Dialogue Management and Language Generation for a Robust Conversational Virtual Coach: Validation and User Study
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View abstract on PubMed
Summary
This summary is machine-generated.We developed an intelligent Virtual Coach using a Voice-based Spoken Dialogue System (SDS) for complex coaching conversations. This robust system was successfully validated with elderly users across Spain, France, and Norway.
Area Of Science
- Human-Computer Interaction
- Artificial Intelligence
- Computational Linguistics
Background
- Designing interactive systems requires interdisciplinary collaboration.
- Voice-based Spoken Dialogue Systems (SDS) are typically used for simpler tasks.
- Coaching conversations present unique challenges for SDS due to complexity.
Purpose Of The Study
- To develop core modules for a Voice-based Spoken Dialogue System (SDS).
- To create an intelligent and robust Virtual Coach for complex coaching conversations.
- To integrate these modules into a functional and effective system.
Main Methods
- Development of a Dialogue Manager and a Language Generator.
- Implementation of an efficient system integration procedure.
- User study validation with elderly participants in multiple countries.
Main Results
- The developed system successfully functions as a Virtual Coach.
- The system handles challenging, long, and complex coaching conversations.
- Successful validation across three countries (Spain, France, Norway) with diverse users.
Conclusions
- The proposed SDS architecture is effective for advanced coaching applications.
- The Virtual Coach demonstrates robustness and adaptability across different languages and cultures.
- This work advances the capability of SDS in specialized, complex interaction domains.
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