EverTutor: automatically creating interactive guided tutorials on smartphones by user demonstration

Cheng-Yao Wang, Wei-Chen Chu, Hou-Ren Chen, Chun-Yen Hsu, Mike Y. Chen
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引用次数: 30

Abstract

We present EverTutor, a system that automatically generates interactive tutorials on smartphone from user demonstration. For tutorial authors, it simplifies the tutorial creation. For tutorial users, it provides contextual step-by-step guidance and avoids the frequent context switching between tutorials and users' primary tasks. In order to generate the tutorials automatically, EverTutor records low-level touch events to detect gestures and identify on-screen targets. When a tutorial is browsed, the system uses vision-based techniques to locate the target regions and overlays the corresponding input prompt contextually. It also identifies the correctness of users' interaction to guide the users step by step. We conducted a 6-person user study for creating tutorials and a 12-person user study for browsing tutorials, and we compared EverTutor's interactive tutorials to static and video ones. Study results show that creating tutorials by EverTutor is simpler and faster than producing static and video tutorials. Also, when using the tutorials, the task completion time for interactive tutorials were 3-6 times faster than static and video tutorials regardless of age group. In terms of user preference, 83% of the users chose interactive type as the preferred tutorial type and rated it easiest to follow and easiest to understand.
EverTutor:通过用户演示自动创建智能手机上的交互式指导教程
我们介绍了EverTutor,一个从用户演示中自动生成智能手机交互式教程的系统。对于教程作者来说,它简化了教程的创建。对于教程用户,它提供上下文逐步指导,避免教程和用户的主要任务之间频繁的上下文切换。为了自动生成教程,EverTutor记录低级触摸事件来检测手势和识别屏幕上的目标。当浏览教程时,系统使用基于视觉的技术来定位目标区域,并根据上下文覆盖相应的输入提示。识别用户交互的正确性,逐步指导用户。我们对创建教程进行了6人用户研究,对浏览教程进行了12人用户研究,并将EverTutor的交互式教程与静态教程和视频教程进行了比较。研究结果表明,通过EverTutor创建教程比制作静态和视频教程更简单、更快。此外,在使用教程时,无论年龄组,交互式教程的任务完成时间都比静态和视频教程快3-6倍。在用户偏好方面,83%的用户选择互动类型作为首选教程类型,并认为它最容易遵循和最容易理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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