2026-04-28 ワシントン大学((UW)

BikeButler is a demo web app that lets users find personalized bike routes in Seattle. Cyclists plug in their destination and origin — just like in other mapping apps — and can then toggle sliders for eight attributes to create personalized route options. Above is the interface. The images on the right show different segments of the route.
<関連情報>
- https://www.washington.edu/news/2026/04/28/bikebutler-cycling-map-seattle-routes/
- https://dl.acm.org/doi/10.1145/3772318.3791292
BikeButler:オープンデータとVLMベースのストリートビュー画像分析を用いた、パーソナライズされた状況に応じた自転車ルート案内ツール BikeButler: A Personalized, Context-sensitive Bike Routing Tool using Open Data and VLM-based Analyses of Street View Imagery
Jared Hwang, John S. O’Meara, Zeyu Wang, Jasmine Zhang, Jon E. Froehlich
CHI ’26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems Published: 13 April 2026
DOI:https://doi.org/10.1145/3772318.3791292
Abstract
Urban cycling benefits personal wellbeing, public health, and global sustainability. While current tools such as Google and Apple Maps provide bike route recommendations, they do not account for a person’s dynamic context (e.g., commuting, recreation). We introduce BikeButler, a personalized, context-sensitive bicycle route generation tool that enables users to generate, compare, virtually preview, and iteratively customize bike routes via custom profiles that encode seven bikeability features, including bike lane existence, slope, vegetation, and surface quality—fusing data from OpenStreetMap, open government data, and a custom VLM-based analysis of Street View images. To design BikeButler, we employed a human-centered, iterative approach starting with formative interviews and culminating in a user study (N=16). Our findings demonstrate that bike routing preferences change as a function of context, that BikeButler enables users to quickly create and iterate context-sensitive routes, and that generated routes differ significantly from Google Maps bike routing, reinforcing the importance of personalization.


