Visualizing Event Sequence Data for User Behavior Evaluation of In-Vehicle Information Systems

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 case study proves that UX experts consider our approach a useful addition to their design process.

13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

References in corpus (1)

• The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective

Cited by in corpus (6)

• AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction Studies
• Multitasking while Driving: How Drivers Self-Regulate their Interaction with In-Vehicle Touchscreens in Automated Driving
• How Do Drivers Self-Regulate their Secondary Task Engagements? The Effect of Driving Automation on Touchscreen Interactions and Glance Behavior
• ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces
• Exploring Millions of User Interactions with ICEBOAT: Big Data Analytics for Automotive User Interfaces
• Measuring Interaction-based Secondary Task Load: A Large-Scale Approach using Real-World Driving Data