Department of Psychology, The University of Warwick, Coventry, CV4 7AL, UK.
Cogn Res Princ Implic. 2024 Sep 2;9(1):59. doi: 10.1186/s41235-024-00576-4.
Computer Aided Detection (CAD) has been used to help readers find cancers in mammograms. Although these automated systems have been shown to help cancer detection when accurate, the presence of CAD also leads to an over-reliance effect where miss errors and false alarms increase when the CAD system fails. Previous research investigated CAD systems which overlayed salient exogenous cues onto the image to highlight suspicious areas. These salient cues capture attention which may exacerbate the over-reliance effect. Furthermore, overlaying CAD cues directly on the mammogram occludes sections of breast tissue which may disrupt global statistics useful for cancer detection. In this study we investigated whether an over-reliance effect occurred with a binary CAD system, which instead of overlaying a CAD cue onto the mammogram, reported a message alongside the mammogram indicating the possible presence of a cancer. We manipulated the certainty of the message and whether it was presented only to indicate the presence of a cancer, or whether a message was displayed on every mammogram to state whether a cancer was present or absent. The results showed that although an over-reliance effect still occurred with binary CAD systems miss errors were reduced when the CAD message was more definitive and only presented to alert readers of a possible cancer.
计算机辅助检测（CAD）已被用于帮助读者在乳房 X 光片中发现癌症。尽管这些自动化系统在准确的情况下已被证明有助于癌症检测，但 CAD 的存在也导致了过度依赖效应，即在 CAD 系统失效时，漏诊错误和假警报会增加。以前的研究调查了 CAD 系统，这些系统将显著的外在线索叠加在图像上，以突出可疑区域。这些显著的线索吸引了注意力，这可能会加剧过度依赖效应。此外，直接在乳房 X 光片上叠加 CAD 线索会遮挡乳房组织的部分区域，这可能会破坏对癌症检测有用的全局统计数据。在这项研究中，我们研究了当一个二进制 CAD 系统不将 CAD 线索叠加在乳房 X 光片上，而是在乳房 X 光片旁边报告一个消息，表明可能存在癌症时，是否会发生过度依赖效应。我们操纵了消息的确定性，以及消息是否仅用于提示存在癌症，或者是否在每张乳房 X 光片上显示消息以说明是否存在癌症。结果表明，尽管二进制 CAD 系统仍存在过度依赖效应，但当 CAD 消息更明确且仅用于提醒读者可能存在癌症时，漏诊错误会减少。
