病）接受了实验室“黄金标准”的情感识别、神经认知和症状评估。随后，他们完成了 10 天的移动面部情绪识别任务，评估准确性和自我评估的表现，同时进行精神症状和情绪的 EMA。验证侧重于任务的依从性和依从性的预测因素、黄金标准的收敛有效性以及症状和诊断组的变化。
任务的平均依从率为 79%；没有人口统计学或临床变量可以预测依从性。与实验室面部情绪识别测量结果观察到收敛有效性，并且在移动面部情绪识别任务上没有观察到练习效果。EMA 报告的更严重的声音、悲伤和偏执与较差的表现相关，而情绪与自我评估的表现更密切相关。
移动面部情绪识别任务可以耐受，并且与相同结构的实验室测量结果具有收敛有效性。先前显示可预测功能的社会认知表现和有偏差的判断，可以在自然环境中实时进行评估。
