living with tableau machine - ubicomp 2008 talk
DESCRIPTION
Talk slides from UbiComp 2008 (Seoul, SK). Presented by Zachary Pousman and Mario Romero. The slides gives a brief technical overview of Tableau Machine, a curious mirror of domestic life and then details the results of three eight-week deployments of TM into homes in Atlanta, GA (USA). The householders found TM curious at first, but began to appreciate its strange and abstract statements and to form intimate attachments to the system over time.TRANSCRIPT
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Living with Tableau Machine: A longitudinal
investigation of a curious domestic intelligence
Zachary Pousman, Georgia Tech
Mario Romero, Georgia Tech
Adam Smith, UC Santa Cruz
Michael Mateas, UC Santa Cruz
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Living with Tableau Machine: A longitudinal
investigation of a curious domestic intelligence
Zachary Pousman, Georgia Tech
Mario Romero, Georgia Tech
Adam Smith, UC Santa Cruz
Michael Mateas, UC Santa Cruz
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Everyday domestic lifeCapture it (Computer vision)
Interpret it (Artificial Intelligence)
Represent it (Generative Graphic Design, HCI)
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Conversation, reflection
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A social ‘actor’
&
A mirror of life
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Say hello to Tableau Machine
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Tableau MachineSystem Implementation Overview
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Tableau MachineSystem Implementation Overview
Energy
Density
Flow
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Tableau MachineSystem Implementation Overview
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Quiet times(watching TV, reading...)
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Active times alone(vacuuming, exercising...)
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Social times(family meals, homework, games...)
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Wild times(play, fighting, parties...)
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Investigating
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Tableau MachineLongitudinal Investigation
• Three households in Atlanta GA
• 6-8 weeks
• Elicitation techniques:
• Interviews
• Feltboard
• Wordgame
• Print outs
• Broken (misconfigured) TM
Household A
Household B
Household C
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The Broken TM Household A
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The Broken TMTrajectory of Appreciation, Gaver et al. 2005
Household A
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The Broken TMTrajectory of Appreciation, Gaver et al. 2005
“Natural Experiment”
Household A
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Experiments
Household AAndrew: No pictures are ever two the same. I’ve already tried to do that.
Interviewer: Is that right? You tried to do that? How did that work?
Andrew: ... So yeah, no, there was no one else in the house. So I just sat right here and I was just [he mimes holding still],
and I was looking at it and looking at it and...
But I could never get it, the same exact image. ... Well that’s what I’m trying to figure out, if it’s taking numbers, images, from [the cameras], then why is it not the same picture every time? You know?
Household A
Waving at the cameras (kids)
Turning off and on lights
Household C
Waving at the cameras (kids)
Wailing on the floor while momwatched from the dining room
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‘NIKO’
Household C
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Printing
Household B
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Printing
Household A
Household C
Household B
Average 1.46 / day
Average 3.16 / day
Average 12.64 / day
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Deepening of Reflection
Household C
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(Hints of) Personality
Household C
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Feelings of being watched
Charlie: [pointing up] his spies...
Carla: Yeah, he calls it Niko and his spies.
Interviewer: Really, ‘Niko and his spies’?
Carla: Yeah.
Household A
Household C
Household B
Household C
- All 3 Mothers changed behaviors
- Aloneness as privacy
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Implications for Ubicomp designCo-interpretation
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Implications for Ubicomp designActivity Recognition + Activity Characterization
Household Management
Outdoor ActivitiesIndoor Activities
Household life
Cooking
Cleaning Yard work
Att
ribute
you c
are
about
Attribute you care about
Exterior maintenance
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Implications for Ubicomp designActivity Recognition + Activity Characterization
Household Management
Outdoor ActivitiesIndoor Activities
Household life
Cooking
Cleaning Yard work
Exterior maintenance
Att
ribute
you c
are
about
Attribute you care about
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Implications for Ubicomp designCameras in the home
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Thanks! Questions?
We acknowledge the support of NSF IIS-0752684. We also want to thank our participant families, our advisors (John Stasko and Gregory Abowd), draft readers, reviewers and shepherd.
Zach Pousman : [email protected]
Mario Romero : [email protected]