Wincza Radoslaw, Hartley Calum, Donovan Tim, Linkenauger Sally, Crawford Trevor, Griffiths Debra, Doherty Martin
Lancaster University, Lancaster, UK.
University of Central Lancashire, Preston, UK.
Sci Rep. 2025 Mar 13;15(1):5948. doi: 10.1038/s41598-025-88178-y.
Extensive exposure to specific kinds of imagery tunes visual perception, enhancing recognition and interpretation abilities relevant to those stimuli (e.g. radiologists can rapidly extract important information from medical scans). For the first time, we tested whether specific visual expertise induced by professional training also affords domain-general perceptual advantages. Experts in medical image interpretation (n = 44; reporting radiographers, trainee radiologists, and certified radiologists) and a control group consisting of psychology and medical students (n = 107) responded to the Ebbinghaus, Ponzo, Müller-Lyer, and Shepard Tabletops visual illusions in forced-choice tasks. Our results show that medical image experts were significantly less susceptible to all illusions except for the Shepard Tabletops, demonstrating superior perceptual accuracy. These findings could possibly be attributed to a stronger local processing bias, a by-product of learning to focus on specific areas of interest by disregarding irrelevant context in their domain of expertise.
广泛接触特定类型的图像会调整视觉感知,增强与这些刺激相关的识别和解释能力(例如,放射科医生可以从医学扫描中快速提取重要信息)。我们首次测试了专业训练所诱导的特定视觉专长是否也能带来跨领域的感知优势。医学图像解读专家(n = 44;包括放射技师、实习放射科医生和认证放射科医生)以及由心理学和医学专业学生组成的对照组(n = 107)在强制选择任务中对埃宾浩斯错觉、庞佐错觉、缪勒-莱尔错觉和谢泼德桌面错觉做出反应。我们的结果表明,除了谢泼德桌面错觉外,医学图像专家对所有错觉的敏感度都显著更低,这表明他们具有更高的感知准确性。这些发现可能归因于更强的局部加工偏向,这是他们在专业领域学习专注于特定感兴趣区域而忽略无关背景时产生的副产品。