SELF-CONTAINED

SELF-DRIVEN

JANUARY1st

SELF-DRIVEN

SELF-CONTAINED

JANUARY1st

transforms.me

DESIGNING SOCIAL TRANSFORMATION

Prof. AGNIS STIBE

https://www.slideshare.net/leannagingras/session-1-process-interviewing-1

http://blog.earnest-agency.com/blog/5-everyday-terrible-user-experiences-and-how-to-avoid-them

https://echristensen42.com/2016/10/07/creating-your-own-pathways-through-the-cloud/usesidewalks/

1202014

€ 30 000 000FROM/VON2010 —

TO/BIS2014

HighlightsRadwege-BauprojekteWichtige Radprojekte, in den Jahren 2010 bis 2014 umgesetzt: 1: Ottakringer Straße, 2: Ring-Rund-Radweg, 3: Radwege rund um den Hauptbahnhof, 4: Landstraßer Gürtel, 5: Zentrum Meidling, 6: Kagraner Platz, 7: fahrradfreundliche Hasnerstraße

Generelle Radverkehrsplanungund StudienAuswahl aus Konzepten und Studien: Radlangstrecken und Lückenschlüsse, befahrbare Haltestellenkaps für RadfahrerInnen, Piktogramme und Pfeile zur Erhöhung der Verkehrssicherheit, Radfahren gegen die Einbahn

1 2

45

6

3

7

Radfahrengegendie Einbahn

+ 16 %

StVO-Novelle umgesetztFahrradstraße: 1.650 mBenutzungspflicht bei Radwegen aufgehoben: 1.970 mBegegnungszonen: 1.200 m

DetailplanungMehr als 600 Einzelmaßnahmen für den (fließenden und ruhenden) Radverkehr pro Jahr, unter breiter interdisziplinärer Beteiligung am Planungs- und Umsetzungsprozess: Dienststellen, Bezirke, Wirtschaftskammer, Polizei etc. (bis zu 30 Beteiligte)

Radfahrnetz

Citybike-Stationen

+ 96 km2010

Budget für die Radinfrastruktur

MillionenEuro

(6 Mio. p.a.)

30

792010

Winterdienst

266 km prioritär geräumte Radwege

Errichtete Radabstellplätze

2010

+ 9.588

27.329 Stück

2014

36.917 Stück

2014 1.270 km

1.174 km

Radinfrastruktur 2010 – 2014

Tempo-30-Zonen in Wien

Befahrbare Haltestellenkaps für

RadfahrerInnen

Radlangstrecken

Piktogrammeund Pfeile

zur Erhöhung der Verkehrs-sicherheit

Radfahrengegen

die Einbahn

Modal Split RadverkehrAnteil des Radverkehrs an den zurückgelegtenWegen der Wienerinnen und Wienern

2010: 1.472 km

2014: 1.657 km

4,6 % 7,1 %

2010

2014

EINBAHN

ausgen.

2010

208.790 m

ausgen.

242.420 mEINBAHN20

14

Impressum: Magistrat der Stadt Wien, Rathaus, A-1082 Wien, www.verkehr.wien.at

ATTITUDE

BEHAVIOR

CITY

http://performancecritical.com/handling-inattention-barrier-effective-communication/

Persuasive Cities for Sustainable Wellbeing

Dr. Agnis Stibe 13

http://inspiration.goreapparel.com/cycling-to-work/

http://www.thisiscolossal.com/2014/10/lets-bike-it-bamboo-car-skeletons/

http://levieva.blogspot.fi/2011/06/social-psychology.html

PERSUASION SOCIAL INFLUENCE

ACTIONof causing someone

to do something through

REASONING

CAPACITYto have an effect on

the behavior of someone in a

SOCIAL CONTEXT

CTCOMPETITION

SLLEARNING

SCCOMPARISON

CRCOOPERATION

NINORMATIVE

SFFACILITATION

RERECOGNITION

1174

Persuasive Cities for Sustainable Wellbeing

Dr. Agnis Stibe 26

MatthiasWunsch

PERSUASIVECHANGE CARE TRANSFORMATIONAL

SOCIOTECH DESIGN

SMART

CLASSIFY UNDERSTAND BIG DATA

SENSITIVE

READ FEEL SENSORS

Leisure bikers Average bike rides

Only on weekends Zero a week

Bike to work too One a week

STATUS ???

BEHAVIOR

CITY

People earning same or more don’t ride a bike

transforms.me

14COMPANIES

240EMPLOYEES

30000MILES

ML PEOPLEON 2/3 FLOORS

# TIMES ELEVATORS GO TO 2/3 FLOORS

USEELEVATORS 100

USESTAIRS 50

THE WHITE MIRROR TOLD THAT IS GOING TO HAPPEN. IT SAID THERE IS NO OTHER WAY. SOMETHING IS ABOUT TO LAND ON THIS PLANET. SOMETHING UNEXPECTEDLY STRONG AND RESILIENT. THE KINGS WONDERED AND COULD NOT BELIEVE THAT. THE KINGS ON THE BRIGHT SIDE OF THE PLANET TRIED TO PULL THEIR HEADS TOGETHER AND FIND A WAY TO PREPARE FOR THE INEVITABLE OCCASION…

ChristianavonHippel

88%PEDALED

Michael Lin

https://vimeo.com/151414235

https://vimeo.com/151414235

POSITIVEOUTCOME

NEGATIVEOUTCOME

INTENDED

UNINTENDED

MAJORSEVERITY

MINORSEVERITY

HIGHLIKELIHOOD

LOWLIKELIHOOD

BACKFIRING

DARK PATTERNS

TARGET BEHAVIOR

SURPRISEBEHAVIOR

Djurgården 2

Advice Accenture Latvia Magazine | Issue 5 | May 2017

Advice fromAgnis Stibe,Transformational Designer

Nowadays, there are experts in technology, experts in sensors, data analytics, machine learning, and so on – we have this fragmented expertise and we are just refining technology, but there is no one really thinking about and defining the purpose and contribution of these innovations. Is there anyone responsible for painting such a big picture, containing all the emerging innovations and their interplay in the future?

I’d like to address a concern that many people have — that AI is going to be a threat. For thousands of years the mankind had a very simple evolutionary driver — to survive. Now, we have collectively evolved to a different level of intelligence. We have escaped from the worries that we had hundreds of years ago. However, it is very likely that the same mechanism of fear that helped people to survive back then, now triggers us to be afraid of these unknown new technologies. We natu-rally look out for danger whenever we face uncertainty. Today, many don’t know what AI really is, thus are becoming scared of it. Quite commonly, our thoughts shape how we feel. Both positive and negative thinking continuously influence and determine our lives and wellbeing. While fear can be powerful behavioral motivator, it is important to recognize that fear crowds the mind with negative emotional beliefs. Thus, the opportunity today is in building forward-thinking and tech-nology-supported societies by minimizing fear driven aspects and maximizing the behavioral drivers of positive pursuit.

I have a strong opinion that intelligence is something that people have developed over centuries of evolution.

Thus, for machines to be able to resemble anything similar to human intelligence is almost impossible, because people create machines. Consequently, there will always be people at the very inception of any technology, so there will always be traces of human footprints and the biases of creators in AI. Nevertheless, machines have multiple strengths, such as abili-ties to process big data, compute much faster, and store large volumes of fine grain details. Undoubtedly, those are great benefits machines can provide to people. But, for intelligence to emerge, any machine has to become creative, right? So, the question is – if or when a machine can become as creative as a human? It is essentially important to explain to everybody that machines can get only as intelligent as we make them. Com-plete intelligence needs to have high levels of independence, and I don’t believe that machines can reach that state of being independent of human support. We always direct machines to complete certain tasks that we want them to perform.

While working with machines, we also have to understand how technology influences our behavior. New technological advancements may also enable negative behavioral impacts, for example – digital addiction, distracted sense of reality, in-activity, cyber-crimes, etc. Nevertheless, let’s be mindful as, in the end, we are making our final choices. Therefore, let’s design our future environments as ones that orchestrate more posi-tive, encouraging, and fulfilling series of daily interactions. The opportunities – and challenges – are right there in front of us to guide our future in a more purposeful yet rewarding way.

The purpose of innovationsArtificial intelligence (AI) is going to be just another buzzword if we won’t try zooming out and locating it within a bigger picture of our lives. What is AI? What is the purpose of AI? This discussion is currently missing from the discourse around AI. To a certain degree, everyone is interested in talking about AI, many say it is important, but why? How? For whom? How AI will influence our daily routines? Finding answers to these questions is essential already today.

Agnis is a Social Engineer at MIT Media Lab: transforms.me

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