engaging a divided urban community with public visualisations and voting technology: a case study in...

Engaging a Divided Urban Community with Public Visualisations and Voting Technology: A Case Study in Cambridge

Lisa Koeman & Dr Vaiva Kalnikaitė

HCI background !PhD student at UCL (ICRI Cities): public visualisations of local data

Dr Vaiva KalnikaitėLisa Koeman

HCI background !Founder of Dovetailed Senior Visiting Fellow at UCL (ICRI Cities)

Public visualisations

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25

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April May June July

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25

50

75

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April May June July

Nuage Vert

Candy Chang

Simon Heijden

Digital Slingshot

Neighbourhood Scoreboards

Mégaphone

Tidy Street

Aim: provoke discussion and reflection on different topics relating to the Mill Road community

UBI-Hotspot Tidy Street

Come to Your Census

UBI-Hotspot Tidy Street

Come to Your Census

UBI-Hotspot Tidy Street

Come to Your Census

UBI-Hotspot Tidy Street

Come to Your Census

NEIGHBOURLINESS

COMMUNITY FEELING

HAPPINESS

SAFETY

LOCAL SHOPPING

STREET BUZZ

SOCIAL TIES

“It has obviously been a really good talking point. People have been really interested in what is going on. I have heard some rumours that it is more positive on the other side of the bridge [Romsey] than it is from over here…”

“So many people have been asking about it [the visualisation]. In fact, a guy just popped in and said ‘I just ! want to see what today’s question is’”

“It being so temporary made it feel even more special, I found myself going to Mill Road more often”.

What have we learnt?

Lessons for engaging a community

Use unobtrusive technology playfully

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Lessons for engaging a community

Distribute input devices and visualisations

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Lessons for engaging a community

Exploit the power of relative data

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Lessons for engaging a community

Live data is not always best: slowly unfolding can match the rhythm of the community more

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Lessons for engaging a community

Design displays with a finite lifetime

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Lessons for engaging a community

1) Use unobtrusive technology playfully 2) Distribute technology & visualisations 3) Focus on relative data 4) Unfold data slowly 5) Design displays with finite lifetime

What’s next?

Source: Mood Building Project

VoxBox

Thank you!

Lisa Koeman, ICRI Cities, University College London Vaiva Kalnikaitė, Dovetailed / ICRI Cities, University College London Yvonne Rogers, ICRI Cities / UCLIC, University College London !!This work is funded by the Intel Collaborative Research Institute on Cities (ICRI Cities)