CSCW – Module 2 – Page 1 P. Dillenbourg & N. Nova Module 2 : Analyzing group interactions.

CSCW – Module 2 – P. Dillenbourg & N. Nova

Module 2 :

Analyzing group interactions


Structural Roles

Functional Roles


Engineering approach Scientific approach

Experiments

Problems

Suggestions

Design

Improved

System

Experiment

Results

Hypothesis

Knowledge

Experiment

CSCW C

ourse

Project 2 CSCW

Course

Project 1

• Awareness of changes on light duration• Beep if chat input•…

Prototype-

testing cycle

Hypothethis

testing


Scientific approach

Experiment

Results

Hypothesis

Experiment

CSCW Course

Project 1

D1: Qualitative analysis of task

distribution

D2: Quantitative comparison of task

performance

D3: Qualitative and quantitative dialogue

analysis

Experimental research covers a

variety of data analysis methods

Log Files

Results Results

Project 1 Report


Scientific approach

Experiment

Hypothesis

Experiment

CSCW Course

Project 1

D2: Quantitative comparison of task

performance

Log Files

Results

Inferential Statistics:

Group A has a performance

7.2% below group B, is that a

real effect or random variation?


Scientific approach

Experiment

Hypothesis

Experiment

CSCW Course

Project 1


distribution

Log Files

Results

30.11.2004


Deliverable 1 30.11.04 Scientific approach

Experiment

Hypothesis

Experiment


distribution

Log Files

Results

Condition SCondition F

Pair 1

Pair 2

Pair 3

Pair 4

Pair 5

Pair 6

Explanation & Results


How does a team organize its collaborative process ?

Self OrganisationFormal Organisation

DescriptiveDescriptive

“How do they collaborate?”

PrescriptivePrescriptive

“How they should collaborate!”

WORKFLOWS

(module 1)

Social Network

Analysis

( module 2)


Messages sent

Pierre Patrick

Patrick Jean

Pierre Marc

Jean Patrick

Lucie Jean

Jean Pierre

Pierre Lucie

Lucie Jean

Jean Lucie

Lucie Patrick

Pierre Patrick Jean Lucie Marc

Pierre 0 1 0 1 1

Patrick 0 0 1 0 0

Jean 1 1 0 1 0

Lucie 0 1 2 0 0

Marc 0 0 0 0 0

Row i sent message to column j

Simple count of interactions


Messages sent + rating

Pierre Patrick +

Patrick Jean -

Pierre Marc +

Jean Patrick -

Lucie Jean +

Jean Pierre -

Pierre Lucie -

Lucie Jean +

Jean Lucie +

Lucie Patrick -


Pierre 0 +1 0 -1 +1

Patrick 0 0 -1 0 0

Jean -1 -1 0 +1 0

Lucie 0 -1 +2 0 0

Marc 0 0 0 0 0

Row i sent message to column jColumn j rated message sent by row i

Weigthed count of interactions



Pierre 0 1 1 1 1

Patrick 1 0 0 0 0

Jean 1 0 0 0 0

Lucie 1 0 0 0 0

Marc 1 0 0 0 0

Network Graph

Pierre

JeanPatrick

Lucie Mark


Pierre 0 1 0 0 1

Patrick 1 0 1 0 0

Jean 0 1 0 1 0

Lucie 0 0 1 0 1

Marc 1 0 0 1 0

Pierre

JeanPatrick

Lucie

Mark

Star Graph

Circle Graph



Pierre 0 1 1 1 5

Patrick 1 0 0 0 0

Jean 1 0 0 0 0

Lucie 1 0 0 0 0

Marc 5 0 0 0 0

Network Representations

Pierre

JeanPatrick

Lucie Mark


Pierre 0 1 0 0 5

Patrick 1 0 1 0 0

Jean 0 1 0 1 0

Lucie 0 0 1 0 1

Marc 5 0 0 1 0

Pierre

JeanPatrick

Lucie

Mark

Star Graph

Circle Graph



Pierre 0 1 1 1 5

Patrick 1 0 0 0 0

Jean 1 0 0 0 0

Lucie 1 0 0 0 0

Marc 5 0 0 0 0

Network Representation

Pierre

JeanPatrick

Lucie

Mark


Pierre 0 1 0 0 5

Patrick 1 0 1 0 0

Jean 0 1 0 1 0

Lucie 0 0 1 0 1

Marc 5 0 0 1 0

Pierre

JeanPatrick

LucieMark

Star Graph

Circle Graph



Pierre 0 1 0 1 1

Patrick 0 0 1 0 0

Jean 1 1 0 1 0

Lucie 0 1 2 0 0

Marc 0 0 0 0 0



Pierre

Patrick

Lucie

Mark

Jean



Pierre 0 1 0 1 1

Patrick 0 0 1 0 0

Jean 1 1 0 1 0

Lucie 0 1 2 0 0

Marc 0 0 0 0 0


In-degree Out-degree

Pierre 1 3

Patrick 3 1

Jean 3 3

Lucie 2 3

Marc 1 0

In-degree Out-degree

Isolate 0 0

Transmitter 0 >0

Receiver >0 0

Carrier >0 >0

Type of Nodes (Hage & HArary 1983)

Centrality index (prestige, proeminence, ….)



Weithed count of interactions

Pierre

Patrick

Lucie

Mark

Jean


Pierre 0 +1 0 -1 +1

Patrick 0 0 -1 0 0

Jean -1 -1 0 +1 0

Lucie 0 -1 +2 0 0

Marc 0 0 0 0 0


Specific software:

UCINET http://www.analytictech.com/ucinet.htm

Plus 100 others http://www.sfu.ca/~insna/INSNA/soft_inf.html

Nice tutorial : http://faculty.ucr.edu/~hanneman/SOC157/NETTEXT.PDF


Social interactions data

Matrix of distances among individuals (groups)

Visual Representation

Social Network Analysis

Multidimensional Scaling







X posted message to Y

X is chatting with Y

Y rates X’s message as value V (reputation systems, roadforum,…)

X would like to spend holidays with Y

X read Y’s blog or journal (EPFL)

X has downloaded Y’s solution

X has borrowed same book as Y

(EPFL)

X has bought same book as Y (amazon)

X has read the same page web as Y (social navigation)


Sustaining Collaboration within a Learning Communityin Flexible Engineering Education

Anh Vu Nguyen, Denis Gillet, Stephane Sire, EPFLhttp://elearning.epfl.ch/publications/eJournalEdMedia2004.pdf

clique


Judith Donath, Karrie Karahalios and Fernanda Viégas

MIT Media Lab


Social Network Fragmentshttp://smg.media.mit.edu/projects/SocialNetworkFragments

friends

school

world

website


TEC

FA:

Vis

ualiz

ing

On

-Lin

e C

om

mu

nit

ies


Visualizing On-Line Communities


A Model of Human Crowd Behavior: Group Inter-Relationship and Collision Detection Analysis*

S. R. Musse and D. ThalmannComputer Graphics Lab (LIG), EPFL

Computer Animation and Simulations '97, Proc. Eurographics workshop, Budapest, Springer

Verlag, Wien 1997, pp. 39-51

http://ligwww.epfl.ch/~thalmann/papers.dir/crowds.pdf


Visualizing Pairs with SNA??

Pierre Lucie



Self OrganisationFormal Organisation





WORKFLOWS

(module 1)

Social Network

Analysis

( module 2)







scal

e

Semi-Structured Communication Interfaces

YOUR PROJECT

Workflows Social Network Analysis

Standards, norms, rules, laws,….

Culture, leadership, social change

2

20

200

2000

20000


Jermann & Dillenbourg (CRAFT EPFL)

Group self-regulation: Socio-Cognitive Mirrors



Analysing Task Distribution


X tune light L, parameter P

X posted message

…By hand

By hand

Simulation LOG FILES


Deliverable 1 30.11.04 Scientific approach

Experiment

Hypothesis

Experiment


distribution

Log Files

Results

Condition SCondition F

Pair 1

Pair 2

Pair 3

Pair 4

Pair 5

Pair 6

Explanation & Results


Tâche: un sujet fait A et B, l’autre fait C et D

Concurrent: les deux sujets font A, B, C et D

Rôle: un sujet fait A, B, C et D

A B C D

S1

S2


A B C D

Intersections S2 s’occupe de A et BS1 s’occupe de C et D


« Grace » « Dan »Performance

Tem

ps

Réglages

Messages

Temp de composition


Réglages: chaque sujets’occupe de deux intersections

Plans: un sujet planifie les changementsconcernant toutes les intersections


Part 1. Groupware Analysis26.10.2004 1. Coordinating teamwork: Workflows

02.11.2004 1. Coordinating teamwork: Workflows Running four experiments

09.11.2004 2. Analyzing group interaction

+ explaining log files structure

16.11.2004 Inferential statistics (P. Jermann)CO172

23.11.2004 Building a graphical representations of group interactions

D2: Group representation

30.11.2004

07.12.2004

CSCW – Module 2 – Page 1 P. Dillenbourg & N. Nova Module 2 : Analyzing group interactions.

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Transcript of CSCW – Module 2 – Page 1 P. Dillenbourg & N. Nova Module 2 : Analyzing group interactions.