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揭示人工智能生成图像在丰富心理健康研究方面的变革潜力。

Unveiling the Transformative Potential of AI-Generated Imagery in Enriching Mental Health Research.

作者信息

Milasan Lucian Hadrian

机构信息

Institute of Health and Allied Professions, Nottingham Trent University, Nottingham, UK.

出版信息

Qual Health Res. 2024 Sep 19:10497323241274767. doi: 10.1177/10497323241274767.

Abstract

Visual methods in mental health research have been extensively explored and utilized following the expanse of art-therapy. The existing literature shows visual arts as a valuable research method with multi-fold benefits for both researchers and research participants. However, the way contemporary art is understood, conceptualized, and experienced has been challenged by the current digital advancements in our society. Despite heated debates whether AI may diminish the value of human creativity, AI-generated art is a complex reality that started to influence the way visual research is conducted. Within this context, researchers employing visual methods need to develop a deeper understanding of this topic. For this purpose, this article explores the concept of AI-generated images with a focus on benefits and limitations when applied to mental health research and potentially other areas of health and social care. As this is an emerging topic, more research on the effectiveness and therapeutic value of AI-generated images is required beyond the current anecdotical evidence, from the perspective of the researchers and research participants.

摘要

随着艺术疗法的广泛应用,心理健康研究中的视觉方法得到了广泛探索和运用。现有文献表明,视觉艺术是一种对研究人员和研究参与者都有多重益处的宝贵研究方法。然而,当代艺术的理解、概念化和体验方式受到了当今社会数字进步的挑战。尽管关于人工智能是否会削弱人类创造力的价值存在激烈争论,但人工智能生成的艺术是一个复杂的现实,已开始影响视觉研究的开展方式。在此背景下,采用视觉方法的研究人员需要对这一主题有更深入的理解。为此,本文探讨了人工智能生成图像的概念,重点关注其应用于心理健康研究以及可能的其他健康和社会护理领域时的益处和局限性。由于这是一个新兴主题,除了目前的轶事证据外,还需要从研究人员和研究参与者的角度,对人工智能生成图像的有效性和治疗价值进行更多研究。

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