Wellbeing of everyone can be improved through reshaping and advancing places with seamless digital and socially influencing ubiquitous strategies, thus empowering people to succeed in achieving better lifestyles. By helping people to acquire healthier and resource-efficient everyday routines, more sustainable societies can be created. Oftentimes, engineers and technology developers are unaware of how diversely their innovations are actually going to influence lives of many people. Therefore, it is important to focus on investigating and designing ways how surrounding environments can be reengineered to facilitate societal changes at scale. Novel cyber-physical systems can be developed to facilitate the emergence of socially engaging environments to support entrepreneurship and innovation, reshape routines and behavioral patterns in communities, deploy intelligent outdoor sensing for shifting mobility modes, enhance eco-friendly behaviors through social norms, locate interactive public feedback channels to affect attitudes, involve residents through socially influencing systems, and explore methods for designing healthy neighborhoods. This approach is highly important, as it encompasses transformation of human behavior and public spaces at scale. Ultimately, this work generates refined scientific knowledge on how to digitize wellbeing and guidelines for practical approaches in achieving prosperous societies. More: transforms.me Prof. Agnis Stibe at ESLSCA Business School Paris Transformational Sociotech Design from MIT Media Lab

1. transforms.me
TRANSFORMATIONAL SOCIOTECH DESIGN
Prof. AGNIS STIBE

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

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

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

18. NOT change
SELF-
CONTAINED
ARE changing
SELF-
DRIVEN
WANT to change
JANUARY
1st

19. ATTITUDE
BEHAVIOR
ENVIRONMENT

21. 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

22. ATTITUDE
BEHAVIOR
CITY

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

25. Persuasive Cities for
Sustainable Wellbeing
Dr. Agnis Stibe 25
http://inspiration.goreapparel.com/cycling-to-work/

27. http://www.mobilityweek.eu/

28. https://www.planning.org/blog/blogpost/9103093/http://willrunformargaritas.com/2011/05/bike-to-work-day.html

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

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

33. CT
COMPETITION
SL
LEARNING
SC
COMPARISON
CR
COOPERATION
NI
NORMATIVE
SF
FACILITATION
RE
RECOGNITION

34. 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-
technical contexts often are information systems designed to change behaviors
and attitudes of their users by leveraging powers of social influence, further de-
fined as socially influencing systems (SIS). Drawing upon socio-psychological
theories, this paper initially reviews and presents a typology of relevant social
influence aspects. Following that, it analyzes four partial least squares structural
equation modeling (PLS-SEM) based empirical studies to examine the inter-
connectedness of their social influence aspects. As a result, the analysis pro-
vides grounds for seminal steps towards the development and advancement of a
framework for designing and evaluating socially influencing systems. The main
findings can also deepen understanding of how to effectively harness social in-
fluence for enhanced user engagement in socio-technical environments and
guide persuasive engineering of future socially influencing systems.
Keywords: Socially influencing systems · Framework · Persuasive technology

35. 1174

36. Persuasive Cities for
Sustainable Wellbeing
Dr. Agnis Stibe 36
Matthias Wunsch

37. SENSITIVE
READ FEEL SENSORS

38. SMART
CLASSIFY UNDERSTAND BIG DATA
SENSITIVE
READ FEEL SENSORS

39. PERSUASIVE
CHANGE CARE
SOCIALLY D
INFLUENCING UX
SMART
CLASSIFY UNDERSTAND BIG DATA
SENSITIVE
READ FEEL SENSORS
UX

42. 14
COMPANIES
240
EMPLOYEES
30000
MILES

43. CT (58%)
Competition
RA
Rankings
PD
Public Display
CR (58%)
Cooperation
EN (26%)
Engagement
SF (21%)
Social
facilitation
β = 0.23 **
(.13)
β = 0.27 **
(.14)
β = 0.62 ***
(.45)
β = 0.35 ***
(.16)
β = 0.23 **
(.10)
β = 0.61 *** (.44)
β = 0.32 **
(.13)
β = 0.24 **
(.08)

44. 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 to
human activity, environmental conditions, and market dynamics. Persuasive
urban systems will play an important role in making cities more livable and
resource-efficient by addressing current environmental challenges and enabling
healthier routines. Persuasive cities research aims at improving wellbeing across
societies through applications of socio-psychological theories and their inte-
gration with conceptually new urban designs. This research presents an
ecosystem of future cities, describes three generic groups of people depending
on their susceptibility to persuasive technology, explains the process of defining
behavior change, and provides tools for social engineering of persuasive cities.
Advancing this research is important as it scaffolds scientific knowledge on how
to design persuasive cities and refines guidelines for practical applications in
achieving their emergence.
Keywords: Persuasive technology Á Socially influencing systems Á Wellbeing Á

45. PEOPLE METRIC
BEHAVIOR TODAY
CHANGE FUTURE

47. ML PEOPLE
ON 2/3 FLOORS
#TIMES ELEVATORS
GOTO 2/3 FLOORS
USE
ELEVATORS
100
USE
STAIRS
50

55. 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…

57. Christiana von Hippel

59. COMPUTER – MEDIATED (CME)
FACE–TO–FACE (FTF)
COMPUTER – HUMAN (CHU)
COMPUTER – MODERATED (CMO)
INTERPERSONAL
INFLUENCE
USER
BEHAVIOR
USER
CONTENT
DYNAMIC
DESIGN
DYNAMIC
CONTENT
PERSUASIVE
DESIGN

60. 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
on exploring the concept of persuasion, the present theory-refining study aims
to explain the role of social influence and its distinctive characteristics in the
field of persuasive technology. Based on a list of notable differences, this study
outlines how both persuasion and social influence can be best supported
through computing systems and introduces a notion of computer-moderated in-
fluence, thus extending the influence typology. The novel type of influence
tends to be more salient for socially influencing systems, which informs design-
ers to be mindful when engineering such technologies. The study provides
sharper conceptual representation of key terms in persuasive engineering, drafts
a structured approach for better understanding of the influence typology, and
presents how computers can be moderators of social influence.
Keywords: Influence typology · Computer-moderated · Persuasive technology ·

63. 88%
PEDALED
Michael Lin

64. https://vimeo.com/151414235

65. https://vimeo.com/151414235

66. ATTITUDE
BEHAVIOR
ENVIRONMENT

67. SELF-
CONTAINED
SELF-
DRIVEN
JANUARY
1st
SELF-
DRIVEN
SELF-
CONTAINED
JANUARY
1st

68. POSITIVE
OUTCOME
NEGATIVE
OUTCOME
INTENDED
UNINTENDED
MAJOR
SEVERITY
MINOR
SEVERITY
HIGH
LIKELIHOOD
LOW
LIKELIHOOD
BACKFIRING
DARK
PATTERNS
TARGET
BEHAVIOR
SURPRISE
BEHAVIOR

69. MINOR
SEVERITY
MAJOR
SEVERITY
LOW
LIKELIHOOD
HIGH
LIKELIHOOD
Poor Judgment
Mistailoring
Mistargeting
Misdiagnosing
Misanticipating
Social Psychology
Anti-Modeling
Reverse Norming
Personality Responses
Defiance Arousing
Self-Licensing
Fineprint Fallacy
Overemphasizing
Inexperience
Superficializing
Credibility Damage
Self-Discrediting
Message Hijacking

72. 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
Abstract. Numerous scholars study how to design evidence-based interven-
tions that can improve the lives of individuals, in a way that also brings social
benefits. However, within the behavioral sciences in general, and the persuasive
technology field specifically, scholars rarely focus-on, or report the negative
outcomes of behavior change interventions, and possibly fewer report a special
type of negative outcome, a backfire. This paper has been authored to start a
wider discussion within the scientific community on intervention backfiring.
Within this paper, we provide tools to aid academics in the study of persuasive
backfiring, present a taxonomy of backfiring causes, and provide an analytical
framework containing the intention-outcome and likelihood-severity matrices.
To increase knowledge on how to mitigate the negative impact of intervention
backfiring, we discuss research and practitioner implications.

74. 421 3 5 6 87
109 11 12 13 14

75. Roadmap for Autonomous Cities: Sustainable Transformation of Urban Spaces
Roadmap for Autonomous Cities:
Sustainable Transformation of Urban Spaces
Full Paper
Ariel Noyman
MIT Media Lab
noyman@mit.edu
Agnis Stibe
MIT Media Lab
agnis@mit.edu
Kent Larson
MIT Media Lab
kll@mit.edu
Abstract
Despite the inherent relationship between cars and their physical urban surroundings, many cities are
hesitant to embrace the impact of autonomous mobility on urban design. Industry leaders envision
autonomous vehicles soon penetrating global markets, although the relationship between autonomous
vehicles and their urban context has been poorly discussed. Witnessing rapid technological advancement
and tardiness of city planning and execution, the proposed research diverts discourse from intrinsic
technology of autonomous vehicles to their impact on urban design. This paper offers a review of
historical cars-oriented design and the global surrender to car-culture in the past century. Then, it
elaborates on different autonomous technologies and their potential impact on urban form. Furthermore,
it shares plural plausible future perspectives to initiate a discussion on tangible implications of
autonomous vehicles on contemporary cities. Ultimately, this research suggests a preliminary roadmap to
the way autonomous mobility might be incorporated within new and existing cities.
Keywords

76. Djurgården 2
Advice
Accenture Latvia Magazine | Issue 5 | May 2017
Advicefrom
AgnisStibe,
Transformational
Designer
Nowadays, there are experts in technology, experts in sensors, Thus, for machines to be able to resemble anything similar
Thepurpose
ofinnovationsArtificial 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

77. transforms.me