Selectively localized: Temporal and visual structure of smartphone screen activity across media environments
Selectively localized: Temporal and visual structure of smartphone screen activity across media environments
复制标题
DOI：
10.1177/20501579221080333
复制
发表时间：
2022-02-21
影响因子：
4.9
通讯作者：
Reeves, Byron
中科院分区：
文献类型：
--
作者：
Muise, Daniel;Lu, Yingdan;Reeves, Byron
这项研究展示了本地化和同质化如何在智能手机使用的不同方面共同发生。智能手机提供媒体行为的个性化：用户可以随时开始、结束或在无数任务之间切换，但这种个性化是由共享环境形成的，使得智能手机使用在共享这种环境的那些人之间可能是相似的，但在环境或地区之间包含差异或本地化。然而，对于所有用户来说，智能手机屏幕交互都受到几乎相同的智能手机界面的约束和指导，这表明无论环境如何，智能手机的使用可能在所有人中都是相似或同质化的。我们研究同质化和本地化的时间，视觉和经验组成的个人之间的屏幕活动在三个不同的媒体环境-美国，中国和缅甸-使用一个星期的屏幕截图数据被动捕获每5秒的新Screenomics框架。我们发现，整体使用水平是一贯不同的媒体环境，而指标，更依赖于时刻级的决策和用户界面设计并没有显着不同的媒体环境。这些结果表明，同质化和本地化的定量研究应该分析用户界面和上下文确定的参数，分别驱动的行为。
This study demonstrates how localization and homogenization can co-occur in different aspects of smartphone usage. Smartphones afford individualization of media behavior: users can begin, end, or switch between countless tasks anytime, but this individualization is shaped by shared environments such that smartphone usage may be similar among those who share such environments but contain differences, or localization, across environments or regions. Yet for all users, smartphone screen interactions are bounded and guided by nearly identical smartphone interfaces, suggesting that smartphone usage may be similar or homogenized across all individuals regardless of environment. We study homogenization and localization by comparing the temporal, visual, and experiential composition of screen activity among individuals in three dissimilar media environments-the United States, China, and Myanmar-using one week of screenshot data captured passively every 5 s by the novel Screenomics framework. We find that overall usage levels are consistently dissimilar across media environments, while metrics that depend more on moment-level decisions and user-interface design do not vary significantly across media environments. These results suggest that quantitative research on homogenization and localization should analyze behavior driven by user interfaces and by contextually determined parameters, respectively.