Visualizing Event Sequence Data for User Behavior Evaluation of In-Vehicle Information Systems
Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang

TL;DR
This paper introduces a multi-level visualization framework for analyzing user behavior data in in-vehicle information systems, aiding UX evaluation and design through detailed event sequence insights.
Contribution
It presents a novel multi-level visualization approach for user behavior data in IVIS, integrating task, flow, and sequence views for comprehensive analysis.
Findings
UX experts find the visualization framework useful for design evaluation
The approach effectively visualizes complex event sequences from telematics data
Case study demonstrates improved understanding of user interactions
Abstract
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…
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