Visualizing Event Sequence Data for User Behavior Evaluation of In-Vehicle Information Systems
This addresses the problem of designing safe and user-friendly IVIS for automotive UX experts, though it appears incremental as it builds on existing visualization techniques for event sequence data.
The paper tackles the difficulty of evaluating increasingly complex in-vehicle information systems (IVIS) by proposing a multi-level visualization framework for user behavior data collected via telematics, which UX experts found useful in a case study.
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.