论文标题
预测准确性和自主权
Prediction Accuracy and Autonomy
论文作者
论文摘要
技术行业因设计破坏个人自主权的应用而受到批评。特别是推荐系统已被确定为可能对人民生活产生不必要的控制的罪魁祸首。在本文中，我们试图评估推荐系统研究的目标，并就这些目标如何与用户的目标保持一致。该讨论采用了定性文献调查，该调查将心理学，设计伦理，互动设计和推荐系统领域的相关研究之间的点连接起来。最后，我们专注于YouTube推荐系统的特定用例，并提出设计更改，以更好地与个人的自主权保持一致。基于我们的分析，我们为未来的研究提供了指导，这将有助于确保注意力经济中的数字自主权。
The tech industry has been criticised for designing applications that undermine individuals' autonomy. Recommender systems, in particular, have been identified as a suspected culprit that might exercise unwanted control over peoples' lives. In this article we try to assess the objectives of recommender system research and offer a nuanced discussion of how these objectives can align with users' goals. This discussion employs a qualitative literature survey connecting the dots between relevant research within the fields of psychology, design ethics, interaction design and recommender systems. Finally, we focus on the specific use-case of YouTube's recommender system and propose design changes that will better align with individuals' autonomy. Based on our analysis we offer directions for future research that will help secure rights to digital autonomy in the attention economy.
