1. The document discusses a study analyzing the spatial behaviors of social network service users through the lens of space syntax theory and proxemics. It examines how users navigate between platforms while sharing knowledge and how intimacy and identity dimensions are formed. 2. The study collected data from undergraduate students using cultural probes during activities on Facebook, blogs and Pinterest. It found users form territories through friends lists and privacy settings and visual representations of groups define knowledge sharing structures. 3. Relationships between users were found to depend on characteristics of participants, service types and purposes of groups, varying intimacy levels. Networks develop cognitive architectures using spatial information to achieve goals in a cooperative/competitive dynamic.

1. Virtual Space Syntax Analysis on Pervasive Social
Computing Platforms
: Spatial Oriented Knowledge Sharing Behaviors of
Social Network Service Users!
HCI 2013 “Love Me Tender,” The Soul in Technology
Session : SE4 Design
Hours : 11:20-11:50am Fri. 1st Feb. 2012
Venue : Forrest G, Highone Convention
Heejung Kwon, Ph.D. Candidate
School of Business, Yonsei University

2. 1. Introduction!
• What conditions do we have for Pervasive Computing services
in 2013?
• Service designers for multi-platform applications are
noticing empirical behaviors of users such as;
(1) People follow friends.
(2) People keep moving physically, as well as virtually.
(3) People use/reuse digital information on many different devices/
services/platforms, and all connected.
(4) People prefer reading visuals to reading texts.
(5) People find augmented information unconsciously everywhere.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 2

3. 1. Introduction!
• The conditions led us to address some questions related to service
design and science interests.
– Why do people feel more intimate to human-like entities, or what
properties of subjects let perceivers think they are human-like?
– How does the cognitive attribute affect the new market strategy for
pervasive computing services?
– What will be the measure of abstract psychological distance such as
intimacy in the context of pervasive computing?
• Such questions share the same root of interests of artificial
intelligences, and human behavior complexities in social context.
Human like computer, and collaborative behaviors in network systems
have been long and steady research topics in the common area of
computer science and cognitive science.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 3

4. 2. Theoretical Background!
• Turing[8] asked the question in a very simple manner in
1950. “Can machines think?” By the question, he grounded a
basis of an artificial intelligence research, and developed
an experiment, Turing test, that modified his research
question into a logic game of AI design.
• The recent computation changes may revise his research
question in more emotional aspects. “Can machines feel?” or
“Can users feel machines feel like a mankind?” To elaborate
the idea, the research adopts an anthropologist hypothesis
on spatial intimacy.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 4

5. 2. Theoretical Background!
• Hall[4] suggested the concept of proxemics to clarify the
social distance and personal intimacy relationships.
• Hall evaluated not only the way man interacts with others
in his daily life, but also the organization of space in
his houses and buildings, and ultimately the layout of his
towns.
• His categorization on personal spaces is a useful
instrument to analysis the intimacy of human relationships.
He scaled it by intimate, personal, social, and public
distances in observation of body spacing and postures.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 5

6. 2. Theoretical Background!
Public
Social
Personal
Intimate
Figure 1. Proxemics
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 6

7. App on proxemics !
• Circles from
Facebook Friends
• Psychological
Distance vs.
Physical Distance
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 7

8. 2. Theoretical Background!
Personal
Un-­‐Friend Friend
In#macy
(-­‐) In#macy
(+)
Why & How ?
Human-­‐like
Inhuman eg.
Avatar
Non-­‐Personal
Figure 2. Identity and Intimacy dimensions
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 8

9. 2. Theoretical Background!
• Symbolic communications between human and architectures and urban
environments have been successfully accumulated by Hillier[6,7]
since his first volume on space affordance and languages, “The
social logic of space.”
• Comparing to proxemics, the space syntax hypothesis embraces more
macro level of a social collision and position.
• The spatial language literacy may give us an ability to explain how
non-verbal signifiers of spatial components influence the
participants’ decision in groups and organizations of social
systems.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 9

10. 2. Theoretical Background!
• Space Syntax
– a tool to help
architects simulate the
likely social effects of
their designs.
• Analysis Methods
– Integration
– Choice
– Depth Distance
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 10

11. 3. Research Method!
• In the research it investigates the embedded social computing residents’
“way-finding” behaviors on diversified social network service platforms.
• By the exploratory research methodology and process, it addresses several
research agenda that are reasoning the application of traditional space
syntax architecture theories to the contemporary information architecture
problem solving.
– Do they have signals, symbols, and signs of architectures that help their mobilization,
and settlement?
– Do they have spatial configurations mutually recognized, and have been formed?
– Do they have geographical grids that define their routes, and habitations?
• These research questions will be clarified by observing and analyzing some
highly populated SNSs for embedded computing, such as Facebook, Google+, and
Twitter in cross-media use context.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 11

12. 3. Research Method!
Identity Diffusion
SN LBS/Mashup
Lifelog Services
Services
Blog / Facebook / Foursquare/
Photo Sharing / Twitter/ Path/
Video Sharing Google+ Instagram/
Flipboard/
Pinterest
Figure 4. Identity Diffusion Through the SNS Evolution
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 12

13. 3. Research Method!
• Samples :
– 35 first year undergraduate students who is taking a digital media
design foundation course.
• Study Procedures
– Manito game that simulates gift-giving culture for emotional design
– Life-logging on blog, facebook, and pinterest
• The double framed Cultural Probes technique
– First layer frame : Cultural probes for future oriented design tasks
– Second layer frame : Digital Cultural Probes on Pinterest
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 13

14. Unobtrusive Observation !
Through Double Framed Lenses !
Digital Based Cultural Probes Cultural Probes
SecondFor the Frame
First Layer Frame
Layer Manito Game For Co-Creation
The First Layer Frame
The Second Layer Frame
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 14

15. 3. Research Method!
Curiosity Discovery
Mutual Friends
What friends like
Who follows who
What events friends go
.
.
.
.
Figure 5. Wayfinding to co-create
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 15

16. 4. Findings!
• The flocking conditions of the services are deliberately followed
by third parties’ substances that generate the content of texts,
photos, music, and movies in the manner of co-creation.
• Therefore SN services are becoming more and more dependent upon
third parties, and consist of huge eco-systems of computing
experiences of the next stages.
• The emergent phenomenon alerts the structural changes of computing
environments, user experiences, and their natures in future. From
the notion of the changes, the research embraces the leading SN
services, and the neighbor services providing service substances as
the objects of the research.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 16

17. 5. The Complexity of Cooperation
and Competition!
• Proxemic behaviors among social computing users are varied by the
characteristics of participants, service natures, and purposes of
aggregations.
• In the center of the cognitive mechanism, the research found
circles, friends list, and privacy negotiations with the services.
• They configured the territories and representations of the
information spaces.
• They defined relationship distances or intimacy, visual
representations of self/group identities, and finally knowledge
sharing structures.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 17

18. 5. The Complexity of Cooperation
and Competition!
• Who to co-create with
– The collective behaviors have sensed and have been sensed among the
participants in the manner of IPD(The Iterated prisoner’s dilemma)[1].
R / (1− w ) ≥ T + wP / (1− w )
– TIT FOR TAT is evolutionarily stable if and only if the interactions
between the individuals have a sufficiently large probability of
continuing
• As a result, user agents develop their own cognitive architecture that
will utilize the spatial information, and achieve their usage goals.
HCI Korea 2013 “Love Me Tender,” The Soul in Technology 18

19. REFERENCES!
[1] Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of
Competition and Collaboration, New Jersey: Princeton University Press.
[2] Crysler, C.G. (2003). Writing Spaces : Discourses of Architecture, Urbanism
and the Built Environment, 1960-2000, London:Routledge.
[3] Gibson, J. J. (1986). The Ecological Approach to Visual perception.
Hillsdale, New Jersey: Lawrence Erlbaum Associates.
[4] Hall, E.T. (1969). The Hidden Dimension, New York: Anchor Books.
[5] Hill, J. (2003). Actions of Architecture: Architects, and Creative Users,
London:Routledge.
[6] Hillier, B. & Hanson, J.(1984). The Social Logic of Space,
Cambridge:Cambridge University Press.
[7] Hillier B. (1999), Space is the Machine: A Configurational Theory of
Architecture, Cambridge:Cambridge University Press.
[8] Turing, A.M. (1950). “Computing Machinery and Intelligence,” Mind, New
Series, Vol. 59, Mo. 236., pp. 433-460.
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