Planning the acoustic urban environment: a GIS-centered approach
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones
Proceedings of the 5th international conference on Mobile systems, applications and services
IEEE Pervasive Computing
Proceedings of the 6th ACM conference on Embedded network sensor systems
MobSens: Making Smart Phones Smarter
IEEE Pervasive Computing
Combining web, mobile phones and public displays in large-scale: manhattan story mashup
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Monitoring residential noise for prospective home owners and renters
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
ViralNet: a way to make short-range messages instantly viral
Proceedings of the 3rd International Conference on Information and Communication Systems
Democratizing ubiquitous computing: a right for locality
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
NeuroPlace: making sense of a place
Proceedings of the 4th Augmented Human International Conference
A survey on smartphone-based systems for opportunistic user context recognition
ACM Computing Surveys (CSUR)
Internet of Things (IoT): A vision, architectural elements, and future directions
Future Generation Computer Systems
A mobile brain sensing system for recommending third places
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.