为想象未来的推荐系统构建物理道具

Peter Knees, Kristina Andersen
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引用次数: 4

摘要

我们建议在算法和系统功能的概念开发中使用物理对象和假设模型。这扩展了参与式设计等方法,超越了界面的设计过程,而是允许对未来算法功能的想象,并揭示了现有系统边界之外的系统需求。我们通过对创意领域用户(更具体地说,是音乐制作专家)的一系列访谈结果来证明这种方法。我们展示了三个由纸板制成的示范道具,这些道具体现了面试过程中出现的想法,以及这些想法如何反过来启发未来推荐系统、声音搜索引擎和声音操作界面的对话。
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Building Physical Props for Imagining Future Recommender Systems
We propose the use of physical objects and hypothetical mock-ups in the conceptual development of algorithms and system functionality. This extends approaches like participatory design beyond the design process of interfaces, but rather allows for imagination of future algorithm functionality and reveals desiderata of systems outside the boundaries of existing systems. We demonstrate this approach using the outcomes of a series of interviews with users in the creative domain, more specifically, music production experts. We show three exemplary props built from cardboard embodying ideas emerged from interview sessions and how these, in turn, inspire conversations on future recommender systems, sound search engines, and sound manipulation interfaces.
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Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces Session details: Exploiting Big Data Session details: Personality-Based Personalization Modeling Characteristics of Location from User Photos Session details: Research Methodology
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