Publikation: A Domain Specific Modeling Language for...
Stammdaten
Titel: | A Domain Specific Modeling Language for Model-Based Design of Voice User Interfaces |
Untertitel: | |
Kurzfassung: | Designing a voice user interface (VUI) can become more challenging than designing a graphical user interface (GUI). Without visual interaction elements, a user can be less bound to predefined interaction regulations and restrictions. Concrete user requests and system responses in a dialog strongly depend on the initial intention of the user and the user’s utterances during the dialog, to which the voice-based system has to respond. The aim of this paper is to present an intention-oriented approach to the design of VUIs. This is achieved in particular by defining and applying RIML, a domain specific modeling language, which enables VUI designers to create platform-independent inten-tion models. A RIML model includes to which requests a VUI should respond to, what intentions are involved, how the system handles user requests and responses, and what to do in case of misunderstanding or failure. Based on a RIML model, a voice-based system with a model driven architecture is able to communicate flexibly via its VUI with the user. |
Schlagworte: | Domain Specific Modeling Language, Intention Modeling, Active Assistance, Voice User Interface, Voice-Based System |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 07.11.2020 (Online) |
Erschienen in: |
ER Forum, Demo and Posters 2020 co-located with 39th International Conference on Conceptual Modeling (ER 2020)
ER Forum, Demo and Posters 2020 co-located with 39th International Conference on Conceptual Modeling (ER 2020)
(
CEUR Workshop Proceedings (CEUR-WS.org);
J. Michael, V. Torres
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 3 - 16 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 07.11.2020 |
ISBN (e-book): | - |
eISSN: | 1613-0073 |
DOI: | - |
Homepage: | http://ceur-ws.org/Vol-2716/ |
Open Access |
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Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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AT - A-9020 Klagenfurt |
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