Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration
Christos Tselios, Stavros Nousias, Dimitris Bitzas, Dimitrios, Amaxilatis, Orestis Akrivopoulos, Aris S. Lalos, Konstantinos Moustakas, and, Ioannis Chatzigiannakis

TL;DR
This paper enhances an eco-driving gamification platform by integrating wearable and vehicle sensor data, providing a more realistic context for motivating eco-friendly driving behaviors, which could lead to environmental and financial benefits.
Contribution
It introduces new integration of wearable and vehicle sensors into an eco-driving gamification system, improving context awareness and realism.
Findings
Enhanced context evaluation through sensor data integration
Improved user engagement potential with realistic feedback
Potential for greater ecological impact
Abstract
As road transportation has been identified as a major contributor of environmental pollution, motivating individuals to adopt a more eco-friendly driving style could have a substantial ecological as well as financial benefit. With gamification being an effective tool towards guiding targeted behavioural changes, the development of realistic frameworks delivering a high end user experience, becomes a topic of active research. This paper presents a series of enhancements introduced to an eco-driving gamification platform by the integration of additional wearable and vehicle-oriented sensing data sources, leading to a much more realistic evaluation of the context of a driving session.
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