Routing systems, despite their big advancements over the past years, are yet to be optimized around the end user’s feelings and needs. In this project, we propose a new framework for leveraging biomarkers data collected through smart wearable devices for human-centered personalized routing to account for how drivers might feel in each candidate route.

Heat map of drivers' heart rate in different neighborhoods of the City of Charlottesville

We can use the data collected through HARMONY to better observe the differences in different areas of the city based on historical data of drivers’ biomarkers data collected through smart wearable devices. For instance, note the differences between regions #1 and #2 in their contribution to drivers’ historical heart rate measures.

Differences in different routes between two arbitrary points

Between two arbitrary points of A and B, a typical routing service such as Google map provides us with three different routes.

But these routes are very different based on the infrastructures in them and how they might potentially affect a driver. They pass through different areas of the city with different traffic densities, noise levels, and speed limits.

Historical heart rate data in these routes are different from each other suggesting their possible effect on drivers passing through these candidate routes. Thus three routes with similar ETA can be very different if considering their effect on the drivers.

Related Publication

Tavakoli, A., Boukhechba, M., Heydarian, A., (2021). Leveraging Ubiquitous Computing for Empathetic Routing, Accepted to the Computer-Human Interaction (CHI) 2021

Arsalan Heydarian

Assistant Professor

Principal Investigator

Arash Tavakoli

PhD Student

Graduate Research Assistant