Visualizing event sequence data for user behavior evaluation of in-vehicle information systems

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Abstract

With modern In-Vehicle Information Systems (IVISs) 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 IVISs 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.

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Ebel, P., Lingenfelder, C., & Vogelsang, A. (2021). Visualizing event sequence data for user behavior evaluation of in-vehicle information systems. In Proceedings - 13th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021 (pp. 219–229). Association for Computing Machinery, Inc. https://doi.org/10.1145/3409118.3475140

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