Change search
ReferencesLink to record
Permanent link

Direct link
SAfeDJ: A crowd-cloud codesign approach to situation-aware music delivery for drivers
Show others and affiliations
2015 (English)In: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), ISSN 1551-6857, E-ISSN 1551-6865, Vol. 12, no 1s, 21:1-24 p., 21Article in journal (Refereed) Published
Abstract [en]

Driving is an integral part of our everyday lives, but it is also a time when people are uniquely vulnerable. Previous research has demonstrated that not only does listening to suitable music while driving not impair driving performance, but it could lead to an improved mood and a more relaxed body state, which could improve driving performance and promote safe driving significantly. In this article, we propose SAfeDJ, a smartphone-based situation-aware music recommendation system, which is designed to turn driving into a safe and enjoyable experience. SAfeDJ aims at helping drivers to diminish fatigue and negative emotion. Its design is based on novel interactive methods, which enable in-car smartphones to orchestrate multiple sources of sensing data and the drivers' social context, in collaboration with cloud computing to form a seamless crowdsensing solution. This solution enables different smartphones to collaboratively recommend preferable music to drivers according to each driver's specific situations in an automated and intelligent manner. Practical experiments of SAfeDJ have proved its effectiveness in music-mood analysis, and mood-fatigue detections of drivers with reasonable computation and communication overheads on smartphones. Also, our user studies have demonstrated that SAfeDJ helps to decrease fatigue degree and negative mood degree of drivers by 49.09% and 36.35%, respectively, compared to traditional smartphone-based music player under similar driving situations.

Place, publisher, year, edition, pages
2015. Vol. 12, no 1s, 21:1-24 p., 21
National Category
Computer Engineering Communication Systems
URN: urn:nbn:se:uu:diva-267675DOI: 10.1145/2808201ISI: 000363654100011OAI: diva2:873876
Available from: 2015-10-21 Created: 2015-11-25 Last updated: 2015-11-26Bibliographically approved

Open Access in DiVA

fulltext(5790 kB)159 downloads
File information
File name FULLTEXT01.pdfFile size 5790 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Ngai, Edith C.-H.
By organisation
Computer Systems
In the same journal
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Computer EngineeringCommunication Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 159 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 1481 hits
ReferencesLink to record
Permanent link

Direct link