TY - GEN
T1 - FM-Hop
T2 - 2nd ACM Workshop on Device-Free Human Sensing, DFHS 2020
AU - Shyamsunder, Roshan
AU - Patel, Yash
AU - Kuzmanovic, Aleksandar
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/11/15
Y1 - 2020/11/15
N2 - 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.
AB - 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.
KW - automation
KW - crowd-sourced evaluation
KW - transportation-safety
UR - http://www.scopus.com/inward/record.url?scp=85096972955&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096972955&partnerID=8YFLogxK
U2 - 10.1145/3427772.3429393
DO - 10.1145/3427772.3429393
M3 - Conference contribution
AN - SCOPUS:85096972955
T3 - DFHS 2020 - Proceedings of the 2nd ACM Workshop on Device-Free Human Sensing
SP - 11
EP - 15
BT - DFHS 2020 - Proceedings of the 2nd ACM Workshop on Device-Free Human Sensing
PB - Association for Computing Machinery, Inc
Y2 - 15 November 2020
ER -