FM-Hop: An Automatic Car Radio Station Tuning System

Roshan Shyamsunder, Yash Patel, Aleksandar Kuzmanovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Distracted driving is commonly referred to as the new drunk driving. It is responsible for taking human lives on a daily basis, teens' in particular. Smartphone use, particularly texting while driving, is the most dangerous form of distracted driving. In this paper, we aim to utilize smartphones to save human lives instead. In particular, one of the most common forms of distracted driving is adjusting the car radio while driving. We propose FM-Hop, a car radio station tuning system, which automatically adjusts stations on drivers' behalf, yet without any user involvement. FM-Hop utilizes an FM receiver in a driver's smartphone to scan available FM stations and automatically tune the car FM receiver, based on user preferences. Given that FM-Hop requires no external equipment to measure user distraction, it could be seamlessly deployed in existing vehicular environments. To evaluate FM-Hop on a large scale, we deploy a web-based framework, which enables us to tap into a large crowd-sourced user base. Our tests, conducted by more than 600 paid participants, show that FM-Hop reduces the number of station switches by 3.25X. Most importantly, we explicitly demonstrate that FM-Hop strictly reduces driver distraction.

Original languageEnglish (US)
Title of host publicationDFHS 2020 - Proceedings of the 2nd ACM Workshop on Device-Free Human Sensing
PublisherAssociation for Computing Machinery, Inc
Pages11-15
Number of pages5
ISBN (Electronic)9781450381925
DOIs
StatePublished - Nov 15 2020
Event2nd ACM Workshop on Device-Free Human Sensing, DFHS 2020 - Virtual, Online, Japan
Duration: Nov 15 2020 → …

Publication series

NameDFHS 2020 - Proceedings of the 2nd ACM Workshop on Device-Free Human Sensing

Conference

Conference2nd ACM Workshop on Device-Free Human Sensing, DFHS 2020
Country/TerritoryJapan
CityVirtual, Online
Period11/15/20 → …

Keywords

  • automation
  • crowd-sourced evaluation
  • transportation-safety

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Software

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