Prior HCI studies often analyzed smartphone app usage data for usability and user experience research purposes. App usage videos are often collected by a screen recording app in order to better analyze the app usage behaviors (e.g., app usage time, screen transition, and notification handling). However, it is difficult to analyze app usage videos along with multiple user interaction stream data. When the length of a video is long, data analysis tends to take a long time due to the volume of user interaction data. This is even more difficult for novice researchers due to a lack of data analysis experience. In this paper, we propose LV-Linker (Log and Video Linker), a visualization tool that helps researchers quickly explore the app usage log and video data by linking multiple time series log data with the video data. We conducted a preliminary user study with eight participants to evaluate the benefits of linking, by measuring task completion time, helpfulness, and subjective task workload. Our results showed that offering a linking feature significantly lowers the task completion time and task workload.
翻译:先前的 HCI 研究经常分析智能手机应用程序使用数据,以方便用户使用和用户研究。应用程序使用视频通常通过屏幕记录程序收集,以更好地分析应用程序使用行为(例如应用程序使用时间、屏幕转换和通知处理)。然而,很难分析应用程序使用视频以及多个用户互动流数据。当视频长度很长时,数据分析往往需要很长时间,因为用户互动数据的数量很大。由于缺乏数据分析经验,新研究人员更难做到这一点。在本文中,我们提议LV-Linker(Log和视频链接),这是一个可视化工具,通过将多个时间序列记录数据与视频数据连接,帮助研究人员快速探索应用程序使用记录和视频数据。我们与8名参与者进行了初步用户研究,通过测量任务完成时间、有用性和主观任务工作量,评估连接的好处。我们的结果显示,提供链接的特征大大降低了任务完成时间和任务工作量。