because we are, through the design of the interface, asking
users to provide information that (in some cases) could in
narrower systems be provided automatically via
recognition. We think that this approach is important for
two reasons. First, it leads to immediately useful systems
that can cover a far broader range of domains than today’s
domain-specific multimodal systems. While architectures
such as QuickSet for instance can be set up for a new
domain, doing so requires extensive data collection,
reengineering grammars, and training recognizers, in
addition to whatever hooks are needed to the underlying
application program. For many applications, this cost is
easily justified in terms of the increased fluidity of the
resulting interface. However, for the task of knowledge
capture, these additional requirements are especially
burdensome, since the system designers do not know in
detail what the experts will be telling it in advance. The
second reason is that the sketches we accumulate using
sKEA constitute a conceptually tagged body of timestamped
ink: Exactly the kind of corpus that is necessary
for research into improved visual understanding! Thus we
are gathering the data for future improvements, even while
providing immediate utility.
because we are, through the design of the interface, asking
users to provide information that (in some cases) could in
narrower systems be provided automatically via
recognition. We think that this approach is important for
two reasons. First, it leads to immediately useful systems
that can cover a far broader range of domains than today’s
domain-specific multimodal systems. While architectures
such as QuickSet for instance can be set up for a new
domain, doing so requires extensive data collection,
reengineering grammars, and training recognizers, in
addition to whatever hooks are needed to the underlying
application program. For many applications, this cost is
easily justified in terms of the increased fluidity of the
resulting interface. However, for the task of knowledge
capture, these additional requirements are especially
burdensome, since the system designers do not know in
detail what the experts will be telling it in advance. The
second reason is that the sketches we accumulate using
sKEA constitute a conceptually tagged body of timestamped
ink: Exactly the kind of corpus that is necessary
for research into improved visual understanding! Thus we
are gathering the data for future improvements, even while
providing immediate utility.
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