The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
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DOI：
10.1145/3397271.3401117
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发表时间：
2020-07
期刊：
影响因子：
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通讯作者：
Tobias Schnabel;Saleema Amershi;Paul N. Bennett;P. Bailey;T. Joachims
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文献类型：
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作者：
Tobias Schnabel;Saleema Amershi;Paul N. Bennett;P. Bailey;T. Joachims
许多交互式在线系统，例如社交媒体平台或新闻网站，通过基于人们对个别项目(例如，喜欢项目)的反馈和参与的推荐或新闻馈送定制来提供个性化体验。在这篇文章中，我们调查了如何通过改变系统允许人们衡量其反馈行为的结果的方式，来支持在这样的系统中更大程度的用户控制。为此，我们考虑了系统如何响应反馈操作的两个重要方面：(I)即时性，即系统响应更新的速度有多快；以及(Ii)可见性，即是否突出显示更改。我们使用了实验室内的定性研究和大规模的众包研究来检验这些因素对人们报告的偏好和观察到的行为指标的影响。我们展示了使人们能够预览其行为的影响并突出显示变化的用户体验设计，其结果是更高的报告透明度、对该设计的总体偏好以及对项目的更大选择性。
Many interactive online systems, such as social media platforms or news sites, provide personalized experiences through recommendations or news feed customization based on people's feedback and engagement on individual items (e.g., liking items). In this paper, we investigate how we can support a greater degree of user control in such systems by changing the way the system allows people to gauge the consequences of their feedback actions. To this end, we consider two important aspects of how the system responds to feedback actions: (i) immediacy, i.e., how quickly the system responds with an update, and (ii) visibility, i.e., whether or not changes will get highlighted. We used both an in-lab qualitative study and a large-scale crowd-sourced study to examine the impact of these factors on people's reported preferences and observed behavioral metrics. We demonstrate that UX design which enables people to preview the impact of their actions and highlights changes results in a higher reported transparency, an overall preference for this design, and a greater selectivity in which items are liked.