220 likes | 366 Views
Does a shared screen make a shared understanding ?. NO. shared understanding. Grounding. WYSIWIS. shared screen shared understanding. Collaborative learning. WHO KILLED MONA-LISA?. Restaurant. Room5. Room6. Room7. Room8. Hans Wenger. Colonel Von Schneider. Lucie Salève.
E N D
shared understanding Grounding WYSIWIS shared screen shared understanding Collaborative learning
WHO KILLED MONA-LISA? Restaurant Room5 Room6 Room7 Room8 Hans Wenger Colonel Von Schneider Lucie Salève Heidi Zeller Note Gun Oylster Kitchen Oscar Salève PhoneLog Marie Salève Private Entrance Lobby Registry Insurance Ski jacket Painting Bar Lisa Jones Claire & Rolf Loretan MLV Jacques Salève Giuzeppe Vesuvio Room1 Room2 Room3 Room4 Gun
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. MOO
> " 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 MOO > compare DN1 with DN2 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
? • How does the whiteboard help to • ground utterances • share solutions
> " 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 • Whiteboard roles: • envisionning solutions • grouding utterances • explanatory schema • deictics • shared memory • regulation MOO Whiteboard
The whiteboard is the central space for sharing information (in this task)
Whiteboard Display Persistent Non-Persistent Knowledge Persistent Non Persistent MOO dialogues
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
Rate of acknowledgment Agreement Understanding Degree of sharedness Facts in talk Inferences in talk Facts in whiteboard Inferences in whiteboard Visibility Acces
.... 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
Note book White board MOO action MOO dialogue Collect facts Share facts Share inferences Store facts Store inferences Coordinate action
Distributed CognitionReconfigurable because distributed Shared despite distrbuted
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