Abstract
Collective awareness is a means by which communities can engage in collective action and crowdsourcing through citizen participation, leading to the accumulation of big data essential for informing decision making and for solving difficult problems. However, engaging a huge number of the general public in a crowdsourcing initiative is a mammoth task. This paper explores the approach implemented by the Crowd4Roads (C4Rs) project, which aims at combining smart sensing, ride sharing and gamification applications to harness collective intelligence for providing open data towards boosting traffic conditions in Europe. Drawing on the theory of gameful/playful successes of using gamification as a motivating and behavioural change tool, Crowd4Roads adopts gamification as an innovative strategy for fostering user-engagement and promoting growth within the projects user acquisition and retention metrics. This paper presents the development approach of the C4Rs' SmartRoadSense system and the design of the gamified layer that is employed to actively engage a large number of users for the pilot trials of the system. The paper provides a discussion and reflection on the development approach.
Original language | English |
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Title of host publication | Proceedings of the 11th European Conference on Games Based Learning, ECGBL 2017 |
Publisher | Academic Conferences and Publishing International Limited |
Pages | 79-87 |
Number of pages | 9 |
ISBN (Electronic) | 9781911218562 |
Publication status | Published - 2017 |
Event | 11th European Conference on Games Based Learning - Graz, Austria Duration: 5 Oct 2017 → 6 Oct 2017 Conference number: 11 |
Conference
Conference | 11th European Conference on Games Based Learning |
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Abbreviated title | ECGBL 2017 |
Country/Territory | Austria |
City | Graz |
Period | 5/10/17 → 6/10/17 |
Keywords
- Car-sharing
- Gamification
- Road-sensing
- Sustainable travel
- User-engagement
ASJC Scopus subject areas
- Software
- Computer Graphics and Computer-Aided Design
- Computer Networks and Communications
- Artificial Intelligence
- Human-Computer Interaction
- Control and Systems Engineering
- Education