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Designing for the home: a comparative study of support aids for central heating systems
J Sauer1, D G Wastell, C Schmeink
1Department of Psychology, Rue de Faucigny 2, University of Fribourg, 1700 Fribourg, Switzerland. juergen.sauer@unifr.ch
Predictive displays significantly improved user performance in managing central heating systems, unlike other support types. Users also preferred predictive and status displays, impacting system design recommendations.
Area of Science:
- Human-Computer Interaction
- Building Energy Management
- Cognitive Systems Engineering
Background:
- Effective management of central heating systems is crucial for energy efficiency and user comfort.
- Existing system support interfaces may not optimally aid users in complex control tasks.
- Understanding user interaction with system support is key to improving performance.
Purpose of the Study:
- To investigate how different enhanced system support features influence user performance in managing a central heating system.
- To evaluate the impact of historical, predictive, and instructional displays on user behavior and system outcomes.
- To gather subjective user feedback on the usability and effectiveness of various support interfaces.
Main Methods:
- Utilized a computer-based simulation (CHESS V2.0) of a central heating system.
- Assigned 75 participants to operational scenarios with varying support conditions.
- Collected objective performance data (energy consumption, information sampling, control behavior) and subjective user evaluations.
Main Results:
- Predictive displays demonstrated significant performance gains in system management.
- No performance benefits were observed with historical or instructional display types.
- Users highly valued predictive and status displays over other interface options.
Conclusions:
- Predictive display features are beneficial for enhancing user performance in central heating system management.
- System designers should prioritize incorporating predictive and status display functionalities.
- User-centered design principles, informed by empirical data, are essential for effective building energy management systems.
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