With modern IVIS becoming more capable and complex than ever, their evaluation becomes increasingly difficult. The analysis of large amounts of user behavior data can help to cope with this complexity and can support UX experts in designing IVIS that serve customer needs and are safe to operate while driving. We, therefore, propose a Multi-level User Behavior Visualization Framework providing effective visualizations of user behavior data that is collected via telematics from production vehicles. Our approach visualizes user behavior data on three different levels: (1) The Task Level View aggregates event sequence data generated through touchscreen interactions to visualize user flows. (2) The Flow Level View allows comparing the individual flows based on a chosen metric. (3) The Sequence Level View provides detailed insights into touch interactions, glance, and driving behavior. Our case study proves that UX experts consider our approach a useful addition to their design process.
翻译:随着现代IVIS比以往任何时候都更有能力、更复杂,它们的评价变得越来越困难。对大量用户行为数据的分析可以帮助应对这一复杂情况,并且可以支持UX专家设计为客户需要服务的IVIS,在驾驶时安全操作。因此,我们提议了一个多层次用户行为可视化框架,提供通过生产工具的远程信息收集的用户行为数据的有效可视化。我们的方法将用户行为数据分为三个不同层次:(1) 任务级别视图综合事件序列数据,通过触摸屏互动生成,使用户流动可视化。(2) 流动级别视图允许根据选定的指标比较个别流动情况。(3) 序列级别视图对触摸互动、浏览和驾驶行为提供了详细的洞察。我们的案例研究证明,UX专家认为我们的方法是对其设计过程的有益补充。