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.

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
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2. page 2
Image: Phil Rogers,
http://www.flickr.com/photos/erase/5572308872/sizes/l/in/photostream/

3. What is a mobile serious game?
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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
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Image: Phil Rogers,
http://www.flickr.com/photos/erase/5572308872/sizes/l/in/photostream/

5. BACKGROUND: LOGIASSIST
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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
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Forms

8. Location-based services
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9. SITUATION-AWARENESS IN
LOGIASSIST
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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
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11. Situation-awareness Architecture
ActionManagement
Rule
Observation
Action
Management
History
Management
RuleManagement
Rule Manager
ContextModel
Rules
Rules
Rules
Rule
Rule
Actions
Rule
Actions
Actions
ContextMonitor
Context Container
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Context Service
Context Managers
Context Managers
Context Managers

12. Context Parameters in the Context Model
• Technical parameters
• retrieved via CAN-bus
• speed, gear used, fuel consumption
• Driver related parameters
• retrieved via LogiAssist app
• GPS position, destination, traffic information,
routing information
• Infrastructural parameters
• retrieved via LogiAssist backend
• community information, profile information
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13. Rules
• Rule contains: rule trigger and a rule action
• Rule trigger:
• Combination of a set of context parameters
• Priorities
• Rule action
• Background actions (status updates to the backend)
• Non-intrusive user interface updates (status updates for map)
• Intrusive user interface updates (warning messages)
• Blocking user interface updates (warnings requiring
interaction)
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14. Example: Low fuel warning as blocking update
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15. GAMIFICATION FOR
LOGIASSIST –
THE TEGA PROJECT
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16. Project Goal
A telematics-based learning game that
encourages the driver to drive economically
and environmentally safe.
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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
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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
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20. TEGA App
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21. USER STUDY
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22. Study elements
• Small scale user study for usability
• Using simulated test drives for safety, cost, and technical aspects
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23. Test setup
Bluetooth-Adapter
Vehicle-Simulation
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Data-Receiver

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
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26. CONCLUSION
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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
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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
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29. Thank you …
roland.klemke@ou.nl
www.linkedin.com/in/rolandklemke
@rklemke
… and drive carefully!
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