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Traditionally, the research community has focused on building an SDS for user intention detection and dialog management (DM).
However, for User Intention, previous experience with paper-based medical record and hospitalization or referral was asked in 'Yes' or 'No' as binary variables.
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The author argues that while TAM is a useful model for predicting user's intention to adopt a new technology, incorporating the perceived behavioral control, drawn from Theory of Planned Behavior (see [58] for more details), provides a better explanation for the user intention to adopt new applications and services such as m- commerce.
A data-driven user simulation technique for simulating user intention and utterance is introduced.
The returned results are often unsatisfactory due to their deviation from user intentions, particularly for queries with heterogeneous concepts (such as "apple", "jaguar") or general (non-specific) concepts (such as "landscape", "hotel").
The methodology that we have developed for modelling the user intention extends our previous work in statistical models for dialogue management [46].
This approach has two significant novel features: a fully automatic ontology-based query expansion algorithm for inferring and aggregating user intention based on their original short query, and another "ambiguity removal" procedure for correcting inappropriate user query terms.
What's missing in that new equation is a guiding mechanism for tracking user intentions.
The idea of PNR integrates various AI techniques, namely, user intention recognition, normative reasoning over a user's intention, and planning, execution and replanning for assistive actions.
As in the intention recognizer, the user simulation generates the user intention level, that is, the user simulator provides concepts and attributes that represent the intention of the user utterance.
However, this study gave us the platform for further evaluating users' intention and adoption behavior towards PHR.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com