University of Munich.
IEEE Trans Vis Comput Graph. 2010 Nov-Dec;16(6):1119-28. doi: 10.1109/TVCG.2010.206.
The choices we take when listening to music are expressions of our personal taste and character. Storing and accessing our listening histories is trivial due to services like Last.fm, but learning from them and understanding them is not. Existing solutions operate at a very abstract level and only produce statistics. By applying techniques from information visualization to this problem, we were able to provide average people with a detailed and powerful tool for accessing their own musical past. LastHistory is an interactive visualization for displaying music listening histories, along with contextual information from personal photos and calendar entries. Its two main user tasks are (1) analysis, with an emphasis on temporal patterns and hypotheses related to musical genre and sequences, and (2) reminiscing, where listening histories and context represent part of one's past. In this design study paper we give an overview of the field of music listening histories and explain their unique characteristics as a type of personal data. We then describe the design rationale, data and view transformations of LastHistory and present the results from both a lab- and a large-scale online study. We also put listening histories in contrast to other lifelogging data. The resonant and enthusiastic feedback that we received from average users shows a need for making their personal data accessible. We hope to stimulate such developments through this research.
我们在听音乐时所做的选择是个人品味和性格的体现。由于 Last.fm 等服务的存在,存储和访问我们的听歌历史变得轻而易举,但从中学习和理解它们却并非易事。现有的解决方案仅在非常抽象的层面上运作,只能生成统计数据。通过将信息可视化技术应用于该问题,我们能够为普通用户提供一个详细而强大的工具,以访问他们自己的音乐过往。LastHistory 是一种用于显示音乐听歌历史的交互式可视化工具,同时还提供个人照片和日历条目的相关上下文信息。它的两个主要用户任务是(1)分析,重点关注与音乐流派和序列相关的时间模式和假设,以及(2)回忆,其中听歌历史和上下文代表一个人过去的一部分。在本设计研究论文中,我们概述了音乐听歌历史领域,并解释了它们作为一种个人数据的独特特征。然后,我们描述了 LastHistory 的设计原理、数据和视图转换,并展示了来自实验室和大规模在线研究的结果。我们还将听歌历史与其他生活记录数据进行了对比。普通用户的共鸣和热烈反馈表明,需要让他们能够访问自己的个人数据。我们希望通过这项研究来激发此类发展。