This paper presents the design of a context-aware mobile application for eco-driving based on state-of-the-art data sensing-processing devices for improving effectiveness of driving style. The paper will address human factors' challenges related to the design and delivery of effective, context relevant feedback or audio notifications that can help the user to acquire and improve their level of eco-driving, by minimizing negative effects on user attention and motivation (considering typical app usage over time). The design case presented can inform the future development of more effective just-in-time interventions for eco-driving and sustainable mobility.
Designing a Context-Aware Mobile Application for Eco-Driving
Silvia Gabrielli;Rosa Maimone
2014-01-01
Abstract
This paper presents the design of a context-aware mobile application for eco-driving based on state-of-the-art data sensing-processing devices for improving effectiveness of driving style. The paper will address human factors' challenges related to the design and delivery of effective, context relevant feedback or audio notifications that can help the user to acquire and improve their level of eco-driving, by minimizing negative effects on user attention and motivation (considering typical app usage over time). The design case presented can inform the future development of more effective just-in-time interventions for eco-driving and sustainable mobility.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
