Exposure to disturbing imagery can significantly impact individuals, especially professionals who encounter such content as part of their work. This paper presents a user study, involving 107 participants, predominantly journalists and human rights investigators, that explores the capability of Artificial Intelligence (AI)-based image filters to potentially mitigate the emotional impact of viewing such disturbing content. We tested five different filter styles, both traditional (Blurring and Partial Blurring) and AI-based (Drawing, Colored Drawing, and Painting), and measured their effectiveness in terms of conveying image information while reducing emotional distress. Our findings suggest that the AI-based Drawing style filter demonstrates the best performance, offering a promising solution for reducing negative feelings (-30.38%) while preserving the interpretability of the image (97.19%). Despite the requirement for many professionals to eventually inspect the original images, participants suggested potential strategies for integrating AI filters into their workflow, such as using AI filters as an initial, preparatory step before viewing the original image. Overall, this paper contributes to the development of a more ethically considerate and effective visual environment for professionals routinely engaging with potentially disturbing imagery.

通过一项用户研究，本文探讨了基于人工智能图像滤镜的能力，以减轻视觉专业人士在处理令人不安的内容时所受的情绪影响。研究发现，基于绘制风格的人工智能滤镜具有最佳效果，在减少负面情绪 (-30.38%) 的同时，保持了图像的可解释性 (97.19%)。尽管许多专业人士最终需要查看原始图像，但参与者提出了将人工智能滤镜融入工作流程的潜在策略，如在查看原始图像之前使用人工智能滤镜作为初步的准备步骤。总体而言，本文为专业人士日常处理可能令人不安的图像提供了更加符合道德考量和有效的视觉环境的发展。

利用人工智能滤镜减轻观众对令人不安图像的影响：一项用户研究