VisTACO : Visualizing Tabletop Collaboration
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Transcript of VisTACO : Visualizing Tabletop Collaboration
VisTACO: Visualizing Tabletop Collaboration
anthony tang, georgiatechmichel pahud, microsoft researchsheelagh carpendale, university of calgarybill buxton, microsoft research
want: data-driven insightchallenge
is our tabletop system good?
“collaboration” metrics
working together? working independently?
how is space being used?
how does interaction change over time?
challenge
tabletop collaboration is complexchallenge
overview
an analytic framework for tabletop collaboration
vistaco: the first iteration
partial demo
example: distributed tabletop collaboration
toward an analytic tabletop collaboration framework…
what are important factors to study and consider?
spatial aspects of work
» where are people working?
» who works in this space?
analytic tabletop collaboration framework
entities
» what is happening to the objects on the table?
analytic tabletop collaboration framework
entities
» what is happening to the objects on the table?
» what are people doing?
analytic tabletop collaboration framework
entities
» what is happening to the objects on the table?
» what are people doing?
» what is this person doing?
analytic tabletop collaboration framework
temporal
» how does collaboration change over time?
analytic tabletop collaboration framework
summary
spatialglobal vs. local
subjectgroup vs. individual vs. objects
temporalaggregate vs. specific
analytic tabletop collaboration framework
summary
spatial
subject………………………………………..
temporal
analytic tabletop collaboration framework
summaryanalytic tabletop collaboration framework
spatial
subject
temporal
tedious workanalysis as we know it
video data
spatialsubject
temporal
tedious workanalysis as we know it
video data log data
spatialsubject
temporal
VisTACO
feature tourVisTACO
main visualization pane
feature tourVisTACO
main visualization pane
spatialsubject
temporal
feature tourVisTACO
entity selection» people» items» table gestures
spatial selection
spatialsubject
temporal
feature tourVisTACO
entity selection» people» items» table gestures
spatialsubject
temporal
feature tourVisTACO
time selection &playback
spatialsubject
temporal
feature tourVisTACO
time selection &playback
spatialsubject
temporal
feature summary
see traces of users’ toucheshighlight subsets of traces
playback
visualize and compare different conditionsnothing conclusive; but gives you something to
look into
VisTACO
spatialsubject
temporal
“the task”demo
make this... ... with (lots of) these...
cross your fingers…demo
cross your fingers…demo
case study: 3-way collaboration
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systemcase study » 3-way collaboration
study details
logo task: constrained-creativity
24 participants (groups of 3)
90 min sessions
4 trials each: 1 trial per configuration
case study » 3-way collaboration
case study » 3-way collaboration
q: effect of configuration?
» around-the-table configuration
» same-side configuration
case study » 3-way collaboration
q: effect of configuration?
» around-the-table configuration
» same-side configuration
case study » 3-way collaboration
q: effect of configuration?
» around-the-table configuration
» same-side configuration
VisTACO vs. configuration
around-the-table same-side
case study » 3-way collaboration
VisTACO vs. configuration
around-the-table same-side
case study » 3-way collaboration
logo task (no true orientation)
text task (oriented)
select only 10 of these: ...
q: effect of task?case study » 3-way collaboration
make this... ... with (lots of) these...
VisTACO vs. tasks
logo task text task
case study » 3-way collaboration
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VisTACO vs. tasks
logo task text task
case study » 3-way collaboration
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additional considerations
points vs. paths of interaction
Scott et al. (2004)Ryall et al. (2004)
additional considerations
raw vs. semantic classification of interactions
additional considerations
multitouch and user identification
message
visualizations of collaboration data can give us insights that might be otherwise difficult to spot—particularly patterns of interaction
VisTACO is a visualization system that aids the analysis of tabletop collaboration
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there’s a lot going on!challenge
want: data-driven insight
“a lot of centralized interaction”
“storage along the side”
challenge
q: phases of interaction?case study » 3-way collaboration
q: phases of interaction?case study » 3-way collaboration
1st third: sorting/inspecting tiles
q: phases of interaction?case study » 3-way collaboration
2nd third: constructing/searching
q: phases of interaction?case study » 3-way collaboration
last third: fine tuning
infovis to the rescueapproach
2d targeting
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infovis to the rescueapproach
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2d targeting
infovis to the rescueapproach
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“ballistic motion”
2d targeting
infovis to the rescueapproach
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“ballistic motion”
2d targeting
“corrective motion”
infovis to the rescueapproach
Jacob et al. (1994)
infovis to the rescueapproach
Jacob et al. (1994) Scott et al. (2004)
Ryall et al. (2004)