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City Flow: Prototype Exploration for Visualizing Urban Traffic Conversations

机译:城市流程:用于可视化城市交通谈话的原型探索

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The paper presents City Flow, an urban traffic visualization prototype based on real post streams captured from Sina Weibo, the most popular social networking site in China. With the increasingly pervasive use of online social networks in China, these new channels attract more users than conventional social media. People use them to seek comments and points exchanges about urgent event and popular news. However, the high noise level precludes conscious or objective standpoints. Especially regarding urban traffic, the challenge is to synthesize some general characteristics of cities rather than to follow a particular event. City Flow captures a mass of data from the conversations about traffic issues through Sina Weibo and generates visualizations of general patterns in addition to including detailed insights. This paper describes the interface design, interaction modes, and data capturing methods. It also presents initial feedback from a usability study and observational findings in terms of the cities' characteristics. Our design considerations present both an overall sentiment and detailed perspectives. We define a hierarchy of categories including City Sentiment, Related Topics, and Time-based Posts Stream based on factors such as topic variables and time-span dynamics. This organizational strategy is intended to guide viewers away from the noise and towards a closer examination of facts. Online social networks add a new dimension of offering views at an individual level rather than authority level when considering social issues. But this contributes to a new phenomenon of people paying excessive attention to their personal views. Our intention is to explore ways to guide people from a micro view towards a macro view in looking into online conversations. Through the prototype of City Flow we experiment and explore the methods of designing for both collective sentiment and individual attitudes on traffic conversations. The main goal is to inspire people to refle- t on the general representations and to form opinions by considering individuals' perspectives.
机译:本文展示了城市流量,一种城市交通可视化原型,基于来自新浪微博,中国最受欢迎的社交网站。随着中国在中国的在线社交网络越来越普遍地使用,这些新渠道吸引了比传统的社交媒体更多的用户。人们使用他们寻求关于紧急事件和流行新闻的评论和积分交流。然而,高噪声水平排除了意识或客观的立场。特别是关于城市交通,挑战是综合城市的一些一般特征,而不是遵循特定事件。城市流量通过新浪微博与交通问题的对话捕获大量数据,除了包括详细的见解之外还生成一般模式的可视化。本文介绍了界面设计,交互模式和数据捕获方法。它还提出了在城市特征方面从可用性研究和观测结果的初步反馈。我们的设计考虑既存在整体情绪和详细的观点。我们根据“主题变量和时间跨度动态等因素”,定义包括城市情绪,相关主题和基于时间的帖子流的类别的层次结构。这种组织战略旨在指导观众远离噪音并仔细检查事实。在线社交网络在考虑社会问题时,添加了在个人级别而不是权威级别的新维度。但这有助于人们过度关注其个人观点的新现象。我们的目的是探讨从微观角度指导人们向宏观视图指导人们在线对话。通过城市流量的原型,我们试验并探索设计集体情绪和交通谈话的个人态度的设计方法。主要目标是通过考虑个人的观点来激励人们在一般代表中重新陈述,并形成意见。

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