音乐平台中音乐分类体系的用户心智模型研究<sup>*</sup>——以高校学生群体为例

doi:10.11925/infotech.2096-3467.2018.0747

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摘要

【目的】从用户体验角度探索音乐平台中的音乐分类体系, 为音乐平台中音乐分类体系的优化和相应检索模式的设计提出建议。【方法】借鉴心理学领域的心智模型理论, 以网易云音乐为实验平台对高校学生群体开展两轮实验, 探究用户在实际音乐信息交互行为中关于音乐分类体系的心智模型静态结构。【结果】对实验结果进行聚类分析后, 得到多层次型、单层次型和混合型三种用户心智模型。【局限】由于样本数量的限制和被试年龄层次较为集中, 因此在全体音乐用户的代表性方面仍有欠缺。此外, 尚未考虑不同地域及文化水平对用户心智模型的影响。【结论】本文总结的三种用户心智模型能够为音乐平台检索模式的优化和交互体验的提升提供理论依据及行动参考。

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	薛翔
	赵宇翔

关键词 ：音乐信息行为, 音乐分类, 心智模型, 用户信息交互

Abstract：

[Objective] This paper explores the classification system of online music platform from the perspective of user experience, aiming to optimize music classification and retrieval functions. [Methods] Based on the mental model theory, we chose Wangyi Yun Music as the experimental platform, and invited college students as participants. Then, we conducted two rounds of experiments to investigate the static structure of user mental model for music information interactions. [Results] We obtained multi-level, single-level and hybrid user mental models by clustering the experimental results. [Limitations] Due to the sample size and age issues, our results might not be representative. We did not examine the impacts of geographical and cultural factors on user mental models. [Conclusions] The study provides theoretical foundation and practical guidance for us to optimize music retrieval and user experience.

Key words： Music Information Behavior Music Classification Mental Model Human Information Interaction

收稿日期: 2018-07-10

基金资助:*本文系国家社会科学基金重大项目“面向知识创新服务的数据科学理论与方法研究”(项目编号: 16ZDA224)和江苏高校优势学科建设工程资助项目的研究成果之一

引用本文:

薛翔,赵宇翔. 音乐平台中音乐分类体系的用户心智模型研究^*——以高校学生群体为例[J]. 数据分析与知识发现, 2019, 3(2): 1-12.
Xiang Xue,Yuxiang Zhao. Exploring User Mental Models of Online Music Classification System: Case Study of College Students. Data Analysis and Knowledge Discovery, DOI：10.11925/infotech.2096-3467.2018.0747.

链接本文:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.0747

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