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tecfa.unige.ch Does a shared screen make a shared understanding ?

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Presentation on theme: "tecfa.unige.ch Does a shared screen make a shared understanding ?"— Presentation transcript:

1 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch Does a shared screen make a shared understanding ?

2 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch NO

3 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch shared screen shared understanding shared understanding WYSIWIS Collaborative learning Grounding shared understanding

4 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch Restaurant Kitchen Private Bar Room5Room6Room7Room8 Room1Room2Room3Room4 Lobby Entrance MLV Lisa Jones Claire & Rolf Loretan Colonel Von Schneider Lucie SalèveHeidi Zeller Hans Wenger Marie Salève Oscar Salève Jacques Salève Giuzeppe Vesuvio Ski jacket Gun Painting Insurance Note Gun Oylster PhoneLog Registry WHO KILLED MONA-LISA?

5 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch MOO Auberge Guest Room: 4 You enter a largue blue room with a small window. You see Helmut, Ski Jacket, and Gun here. Obvious Exits: Out (to Lower Corridor). > look gun You see an old Swiss army pistol. > ask helmut about last night I stayed at the bar until 9 Pm and then went to bed. > page sherlock Interesting isn't? Sherlock has received your page. He pages « He lies ». Sherlock joins you.

6 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch > " Hi colleague > ' Where are you? > ask MS about last night > look gun > ask MS about last gun > read insurance > read all from DN2 > read Hans from DN2 > compare DN1 with DN2 MOO Whiteboard > " skjhkjh dfsdfsf > ask Helmut about last night > ask MS about mona > look painting > read all from DN1 > read Hans from DN1 > compare DN1 with DN1 MOO Whiteboard 20 pairs

7 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch? How does the whiteboard help to ground utterances share solutions

8 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch

9 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch

10 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch

11 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch Whiteboard roles: envisionning solutions grouding utterances explanatory schema deictics shared memory regulation > " skjhkjh dfsdfsf > ask Helmut about last night > ask MS about mona > look painting > read all from DN1 > read Hans from DN1 > compare DN1 with DN1 MOO Whiteboard

12 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch The whiteboard is the central space for sharing information (in this task)

13 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch PersistentNon-Persistent Persistent Non Persistent Display Knowledge Whiteboard MOO dialogues

14 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch Grounding varies according to problem solving variables

15 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch Acknowlegment in MOO dialogues Rate = 41% (90% in voice experiments) Not related with MOO expertise Not related with interactions parameters symmetry(ack+): 8%= symmetry(ack-): 8% ack (short delay): 41% = ack (long delay): 41%; ack (freq+.talkers): 41%= ack (freq-.talkers): 42%; turnsIC (ack+): 0.9 = turnsIC (ack+): 0.9 Related with problem sloving N. actions (ack+):178 <<.05 N. actions (ack-) : 237 redudancy (ack+): 6 <<.01 redudancy (ack-): 18

16 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch Degree of sharedness Acces Visibility Understanding Agreement Facts in whiteboard Facts in talk Inferences in talk Inferences in whiteboard Rate of acknowledgment

17 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch.... and the subjects: maintain multiple conversational contexts are sensitive to space beyond any functional constraint negotiate across modalities (re-)allocate functions to tools in various ways

18 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch Collect facts Share facts Share inferences Store facts Store inferences Coordinate action MOO dialogue MOO action White board Note book

19 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch Distributed Cognition Reconfigurable because distributed Shared despite distrbuted

20 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch How do agents co- construct culture ?

21 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch WYSIWIS-relaxed+ awareness tools jhk slk hlkjsh lkjhsdl kgjhnbjhb sh rgl hc,cg lkw kjehéeéhlk h jhk slk hlkjsh lkjhsdl kgjhnbjhb sh rgl hc,cg lkw kjehéeéhlk h jhk slk hlkjsh lkjhsdl kgjhnbjhb sh rgl hc,cg lkw kjehéeéhlk h jhk slk hlkjsh lkjhsdl

22 Pierre.Dillenbourg@tecfa.unige.ch, Traum@cs.umd.edu tecfa.unige.ch shared understanding ?


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