tech,15-3-P03-1033,bq |
</term>
:
<term>
skill level
</term>
to the
<term>
|
system
|
</term>
,
<term>
knowledge level
</term>
on the
|
#4337
Specifically, we set up three dimensions of user models: skill level to thesystem, knowledge level on the target domain and the degree of hastiness. |
other,13-2-P03-1033,bq |
knowledge
</term>
or typical kinds of
<term>
|
users
|
</term>
, the
<term>
user model
</term>
we propose
|
#4311
Unlike previous studies that focus on user's knowledge or typical kinds ofusers, the user model we propose is more comprehensive. |
model,8-3-P03-1033,bq |
Specifically , we set up three dimensions of
<term>
|
user models
|
</term>
:
<term>
skill level
</term>
to the
<term>
|
#4330
Specifically, we set up three dimensions ofuser models: skill level to the system, knowledge level on the target domain and the degree of hastiness. |
other,27-3-P03-1033,bq |
target domain
</term>
and the degree of
<term>
|
hastiness
|
</term>
. Moreover , the
<term>
models
</term>
|
#4349
Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on the target domain and the degree ofhastiness. |
other,24-7-P03-1033,bq |
the
<term>
dialogue duration
</term>
for
<term>
|
skilled users
|
</term>
. This paper presents an
<term>
unsupervised
|
#4427
Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration forskilled users. |
tech,15-1-P03-1033,bq |
responses
</term>
to each
<term>
user
</term>
in
<term>
|
spoken dialogue systems
|
</term>
. Unlike previous studies that focus
|
#4294
We address appropriate user modeling in order to generate cooperative responses to each user inspoken dialogue systems. |
tech,18-4-P03-1033,bq |
dialogue data
</term>
collected by the
<term>
|
system
|
</term>
. We obtained reasonable
<term>
classification
|
#4369
Moreover, the models are automatically derived by decision tree learning using real dialogue data collected by thesystem. |
other,5-7-P03-1033,bq |
Experimental evaluation shows that the
<term>
|
cooperative responses
|
</term>
adaptive to
<term>
individual users
|
#4408
Experimental evaluation shows that thecooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration for skilled users. |
other,21-3-P03-1033,bq |
<term>
knowledge level
</term>
on the
<term>
|
target domain
|
</term>
and the degree of
<term>
hastiness
</term>
|
#4343
Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on thetarget domain and the degree of hastiness. |
model,3-4-P03-1033,bq |
<term>
hastiness
</term>
. Moreover , the
<term>
|
models
|
</term>
are automatically derived by
<term>
|
#4354
Moreover, themodels are automatically derived by decision tree learning using real dialogue data collected by the system. |
tech,5-6-P03-1033,bq |
Dialogue strategies
</term>
based on the
<term>
|
user modeling
|
</term>
are implemented in
<term>
Kyoto city
|
#4385
Dialogue strategies based on theuser modeling are implemented in Kyoto city bus information system that has been developed at our laboratory. |
other,0-6-P03-1033,bq |
accuracy
</term>
for all dimensions .
<term>
|
Dialogue strategies
|
</term>
based on the
<term>
user modeling
</term>
|
#4380
We obtained reasonable classification accuracy for all dimensions.Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory. |
lr,13-4-P03-1033,bq |
decision tree learning
</term>
using real
<term>
|
dialogue data
|
</term>
collected by the
<term>
system
</term>
|
#4364
Moreover, the models are automatically derived by decision tree learning using realdialogue data collected by the system. |
measure(ment),3-5-P03-1033,bq |
system
</term>
. We obtained reasonable
<term>
|
classification accuracy
|
</term>
for all dimensions .
<term>
Dialogue
|
#4374
We obtained reasonableclassification accuracy for all dimensions. |
other,21-7-P03-1033,bq |
users
</term>
without increasing the
<term>
|
dialogue duration
|
</term>
for
<term>
skilled users
</term>
. This
|
#4424
Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing thedialogue duration for skilled users. |
tech,3-1-P03-1033,bq |
effective . We address appropriate
<term>
|
user modeling
|
</term>
in order to generate
<term>
cooperative
|
#4282
We address appropriateuser modeling in order to generate cooperative responses to each user in spoken dialogue systems. |
other,13-1-P03-1033,bq |
cooperative responses
</term>
to each
<term>
|
user
|
</term>
in
<term>
spoken dialogue systems
</term>
|
#4292
We address appropriate user modeling in order to generate cooperative responses to eachuser in spoken dialogue systems. |
other,17-3-P03-1033,bq |
level
</term>
to the
<term>
system
</term>
,
<term>
|
knowledge level
|
</term>
on the
<term>
target domain
</term>
and
|
#4339
Specifically, we set up three dimensions of user models: skill level to the system,knowledge level on the target domain and the degree of hastiness. |
other,8-2-P03-1033,bq |
studies that focus on
<term>
user
</term>
's
<term>
|
knowledge
|
</term>
or typical kinds of
<term>
users
</term>
|
#4306
Unlike previous studies that focus on user'sknowledge or typical kinds of users, the user model we propose is more comprehensive. |
other,6-2-P03-1033,bq |
Unlike previous studies that focus on
<term>
|
user
|
</term>
's
<term>
knowledge
</term>
or typical
|
#4304
Unlike previous studies that focus onuser's knowledge or typical kinds of users, the user model we propose is more comprehensive. |