Presentation at the GALA Conference in Paris.
Safety and energy-efficiency is the main aim of every reasonable driver. But often there is too much relevant information a driver has to take into account and evaluate. A useful support can be provided by technology that can observe the driver’s situation, analyze it, and offer individualized information and services to the driver. Moreover, by means of gamification mechanisms drivers can receive valuable feedback and motivation to improve their behavior.
This paper presents such a situation-aware gamification approach in logistics, which has been elaborated in the LogiAssist project and enhanced in the TEGA game. A first user study indicated the general usefulness of this approach and revealed also several shortcomings. These results imply that this synergy of various technologies provides a promising opportunity for further investigation and development.
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Energy-efficient and safe driving using a situation-aware gamification approach in logistics
1. Energy-efficient and safe driving using a situationaware gamification approach in logistics
Roland Klemke (Open Universiteit Nederland)
Milos Kravcik (RWTH Aachen)
Felix Bohuschke (Humance AG, Cologne)
GALA Conference, Paris, 23.-25.10.2013
page 1
2. page 2
Image: Phil Rogers,
http://www.flickr.com/photos/erase/5572308872/sizes/l/in/photostream/
3. What is a mobile serious game?
page 3
Image: Phil Rogers,
http://www.flickr.com/photos/erase/5572308872/sizes/l/in/photostream/
4. Mobile Serious Games
• Mobile Serious games allow connecting
learning, gaming and situation
• Embedded in Context
• Exploration and utilization of context
• Augmentation of reality
page 4
Image: Phil Rogers,
http://www.flickr.com/photos/erase/5572308872/sizes/l/in/photostream/
6. Mobile Learning in Logistics - Situation
Workforce in logistics is inherently mobile
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Regular education is hard to perform
Image Source: http://www.flickr.com/photos/kenjonbro/3418689657/
7. LogiAssist – Learning & Assistance approach
Map
Dangerous goods
Events
+
DocStop
Language learning
Community
Education
page 7
Forms
10. Situations to recognize
• Recognition of national borders to be crossed
• E.G. different rules apply in the country to
enter
• Driving time related hints
• Proposal of nearby rest areas
• Detection of driver license related information
• expiration of a specific certificate
• offering access to relevant educational
material during breaks
page 10
16. Project Goal
A telematics-based learning game that
encourages the driver to drive economically
and environmentally safe.
page 16
17. TEGA Project as part of RWTH Course
"Hightech Entrepreneurship and New Media"
• Student project
• Simulated start-up experience
• Connected to LogiAssist project
• Approach: Gamified extension to LogiAssist
to support safe driving
• TEGA: Telematics Ecologic Game
page 17
18. LogiAssist – TEGA
LogiAssist App
Framework
Vehicle
information
CAN Bus
TEGA App
Bluetooth
LogiAssist Community Portal
- Members
- Friendships
- Profiles
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Gamification
Framework
19. Gamification Elements in TEGA
• Level system: continuous use of the app is
awarded
• Scoring system: gain points by using an
economically friendly driving style
• Reward/Achievement system: receive badges
and titles by reaching goals – e.g. reducing
average fuel consumption by 5%, 10%, or
15%
• Ranking system: compare driving style with
others: leaderboard
page 19
24. Technical results
• Integration of TEGA in LogiAssist works
• Rule-based system triggers actions
• Adjustments to gamification rules made
according to simulated test-drives
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25. User feedback
• Rule-based gamification approach generally works
and was accepted by the users
• TEGA app needs to be less intrusive
• Should operate mainly in the background
• Only notify user of achievements and scores
• Use audio notifications for achievements or leveling
information
• Underlying goals for achievements to be unlocked and
scores to be gained have to be communicated to the
user in a more explicit way
page 25
27. Conclusion
• TEGA extends rule-based approach of situation-
awareness in LogiAssist
• Rules to detect the energy-efficient driving
• Gamification elements such as scores, levels,
achievements, and badges
• Gamification outcomes added to user profile to
share results
page 27
28. Conclusion
• Weaknesses in implementation detected
• Broader user study needed under real-life
conditions
• Complement gamification with training offers
• Integrate gamification elements in core LogiAssist
tools
page 28