mental model interface design: - putting users in control€¦ · light,‘bias robust’method for...
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Mental Model Interface Design: - Putting Users In Control
Kirsten M A Revell, Neville Stanton Human Factors Engineering, Transportation Research Group
Intelligent Agents for Home Energy Management
University of Southampton
Energy Feedback Symposium, 4th-5th July
Inspiration from Kempton (1986)
Feedback Mental Model
Valve Mental Model
Tem
pe
ratu
re/o
F
Time/hours
Tem
pe
ratu
re/o
F
Time/hours
Valve behaviour patterns may consume less energy
More variables need to be considered to understand the consequences of User
Behaviour
Exploring Relationship to inform energy conserving strategies
Device Design
Behaviour Patterns
Mental Models
Heating Goals
Comfort/ Energy
Hypothesis 1
Hyp
oth
esis
2
Hypothesis 3
Naturalistic home heating simulator
Mental Model promoting interface
More appropriate Functional UMMs at Device Level
0
2
4
6
8
10
12
14
16
18
20
Realistic Design Realistic Design Realistic Design Realistic Design
Programmer Boost Thermostat TRV
Fre
qu
en
cy
Appropriateness by Condition, of Key Control Function Described in User Mental Models
Missing
Not Appropriate
Appropriate
Key system elements in UMMs
Boiler Activation
Increased Duration of Goal Acheivement
Statistically Significant Improvements with Mental Model Promoting Interface
System and Device Design
Behaviour Patterns & Strategies
Mental Model Content
Heating Goals
• Improved awareness of home heating controls
• More appropriate mental models at Device and System level (Conditional Rule, TRV feedback)
• Greater control of boiler activation
• Increased use of Frost Protection and Holiday Button
• More appropriate behaviour with TRV controls
• Increased duration of goal achievement
Further Information
• Revell, K. M. A. & Stanton, N. A. 2014. Case studies of mental models in home heat control: Searching for feedback, valve, timer and switch theories. Applied Ergonomics, 45 (3), 363-378.
• Revell, K.M. and Stanton, N.A., 2015. When energy saving advice leads to more, rather than less, consumption. International Journal of Sustainable Energy, pp.1-19.
• Revell, K. M. A. & Stanton, N. A. 2012. Models of models: filtering and bias rings in depiction of knowledge structures and their implications for design. Ergonomics, 55 (9), 1073-1092.
• Revell, K.M. and Stanton, N.A., 2016. Mind the gap–Deriving a compatible user mental model of the home heating system to encourage sustainable behaviour. Applied Ergonomics
• Revell, K. and Stanton, N.A., 2016. The Quick Association Check (QuACk): a resource-light,‘bias robust’method for exploring the relationship between mental models and behaviour patterns with home heating systems. Theoretical Issues in Ergonomics Science, pp.1-34.
• Forthcoming Book by Taylor & Francis: “Mental Models: Design of User Interaction and Interfaces for Domestic Energy Systems”
Contact: [email protected]