用探索性浏览的创意指标评估TweetBubble

Ajit Jain, Nic Lupfer, Y. Qu, Rhema Linder, A. Kerne, Steven M. Smith
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引用次数: 18

摘要

我们对Twitter界面进行了扩展,以激发社交媒体的探索性浏览,并开发了一种创造性的认知方法来确定其有效性。探索性浏览是一个创造性的过程,在这个过程中,用户在研究一个概念空间时寻找和遍历各种各样的和新颖的信息。TweetBubble浏览器扩展扩展了Twitter,可以在不覆盖初始内容的情况下扩展社交媒体associations@usernames和#hashtags-in-context。我们建立在先前的元数据类型系统的基础上,开发新的表示语义,使集成的外观和感觉与Twitter一致。我们展示了探索性浏览是如何构成一个微型创意过程的。我们使用先前的构思指标作为探索性浏览的新构思指标的基础。我们在2014年奥斯卡颁奖典礼期间进行了一项混合方法的众包研究,数据来自54名参与者。定量和定性的研究结果验证了社交媒体的情境探索性浏览界面技术。它们的一致性支持了探索性浏览的构思指标作为旨在促进创造性参与的交互系统的评估方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating TweetBubble with Ideation Metrics of Exploratory Browsing
We extend the Twitter interface to stimulate exploratory browsing of social media and develop a creative cognition method to establish its efficacy. Exploratory browsing is a creative process in which users seek and traverse diverse and novel information as they investigate a conceptual space. The TweetBubble browser extension extends Twitter to enable expansion of social media associations@usernames and #hashtags-in-context, without overwriting initial content. We build on a prior metadata type system, developing new presentation semantics, which enable an integrated look and feel consistent with Twitter. We show how exploratory browsing constitutes a mini-c creative process. We use prior ideation metrics as a basis for new ideation metrics of exploratory browsing. We conducted a mixed methods crowdsourced study, with data from 54 participants, amidst the 2014 Academy Awards. Quantitative and qualitative findings validate the technique of in-context exploratory browsing interfaces for social media. Their consistency supports the validity of ideation metrics of exploratory browsing as an evaluation methodology for interactive systems designed to promote creative engagement.
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