Can Privacy Be Satisfying?: On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms

Can Privacy Be Satisfying?: On Improving Viewer Satisfaction for Privacy-Enhanced Photos Using Aesthetic Transforms
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隐私可以令人满意吗?:关于使用美学变换提高隐私增强照片的观看者满意度

DOI:
10.1145/3290605.3300597
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发表时间:
2019
期刊:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
Apu Kapadia
Apu Kapadia
中科院分区:
--
文献类型:
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作者:
Rakibul Hasan;Yifang Li;Eman T. Hassan;Kelly E. Caine;David J. Crandall;Roberto Hoyle;Apu Kapadia

文献摘要

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在线社交媒体平台中普遍存在的照片共享可能会在图像元素泄露敏感信息时导致意外的隐私侵犯。先前的研究已经确定了图像模糊方法(例如,模糊)来增强隐私,但是这些方法中的许多不利地影响观看者对照片的满意度,这可能导致人们避免使用它们。在本文中,我们研究了新的假设,它可能会恢复观众的满意度,通过“提升”或增强美学的模糊图像,从而弥补隐私转换的负面影响。使用受试者之间的在线实验,我们研究了三种艺术变换对图像的影响,这些图像使用三种流行的模糊方法来模糊物体,这些方法已经过先前的研究验证。我们的研究结果表明,使用艺术转换可以减轻混淆方法的一些负面影响,但需要更多的探索,以保持观众的满意度。
Pervasive photo sharing in online social media platforms can cause unintended privacy violations when elements of an image reveal sensitive information. Prior studies have identified image obfuscation methods (e.g., blurring) to enhance privacy, but many of these methods adversely affect viewers' satisfaction with the photo, which may cause people to avoid using them. In this paper, we study the novel hypothesis that it may be possible to restore viewers' satisfaction by 'boosting' or enhancing the aesthetics of an obscured image, thereby compensating for the negative effects of a privacy transform. Using a between-subjects online experiment, we studied the effects of three artistic transformations on images that had objects obscured using three popular obfuscation methods validated by prior research. Our findings suggest that using artistic transformations can mitigate some negative effects of obfuscation methods, but more exploration is needed to retain viewer satisfaction.