Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Rendering effective route maps: improving usability through generalization
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Discovering personal gazetteers: an interactive clustering approach
Proceedings of the 12th annual ACM international workshop on Geographic information systems
The BikeNet mobile sensing system for cyclist experience mapping
Proceedings of the 5th international conference on Embedded networked sensor systems
The computational geowiki: what, why, and how
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Communications of the ACM
Examining micro-payments for participatory sensing data collections
Proceedings of the 12th ACM international conference on Ubiquitous computing
Code in the air: simplifying sensing on smartphones
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Integrating participatory sensing in application development practices
Proceedings of the FSE/SDP workshop on Future of software engineering research
Technology development with an agenda: interventions to emphasize values in design
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
On the implications of sense of control over bicycling: design of a physical stamina-aware bike
Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Short paper: PEPSI---privacy-enhanced participatory sensing infrastructure
Proceedings of the fourth ACM conference on Wireless network security
Planipes: mobile foot pressure analysis
Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Ikarus: large-scale participatory sensing at high altitudes
Proceedings of the 12th Workshop on Mobile Computing Systems and Applications
On truth discovery in social sensing: a maximum likelihood estimation approach
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Fast track article: Balancing behavioral privacy and information utility in sensory data flows
Pervasive and Mobile Computing
Survey: Urban pervasive applications: Challenges, scenarios and case studies
Computer Science Review
An integrated cloud-based framework for mobile phone sensing
Proceedings of the first edition of the MCC workshop on Mobile cloud computing
Accurate caloric expenditure of bicyclists using cellphones
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Maximum likelihood analysis of conflicting observations in social sensing
ACM Transactions on Sensor Networks (TOSN)
Web-based enrichment of bike sensor data for automatic geo-annotation
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Participatory sensing for fighting food deserts
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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Bicycling is an affordable, environmentally friendly alternative transportation mode to motorized travel. A common task performed by bikers is to find good routes in an area, where the quality of a route is based on safety, efficiency, and enjoyment. Finding routes involves trial and error as well as exchanging information between members of a bike community. Biketastic is a platform that enriches this experimentation and route sharing process making it both easier and more effective. Using a mobile phone application and online map visualization, bikers are able to document and share routes, ride statistics, sensed information to infer route roughness and noisiness, and media that documents ride experience. Biketastic was designed to ensure the link between information gathering, visualization, and bicycling practices. In this paper, we present architecture and algorithms for route data inferences and visualization. We evaluate the system based on feedback from bicyclists provided during a two-week pilot.