The document discusses concepts related to transforming systems through socially influencing design. It discusses how systems can be mediated, algorithmically moderated, and use dynamic design and content to influence user behavior and participation in a persuasive but ethical manner. Key aspects discussed include moderation, intended vs unintended outcomes, and avoiding unintended negative consequences like backfiring or surprises. The goal is to advance understanding of computer-supported influence and transformation.
4. 120
2014
€ 30 000 000
FROM/VON
2010 —
TO/BIS
2014
Highlights
Radwege-Bauprojekte
Wichtige 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 Radverkehrsplanung
und Studien
Auswahl aus Konzepten und Studien: Radlangstrecken und
Lückenschlüsse, befahrbare Haltestellenkaps für RadfahrerInnen,
Piktogramme und Pfeile zur Erhöhung der Verkehrssicherheit,
Radfahren gegen die Einbahn
1
2
4
5
6
3
7
Radfahren
gegen
die Einbahn
+16%
StVO-Novelle umgesetzt
Fahrradstraße: 1.650 m
Benutzungspflicht bei Radwegen aufgehoben: 1.970 m
Begegnungszonen: 1.200 m
Detailplanung
Mehr 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 km
2010
Budget für die
Radinfrastruktur
Millionen
Euro
(6 Mio. p.a.)
30
79
2010
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
Piktogramme
und Pfeile
zur Erhöhung der
Verkehrs-
sicherheit
Radfahren
gegen
die Einbahn
Modal Split Radverkehr
Anteil des Radverkehrs an den zurückgelegten
Wegen 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 m
EINBAHN
2014
Impressum: Magistrat der Stadt Wien, Rathaus, A-1082 Wien, www.verkehr.wien.at
13. 2019
Empowering Sustainable Change: Emergence of
Transforming Wellbeing Theory
Agnis Stibe1
, Kathrin Röderer2
, Michaela Reisinger2
, and Tobias Nyström3
1
ESLSCA Business School Paris, France
agnis@transforms.me
2
Austrian Institute of Technology, Austria
{kathrin.roederer, michaela.reisinger}@ait.ac.at
3
Uppsala University, Sweden
tobias.nystrom@im.uu.se
Abstract. Majority of global problems and business challenges are byproducts
46. WELLBEING IN MY CITY
I SEE HOW MY CITY DEVELOPS IN LINE WITH NOVEL
TECHNOLOGIES AND INNOVATIONS. I WILL HAVE A HEALTHY
LIFE HERE. COMMUNITIES HAVE STRONG COLLABORATIVE
SPIRIT TOWARDS WELLBEING. I WILL BE ABLE TO FULFIL
MYSELF. I WOULD SPEND MORE TIME OUTSIDE OF MY HOME
TO INTERACT WITH OTHERS. WE WILL HAVE NICELY
DESIGNED PUBLIC SPACES FOR THE RESIDENTS OF ALL AGES.
49. SELF-
CONTAINED
SELF-
DRIVEN
JANUARY
1st
TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
INTELLIGENCE
CLASSIFY UNDERSTAND AI / BIG DATA
DATA
READ FEEL SENSORS
TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
SMART
CLASSIFY UNDERSTAND AI / BIG DATA
SENSING
READ FEEL SENSORS
TRIANGLE
CURVE
METRIC
CIRCLES
ARCHITECTURE
1
2 3
4
5
50. Persuasive Cities for Sustainable Wellbeing:
Quantified Communities
Agnis Stibe(&)
and Kent Larson
MIT Media Lab, Cambridge, USA
{agnis,kll}@mit.edu
Abstract. Can you imagine a city that feels, understands, and cares about your
wellbeing? Future cities will reshape human behavior in countless ways. New
strategies and models are required for future urban spaces to properly respond to2016
64. Towards a Framework for Socially Influencing Systems:
Meta-analysis of Four PLS-SEM Based Studies
Agnis Stibe( )
MIT Media Lab, Cambridge, MA, USA
agnis@mit.edu
Abstract. People continuously experience various types of engagement through
social media, mobile interaction, location-based applications, and other tech-
nologically advanced environments. Often, integral parts of such socio- 2015
65. SELF-
CONTAINED
SELF-
DRIVEN
JANUARY
1st
TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
SMART
CLASSIFY UNDERSTAND AI / BIG DATA
SENSING
READ FEEL SENSORS
TRIANGLE
CURVE
METRIC
CIRCLES
ARCHITECTURE
SOCIUM
CT
COMPETITION
SL
LEARNING
SC
COMPARISON
CR
COOPERATION
NI
NORMATIVE
SF
FACILITATION
RE
RECOGNITION
INVOLVEMENT
ENGAGEMENT
PARTICIPATION
1
2 3
4
5
6
71. Advancing Typology of Computer-Supported Influence:
Moderation Effects in Socially Influencing Systems
Agnis Stibe( )
MIT Media Lab, Cambridge, MA, USA
agnis@mit.edu
Abstract. Persuasive technologies are commonly engineered to change beha-
vior and attitudes of users through persuasion and social influence without us-
ing coercion and deception. While earlier research has been extensively focused 2015
72. SELF-
CONTAINED
SELF-
DRIVEN
JANUARY
1st
TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
SMART
CLASSIFY UNDERSTAND AI / BIG DATA
SENSING
READ FEEL SENSORS
MEDIATED
ALGORITHMIC
MODERATED
USER
BEHAVIOR
USER
CONTENT
DYNAMIC
DESIGN
DYNAMIC
CONTENT
PERSUASIVE
DESIGN
TRIANGLE
CURVE
METRIC
CIRCLES
ARCHITECTURE
SOCIUM
MODERATION
CT
COMPETITION
SL
LEARNING
SC
COMPARISON
CR
COOPERATION
NI
NORMATIVE
SF
FACILITATION
RE
RECOGNITION
INVOLVEMENT
ENGAGEMENT
PARTICIPATION
1
2 3
4
5
6
7
76. Persuasive Backfiring: When Behavior Change
Interventions Trigger Unintended
Negative Outcomes
Agnis Stibe1(&)
and Brian Cugelman2,3
1
MIT Media Lab, Cambridge, MA, USA
agnis@mit.edu
2
Statistical Cybermetrics Research Group,
University of Wolverhampton, Wolverhampton, UK
brian@alterspark.com
3
AlterSpark, Toronto, ON, Canada
2016
77. SELF-
CONTAINED
SELF-
DRIVEN
JANUARY
1st
TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
SMART
CLASSIFY UNDERSTAND AI / BIG DATA
SENSING
READ FEEL SENSORS
MEDIATED
ALGORITHMIC
MODERATED
USER
BEHAVIOR
USER
CONTENT
DYNAMIC
DESIGN
DYNAMIC
CONTENT
PERSUASIVE
DESIGN
TRIANGLE
CURVE
METRIC
CIRCLES
ARCHITECTURE
SOCIUM
MODERATION
ETHICS
CT
COMPETITION
SL
LEARNING
SC
COMPARISON
CR
COOPERATION
NI
NORMATIVE
SF
FACILITATION
RE
RECOGNITION
INVOLVEMENT
ENGAGEMENT
PARTICIPATION
POSITIVENEGATIVE
INTENDED
UNINTENDED
MAJOR MINOR
HIGH
LOW
BACKFIRING
TARGET
SURPRISE
DARK GREY
INVISIBLE
VISIBLE
DARK
1
2 3
4
5
6
7
8