Transcript
Page 1: Living with Tableau Machine - Ubicomp 2008 talk

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

Page 2: Living with Tableau Machine - Ubicomp 2008 talk

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

Page 28: Living with Tableau Machine - Ubicomp 2008 talk

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

Page 29: Living with Tableau Machine - Ubicomp 2008 talk

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]


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