1st international workshop on ubiquitous mobile instrumentation, 8 september, 2012
DESCRIPTION
Engaging participants for collaborative sensing of human mobility Helena Rodrigues, Maria João Nicolau , Rui José and Adriano Moreira Centro Algoritmi , Universidade do Minho, Portugal. 1st International Workshop on Ubiquitous Mobile Instrumentation, 8 September, 2012. Outline. The problem - PowerPoint PPT PresentationTRANSCRIPT
ENGAGING PARTICIPANTS FOR COLLABORATIVE SENSING OF HUMAN MOBILITYHELENA RODRIGUES, MARIA JOÃO NICOLAU, RUI JOSÉ AND ADRIANO MOREIRACENTRO ALGORITMI, UNIVERSIDADE DO MINHO, PORTUGAL
1st International Workshop on Ubiquitous Mobile Instrumentation, 8 September, 2012
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
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Outline
The problem The Epi application Preliminary results Discussion
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
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The problem
How to collect data for human mobility analysis Where do people spend more time during
the day? Which are the most frequent routes used by
people? It is possible to suggest alternative and more
sustainable paths for daily trips Which could be the best decisions
concerning new computing infrastructures deployments?
Large data sets Extended periods of time
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
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The Epi application
Explore people as sensors Laptop vs mobile phone
Social application Text messages sharing between users Collects information about nearby APs Privacy policy
Preserves normal spatio-temporal behaviour of users
Text messages sharing as a service reward Non-personalised advertisements through social
services (in July and October 2010) to attract users
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
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Preliminary results
Web site: unique visitors per day Web site: number of downloads per day
Application: number of active users per week. Collected data: number of records uploaded per week
1st International Workshop on Ubiquitous Mobile Instrumentation, 2012
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Discussion
Users are more active close to advertisement periods Scalable solution for advertisement and
distribution? Improve users’ awareness about the
value of the data collected collaboratively Which should be the main characteristics of
a mobile sensing application? Open access/publication to/of the data
How to ensure privacy, trust and integrity?