Elyoseph Zohar, Hadar-Shoval Dorit, Asraf Kfir, Lvovsky Maya
Department of Psychology and Educational Counseling, The Center for Psychobiological Research, Max Stern Yezreel Valley College, Emek Yezreel, Israel.
Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, England.
Front Psychol. 2023 May 26;14:1199058. doi: 10.3389/fpsyg.2023.1199058. eCollection 2023.
The artificial intelligence chatbot, ChatGPT, has gained widespread attention for its ability to perform natural language processing tasks and has the fastest-growing user base in history. Although ChatGPT has successfully generated theoretical information in multiple fields, its ability to identify and describe emotions is still unknown. Emotional awareness (EA), the ability to conceptualize one's own and others' emotions, is considered a transdiagnostic mechanism for psychopathology. This study utilized the Levels of Emotional Awareness Scale (LEAS) as an objective, performance-based test to analyze ChatGPT's responses to twenty scenarios and compared its EA performance with that of the general population norms, as reported by a previous study. A second examination was performed one month later to measure EA improvement over time. Finally, two independent licensed psychologists evaluated the fit-to-context of ChatGPT's EA responses. In the first examination, ChatGPT demonstrated significantly higher performance than the general population on all the LEAS scales ( score = 2.84). In the second examination, ChatGPT's performance significantly improved, almost reaching the maximum possible LEAS score ( score = 4.26). Its accuracy levels were also extremely high (9.7/10). The study demonstrated that ChatGPT can generate appropriate EA responses, and that its performance may improve significantly over time. The study has theoretical and clinical implications, as ChatGPT can be used as part of cognitive training for clinical populations with EA impairments. In addition, ChatGPT's EA-like abilities may facilitate psychiatric diagnosis and assessment and be used to enhance emotional language. Further research is warranted to better understand the potential benefits and risks of ChatGPT and refine it to promote mental health.
人工智能聊天机器人ChatGPT因其执行自然语言处理任务的能力而受到广泛关注,并且拥有史上增长最快的用户群体。尽管ChatGPT已成功在多个领域生成理论信息,但其识别和描述情绪的能力仍不为人知。情绪觉察(EA),即将自身和他人情绪概念化的能力,被认为是精神病理学的一种跨诊断机制。本研究使用情绪觉察水平量表(LEAS)作为一种基于表现的客观测试,来分析ChatGPT对20个情景的回应,并将其EA表现与先前一项研究所报告的一般人群规范进行比较。一个月后进行了第二次测试,以衡量EA随时间的改善情况。最后,两名独立的持牌心理学家评估了ChatGPT的EA回应与情境的契合度。在第一次测试中,ChatGPT在所有LEAS量表上的表现均显著高于一般人群(得分 = 2.84)。在第二次测试中,ChatGPT的表现显著提高,几乎达到了LEAS的最高可能得分(得分 = 4.26)。其准确率也极高(9.7/10)。该研究表明,ChatGPT能够生成恰当的EA回应,并且其表现可能会随着时间显著改善。该研究具有理论和临床意义,因为ChatGPT可用作针对有EA损伤的临床人群进行认知训练的一部分。此外,ChatGPT类似EA的能力可能有助于精神科诊断和评估,并用于增强情绪语言。有必要进行进一步研究,以更好地理解ChatGPT的潜在益处和风险,并对其进行优化以促进心理健康。