1. VISUALIZATION OF
ENERGY CONSUMPTION IN
YOUR SMART HOME
Robin De Croon
@robindecroon & robindecroon.wordpress.com
Supervisor: Prof. dr. ir. Erik Duval
Assessors: Dr. ir. Lieven Desmet
FransVanAssche
Advisors: Dr. Joris Klerkx
Dr. Sten Govaerts
4. ExplanationTitle
• DataVisualization
• Energy Awareness
• Smart HomeTechnology
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http://us.123rf.com/400wm/400/400/johan2011/johan20111202/johan2011120200085/12703570-3d-little-human-character-with-a-tablet-pad-blank-screen-for-copy-space-people-
5. EnergyAwareness
GlobalWarming
Major challenge of man kind
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http://4.bp.blogspot.com/-AOFUPvN5Fbc/UMbYptdHkEI/AAAAAAAAACM/Nng4hx3QT08/s1600/polar+bear.png &http://farm8.staticflickr.com/7145/6808983681_767c057854_o.jpg
Save on household budget
Save 15% on electricity bill
M. Jahn, M. Jentsch, C. R. Prause, F. Pramudianto, A. Al-Akkad, and
R. Reiners. The Energy Aware Smart Home. In 2010 5th International
Conference on Future Information Technology,pages 1–8. IEEE, 2010.
G. Wood and M. Newborough. Dynamic energy consumption
indicators for domestic appliances: environment,behaviour and
design. Energy and Buildings, 35(8):821–841, Sept. 2003.
6. Which data from your smart home
do you want to visualize?
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13
16
17
19
34
36
62
0 10 20 30 40 50 60 70
How many hours TV did I watch?
Other
How many times did I use a (light) switch?
How many times was I in a room?
Which device did I use most?
How warm was it in each room?
How much energy did I use?
Number of people
http://goo.gl/oiSgI
11. Design Based Research
• Rapid prototyping
• User stories
• Prototypes (paper & digital)
• User tests with think aloud
• SUS Questionnaire
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http://farm8.staticflickr.com/7221/7351141086_85640e3c06.jpg
How do I
go back?
12. TargetAudience
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• (Smart) Home Owners
• People interested in energy savings
• People living in Europe
• Age: 20+
• All income levels
http://marketingyoucanuse.com/wp-content/uploads/2010/12/HittingTarget.jpg
Target Audience
15. Start Screen
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• Minimalistic Separation
• 3 Key words
DATA
YOU
SPHERE
• Sphere is not used anymore
3D visualization not best
visualization for this kind of
information
M. Krzywinski. Behind Every Great Visualization is a DesignPrinciple.
http://www.youtube.com/watch?v=wzeF2hDlhoY,2009. opgeroepen op 24-05-2013.
16. DATA
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•5 categories
Lights
Water
Heating
Appliances
Home Cinema
•Electricity is divided in 3
categories
•Pictures
A. de Almeida, P. Fonseca, B. Schlomann, and N. Feilberg. Characterization of the
household electricity consumption in the EU, potential energy savings and specific policy
recommendations.Energy and Buildings, 43(8):1884–1894, Aug. 2011.
T. Kamada and S. Kawai. A general framework for visualizing abstract
objects and relations. ACM Transactions on Graphics, 10(1):1–39, Jan. 1991.
17. YOU
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• Where were you the most?
•Treemap
• Hierarchical data
• Space filling visualization
B. B. Bederson, B. Shneiderman, and M. Wattenberg. Orderedand
quantum treemaps: Making effective use of 2D space to display
hierarchies. ACM Transactions on Graphics, 21(4):833–854, Oct.
2002.
20. Rapid Prototyping
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5 users 9 users 3 users 11 users
SUS: 70/100 SUS: 80/100 SUS: 82,5/100 SUS: 87/100
Paper Prototype I Paper Prototype II Digital Prototype I Digital Prototype II
22. TabletApplication?
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M. de Sá and L. Carriço. Low-fi prototypingfor mobile devices. In CHI ’06
extended abstracts on Human factors in computing systems - CHI EA ’06, page
694, New York, New York, USA, 2006. ACM Press.
28. Exhausting for the eyes
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S. Debbie, C. Jarrett, M. Woodroffe,S. Minocha. User Interface Design and Evaluation. Morgan Kaufmann. 2005
Me
41. SUS Score interpretation
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12,5
20,3
35,7
50,9
71,4
85,5
90,9
0 10 20 30 40 50 60 70 80 90 100
Worst Imaginable
Awful
Poor
OK
Good
Excellent
Best Imaginable
SUS Scores
AdjectieveRating
A. Bangor, P. Kortum, and J. Miller. Determining what individual SUS scores mean:
Adding an adjective rating scale. Journal of usability studies, 4(3):114–123, 2009.
42. June 28, 2013 42
https://picasaweb.google.com/100923738088214702616/Omini3d#5456698262314545906
51. Critical Reflection
• Broad subject
• Context Awareness
• Finding a partner
• Started to soon with a digital prototype
• Happy with the result
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52. Objectives: reached
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Analyzed some smart home technologies
Demec as partner
Statistics from Loxone
HomeViz as proof-of-concept application
SUS score of 87
Real application on Google Play
http://thumbs.dreamstime.com/z/3d-small-people-puzzle-insert-19284510.jpg
53. FutureWork
• Evaluate influence on behavior
• Support more Smart HomeTechnologies
• Analyze statistics and make suggestions
• Implement Social Functions
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