Start Date
16-8-2018 12:00 AM
Description
The design and adoption of gamified information systems have been increasingly discussed in various fields of application such as education, health, crowdsourcing, or sustainability. We focus on the field of environmental sustainability and follow a design science research approach to develop and evaluate an instantiation of an artifact in the form of a gamified mobile application that supports eco-driving. In our research-in-progress, we propose the design of the artifact, which allows drivers to monitor their acceleration and braking performance. Through a situated implementation of two different gamification design elements, leaderboard and badges, the artifact encourages drivers to improve on their eco-driving behavior. We present an experimental design with which we plan to evaluate the artifact in a controlled setting using a driving simulator.
Recommended Citation
Degirmenci, Kenan, "Toward a Gamified Mobile Application to Improve Eco-Driving: A Design and Evaluation Approach" (2018). AMCIS 2018 Proceedings. 6.
https://aisel.aisnet.org/amcis2018/AdoptionDiff/Presentations/6
Toward a Gamified Mobile Application to Improve Eco-Driving: A Design and Evaluation Approach
The design and adoption of gamified information systems have been increasingly discussed in various fields of application such as education, health, crowdsourcing, or sustainability. We focus on the field of environmental sustainability and follow a design science research approach to develop and evaluate an instantiation of an artifact in the form of a gamified mobile application that supports eco-driving. In our research-in-progress, we propose the design of the artifact, which allows drivers to monitor their acceleration and braking performance. Through a situated implementation of two different gamification design elements, leaderboard and badges, the artifact encourages drivers to improve on their eco-driving behavior. We present an experimental design with which we plan to evaluate the artifact in a controlled setting using a driving simulator.