用个人数据可视化提升社会科学中的访谈：以音乐听力为例
Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening
摘要：
长期以来，收集人们喜欢、不喜欢和实际听的音乐的准确和精细信息一直是社会学家的一个挑战。随着数百万人现在使用在线音乐流媒体服务，研究可以建立在这些平台收集的个人收听历史数据的基础上。个人采访尤其可以从这些数据中受益，因为采访者可以让自己沉浸在同意受访者的音乐世界中，从而向他们提出背景问题并获得更准确的答案。然而，设计一个视觉探索工具，允许这样的沉浸是困难的，因为听力数据的体积和异质性，不平等的“视觉素养”的潜在用户，或采访者的潜在缺乏知识的受访者所听的音乐。在这个案例研究中，我们讨论了这样一个工具的设计和评估。与社会科学家一起设计，其目的是帮助他们准备和进行半结构化访谈，解决听力体验的各个方面。它是在与法国一个流媒体平台的同意用户进行的30次采访中进行评估的。
英文摘要：
Collecting accurate and fine-grain information about the music people like, dislike and actually listen to has long been a challenge for sociologists. As millions of people now use online music streaming services, research can build upon the individual listening history data that are collected by these platforms. Individual interviews in particular can benefit from such data, by allowing the interviewers to immerse themselves in the musical universe of consenting respondents, and thus ask them contextualized questions and get more precise answers. Designing a visual exploration tool allowing such an immersion is however difficult, because of the volume and heterogeneity of the listening data, the unequal "visual literacy" of the prospective users, or the interviewers' potential lack of knowledge of the music listened to by the respondents. In this case study we discuss the design and evaluation of such a tool. Designed with social scientists, its purpose is to help them in preparing and conducting semi-structured interviews that address various aspects of the listening experience. It was evaluated during thirty interviews with consenting users of a streaming platform in France.
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