| 摘要: |
| 目的 建立一种半自动化可用性测试方法，为研究人员在使用传统可用性测试方法识别移动APP可用性问题时所需成本过高的问题提供一种解决思路。方法 使用数据采集工具CAUX，在用户执行测试任务的过程中以屏幕录制的方式自动捕获用户行为数据。利用图像对比技术从录屏数据中提取实际的任务执行序列，然后与预期的任务执行序列进行对比，自动提取存在可用性问题的页面和相关的用户行为数据，并输出一份问题页面报告。根据报告内容可以快速确定可用性问题。最后以虾米音乐作为案例进行对比实验来验证方法的可行性。结果 使用该方法发现了传统方法难以发现的绝大多数存在可用性问题的页面及其可用性问题。结论 该方法通过远程自动捕获和半自动分析用户执行测试任务时的录屏数据，可以有效发现APP在日常使用环境中存在的可用性问题，从而降低了可用性测试成本，有助于新手研究人员的使用，并很好地推动产品的快速迭代。 |
| 关键词: 可用性测试 移动APP 用户行为分析 人机交互 用户体验 屏幕录制 |
| DOI：10.19554/j.cnki.1001-3563.2022.02.016 |
| 分类号:TB472 |
| 基金项目: |
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| A Semi-Automatic Usability Testing Method for Mobile APP |
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LIU Wei, LIU Zheng-jie
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(Dalian Maritime University, Dalian 116026, China)
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| Abstract: |
| This paper aims to establish a semi-automated usability testing method to provide an idea for solving the problem of high cost when using traditional usability testing methods to identify the usability problems of mobile APP. The user behavior data is automatically captured in the process of users performing test tasks in the form of screen recording by a data acquisition tool CAUX. The actual task execution sequence is extracted from the recorded screen data, through image comparison technology. Then the pages and behavior data with usability problems are automatically extracted by comparing the actual and expected task execution sequence, and a report is generated. Based on the content of the report, usability problems can be quickly identified by researchers. Finally, a comparative experiment with Xiami Music as a case to verify the feasibility of the method. The results show that the majority of pages with usability problems and their usability issues that are difficult to find with traditional methods were discovered by using this method. The usability problems of APP in the daily use environment can be found by automatically capturing and semi-automatically analyzing the screen recording data when users perform test tasks, thereby reducing usability testing costs, benefiting novice researchers and promoting rapid iteration of products. |
| Key words: usability testing mobile app user behavior analysis human-computer interaction user experience screen recording |
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