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

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Presentation on theme: "CSCW – Module 2 – Page 1 P. Dillenbourg & N. Nova Module 2 : Analyzing group interactions."— Presentation transcript:

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

2 CSCW – Module 2 – Page 2 P. Dillenbourg & N. Nova Structural Roles Functional Roles

3 CSCW – Module 2 – Page 3 P. Dillenbourg & N. Nova Engineering approachScientific approach Experiments Problems Suggestions Design Improved System Experiment Results Hypothesis Knowledge Experiment CSCW Course Project 2 CSCW Course Project 1 Awareness of changes on light duration Beep if chat input … Prototype- testing cycle Hypothethis testing

4 CSCW – Module 2 – Page 4 P. Dillenbourg & N. Nova 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 Project 1 Report

5 CSCW – Module 2 – Page 5 P. Dillenbourg & N. Nova 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?

6 CSCW – Module 2 – Page 6 P. Dillenbourg & N. Nova Scientific approach Experiment Hypothesis Experiment CSCW Course Project 1 D1: Qualitative analysis of task distribution Log Files Results 30.11.2004

7 CSCW – Module 2 – Page 7 P. Dillenbourg & N. Nova Deliverable 1  30.11.04 Scientific approach Experiment Hypothesis Experiment D1: Qualitative analysis of task distribution Log Files Results Condition S Condition F Pair 1 Pair 2 Pair 3 Pair 4 Pair 5 Pair 6 Explanation & Results

8 CSCW – Module 2 – Page 8 P. Dillenbourg & N. Nova How does a team organize its collaborative process ? Self OrganisationFormal Organisation Descriptive “How do they collaborate?” Prescriptive “How they should collaborate!” WORKFLOWS (module 1) Social Network Analysis ( module 2)

9 CSCW – Module 2 – Page 9 P. Dillenbourg & N. Nova Messages sent PierrePatrick PatrickJean PierreMarc JeanPatrick LucieJean JeanPierre PierreLucie LucieJean JeanLucie LuciePatrick PierrePatrickJeanLucie Marc Pierre01011 Patrick00100 Jean11010 Lucie01200 Marc00000 Row i sent message to column j Simple count of interactions

10 CSCW – Module 2 – Page 10 P. Dillenbourg & N. Nova Messages sent + rating PierrePatrick+ PatrickJean- PierreMarc+ JeanPatrick- LucieJean+ JeanPierre- PierreLucie- LucieJean+ JeanLucie+ LuciePatrick- PierrePatrickJeanLucie Marc Pierre0+10-1+1 Patrick00-100 Jean-1-10+10 Lucie0-1+200 Marc00000 Row i sent message to column j Column j rated message sent by row i Weigthed count of interactions

11 CSCW – Module 2 – Page 11 P. Dillenbourg & N. Nova PierrePatrickJeanLucie Marc Pierre01111 Patrick10000 Jean10000 Lucie10000 Marc10000 Network Graph Pierre Jean Patrick LucieMark PierrePatrickJeanLucie Marc Pierre01001 Patrick10100 Jean01010 Lucie00101 Marc10010 Pierre Jean Patrick Lucie Mark Star Graph Circle Graph

12 CSCW – Module 2 – Page 12 P. Dillenbourg & N. Nova PierrePatrickJeanLucie Marc Pierre01115 Patrick10000 Jean10000 Lucie10000 Marc50000 Network Representations Pierre Jean Patrick LucieMark PierrePatrickJeanLucie Marc Pierre01005 Patrick10100 Jean01010 Lucie00101 Marc50010 Pierre Jean Patrick Lucie Mark Star Graph Circle Graph

13 CSCW – Module 2 – Page 13 P. Dillenbourg & N. Nova PierrePatrickJeanLucie Marc Pierre01115 Patrick10000 Jean10000 Lucie10000 Marc50000 Network Representation Pierre Jean Patrick Lucie Mark PierrePatrickJeanLucie Marc Pierre01005 Patrick10100 Jean01010 Lucie00101 Marc50010 Pierre Jean Patrick Lucie Mark Star Graph Circle Graph

14 CSCW – Module 2 – Page 14 P. Dillenbourg & N. Nova PierrePatrickJeanLucie Marc Pierre01011 Patrick00100 Jean11010 Lucie01200 Marc00000 Row i sent message to column j Simple count of interactions Pierre Patrick Lucie Mark Jean

15 CSCW – Module 2 – Page 15 P. Dillenbourg & N. Nova PierrePatrickJeanLucie Marc Pierre01011 Patrick00100 Jean11010 Lucie01200 Marc00000 Simple count of interactions In-degreeOut-degree Pierre13 Patrick31 Jean33 Lucie23 Marc10 In-degreeOut-degree Isolate00 Transmitter 0>0 Receiver>00 Carrier>0>0 Type of Nodes (Hage & HArary 1983) Centrality index (prestige, proeminence, ….)

16 CSCW – Module 2 – Page 16 P. Dillenbourg & N. Nova Row i sent message to column j Weithed count of interactions Pierre Patrick Lucie Mark Jean PierrePatrickJeanLucie Marc Pierre0+10-1+1 Patrick00-100 Jean-1-10+10 Lucie0-1+200 Marc00000

17 CSCW – Module 2 – Page 17 P. Dillenbourg & N. Nova Specific software: UCINET http://www.analytictech.com/ucinet.htmhttp://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 http://faculty.ucr.edu/~hanneman/SOC157/NETTEXT.PDF

18 CSCW – Module 2 – Page 18 P. Dillenbourg & N. Nova Social interactions data Matrix of distances among individuals (groups) Visual Representation Social Network Analysis Multidimensional Scaling

19 CSCW – Module 2 – Page 19 P. Dillenbourg & N. Nova 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)

20 CSCW – Module 2 – Page 20 P. Dillenbourg & N. Nova Sustaining Collaboration within a Learning Community in Flexible Engineering Education Anh Vu Nguyen, Denis Gillet, Stephane Sire, EPFL http://elearning.epfl.ch/publications/eJournalEdMedia2004.pdf clique

21 CSCW – Module 2 – Page 21 P. Dillenbourg & N. Nova Social interactions data Matrix of distances among individuals (groups) Visual Representation Social Network Analysis Multidimensional Scaling

22 CSCW – Module 2 – Page 22 P. Dillenbourg & N. Nova

23 CSCW – Module 2 – Page 23 P. Dillenbourg & N. Nova Judith Donath, Karrie Karahalios and Fernanda Viégas MIT Media Lab

24 CSCW – Module 2 – Page 24 P. Dillenbourg & N. Nova Social Network Fragments http://smg.media.mit.edu/projects/SocialNetworkFragments friends school world website

25 CSCW – Module 2 – Page 25 P. Dillenbourg & N. Nova TECFA: Visualizing On-Line Communities

26 CSCW – Module 2 – Page 26 P. Dillenbourg & N. Nova Visualizing On-Line Communities

27 CSCW – Module 2 – Page 27 P. Dillenbourg & N. Nova A Model of Human Crowd Behavior: Group Inter- Relationship and Collision Detection Analysis* S. R. Musse and D. Thalmann Computer 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

28 CSCW – Module 2 – Page 28 P. Dillenbourg & N. Nova Visualizing Pairs with SNA?? Pierre Lucie

29 CSCW – Module 2 – Page 29 P. Dillenbourg & N. Nova How does a team organize its collaborative process ? Self OrganisationFormal Organisation Descriptive “How do they collaborate?” Prescriptive “How they should collaborate!” WORKFLOWS (module 1) Social Network Analysis ( module 2)

30 CSCW – Module 2 – Page 30 P. Dillenbourg & N. Nova How does a team organize its collaborative process ? Descriptive “How do they collaborate?” Prescriptive “How they should collaborate!” scale Semi-Structured Communication Interfaces YOUR PROJECT Workflows Social Network Analysis Standards, norms, rules, laws,…. Culture, leadership, social change 2 20 200 2000 20000

31 CSCW – Module 2 – Page 31 P. Dillenbourg & N. Nova Jermann & Dillenbourg (CRAFT EPFL) Group self-regulation: Socio-Cognitive Mirrors

32 CSCW – Module 2 – Page 32 P. Dillenbourg & N. Nova Social interactions data Analysing Task Distribution Visual Representation X tune light L, parameter P X posted message … By hand Simulation LOG FILES

33 CSCW – Module 2 – Page 33 P. Dillenbourg & N. Nova Deliverable 1  30.11.04 Scientific approach Experiment Hypothesis Experiment D1: Qualitative analysis of task distribution Log Files Results Condition S Condition F Pair 1 Pair 2 Pair 3 Pair 4 Pair 5 Pair 6 Explanation & Results

34 CSCW – Module 2 – Page 34 P. Dillenbourg & N. Nova 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 ABCD S1 S2

35 CSCW – Module 2 – Page 35 P. Dillenbourg & N. Nova ABCD Intersections S2 s’occupe de A et B S1 s’occupe de C et D

36 CSCW – Module 2 – Page 36 P. Dillenbourg & N. Nova « Grace »« Dan » Performance Temps Réglages Messages Temp de composition

37 CSCW – Module 2 – Page 37 P. Dillenbourg & N. Nova

38 CSCW – Module 2 – Page 38 P. Dillenbourg & N. Nova Réglages: chaque sujet s’occupe de deux intersections Plans: un sujet planifie les changements concernant toutes les intersections

39 CSCW – Module 2 – Page 39 P. Dillenbourg & N. Nova Part 1. Groupware Analysis 26.10.20041. Coordinating teamwork: Workflows 02.11.20041. Coordinating teamwork: WorkflowsRunning four experiments 09.11.20042. Analyzing group interaction + explaining log files structure 16.11.2004Inferential statistics (P. Jermann) CO172 23.11.2004Building a graphical representations of group interactions  D2: Group representation 30.11.2004 07.12.2004


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