ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces
Patrick Ebel, Kim Julian G\"ulle, Christoph Lingenfelder, Andreas, Vogelsang
TL;DR
ICEBOAT is an interactive tool that visualizes and compares driver interactions and behaviors in vehicles using large naturalistic driving data, aiding automotive UX experts in analysis.
Contribution
This work introduces ICEBOAT, a novel interactive visualization tool for analyzing user interactions and driving behaviors from large-scale naturalistic data in automotive UX.
Findings
Enables detailed exploration of driver interactions.
Facilitates comparison of user flows based on key metrics.
Supports safety and performance analysis.
Abstract
In this work, we present ICEBOAT an interactive tool that enables automotive UX experts to explore how users interact with In-vehicle Information Systems. Based on large naturalistic driving data continuously collected from production line vehicles, ICEBOAT visualizes drivers' interactions and driving behavior on different levels of detail. Hence, it allows to easily compare different user flows based on performance- and safety-related metrics.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.