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Situation Awareness and Gamification for Driver assistance on Railways
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Computer and Information Science.
2014 (English)MasteroppgaveStudent thesis
Abstract [en]

Rail companies are increasingly investing in information systems that contribute to reducing energy consumption and increasing punctuality by telling the train driver at which speed to drive. These driver advisory systems do little to make the train driver understand why the advice is given and existing research suggests that increasing the train drivers awareness of the traffic around them could have positive effects on the acceptance of the advice given by driver advisory systems, while also increasing the train drivers understanding of the current situation and projection of future state, their situational awareness. There also seems to be room for increasing train drivers motivation to follow the advice of driver advisory systems by motivating them to be punctual. Gamification is a set of concepts that are often used with success to increase system usage and user interaction and can be a promising way of motivating train drivers This Thesis shows that the situational awareness of train drivers can be supported by designing and prototyping a system that fills this gap in current research by visualizing live traffic. The thesis also defines a framework for constructive use of gamification targeted towards making train drivers reflect over own driving styles and motivating towards punctuality. The scientific contributions of this thesis are: C1: A novel framework for applying gamification to support reflection and increase train drivers intrinsic motivation to be punctual. C2: A prototypical example of how the situational awareness of train drivers can be supported.

Place, publisher, year, edition, pages
Institutt for datateknikk og informasjonsvitenskap , 2014. , 107 p.
URN: urn:nbn:no:ntnu:diva-27055Local ID: ntnudaim:11847OAI: diva2:756714
Available from: 2014-10-18 Created: 2014-10-18 Last updated: 2014-10-18Bibliographically approved

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