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ArchMiner An exploratory data analysis tool for the Center for the Built Environment Stephanie Hornung Leah Zagreus Masters Candidates 2003 What is CBE? Center for the Built Environment (CBE) Research group in the College of Environmental Design
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ArchMiner An exploratory data analysis tool for the Center for the Built Environment Stephanie Hornung Leah Zagreus Masters Candidates 2003
What is CBE? • Center for the Built Environment (CBE) • Research group in the College of Environmental Design • Aims to inform the building industry of new building technologies and design strategies that improve efficiency and occupant comfort
Occupant Satisfaction Survey • Web-based survey • Measures occupant satisfaction with a variety of metrics (such as air quality, acoustics and lighting) It’s cold at my desk, I think there’s a draft There’s a terrible glare on my screen in the afternoon Everyone can hear what I say on the phone, and sometimes its personal The air would be so much better if we could open a window!
Benchmarking • Survey data used to correlate occupant comfort with building technologies • How do the occupants in this building feel about the temperature in their workspace? • Is the occupants’ feeling about the temperature related to having a thermostat? • How do the results from this building compare with other buildings in the same geographical area?
Analysis Process • View survey results using in-house reporting tool • Create many charts and pivot tables using Microsoft Excel to try to find interesting relationships Process is inefficient and very time consuming!
Reporting Tool • Provides easy viewing of survey results • New filtering capability allows some exploration • How do occupants with individual thermostats feel about the temperature in their workspace? But: • Side-by-side comparison is not easy • Is the occupants’ feeling about the temperature related to having a thermostat?
Microsoft Excel • Researchers make charts and pivot tables looking for interesting relationships • Can result in many charts, with only a few yielding results • Chart-creation process is time consuming • Raw data difficult to parse
Researcher’s Need A fast, simple way to explore relationships in the survey data without having to manually create each chart or table — fill gap between viewing survey results and doing statistical analysis • Solution: • A visual crosstab design that requires little set-up and yields useful information
Our Design Process • Two rounds of low-fi prototype testing • Designs are easy to make and change, and even easier to discard • Heuristic Evaluation done by colleagues in is213 • Pilot usability test
Implementation Tools • Java 2SE v1.4.1 • Swing UI components • Threads • JDBC • MS SQL Server 2000 • Visual Mining NetCharts Server 4.0
Evaluation and Feedback • CBE partner meeting demo • Pilot usability study • 3 typical users: 1 researcher, 2 GSRs • 7 typical tasks • Observation, “think aloud” techniques • Recorded time, task completion, error rate • Post-test questionnaire with Likert Scale followed by interview
Quotes “Easy to use” “Very useful” “Yahoo! When can I use it?” “Everything is where I expect it to be” “Powerful!”
Pilot Usability Study Results • All participants completed 5 of 7 tasks in ~ 2 min or less • Overall: Easy to use, powerful, and intuitive interaction flow
Future Work v1.0 • Export • Permissions • Performance • Reporting tool integration
Future Work v2.0 • Undo • More chart types • Saving views • Freeze panes, show/hide rows • Preferences
Acknowledgements • Dr. Marti Hearst • TAs Maggie Law and Kaichi Sung • Research Specialist Charlie Huizenga • Center for the Built Environment 213 teammates Myra Liu and Anita Wilhelm
More Information • ArchMinerhttp://dream.berkeley.edu/CBEdatamining • Center for the Built Environmenthttp://www.cbe.berkeley.edu • Occupant Satisfaction Surveyhttp://www.cbesurvey.org
