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Konadl, Daniel

A Generative AI-Based Approach to Support Automated Utterance Generation for Different Conversational Contexts within AAC Systems

Konadl, Daniel (2024) A Generative AI-Based Approach to Support Automated Utterance Generation for Different Conversational Contexts within AAC Systems. In: International Conference on Information Systems (ICIS 2024), 15.12.2024 - 18.12.2024, Bangkok, Thailand.

Veröffentlichungsdatum dieses Volltextes: 14 Okt 2024 09:30
Konferenz- oder Workshop-Beitrag
DOI zum Zitieren dieses Dokuments: 10.5283/epub.59343


Zusammenfassung

To foster their full integration into the mainstream of society, speech-impaired individuals need to be empowered to use vocal language in various daily life situations. AI-based AAC systems enable speech-impaired individuals to generate completed utterances for use in conversations. However, available solutions exhibit remarkable drawbacks. They do not meet all posed requirements and cannot ...

To foster their full integration into the mainstream of society, speech-impaired individuals need to be empowered to use vocal language in various daily life situations. AI-based AAC systems enable speech-impaired individuals to generate completed utterances for use in conversations. However, available solutions exhibit remarkable drawbacks. They do not meet all posed requirements and cannot provide completed sentences that match the expected styles of formal and informal conversational contexts. Therefore, design requirements for a Generative AI-based utterance composition approach were identified. It has been followed design science research to derive design principles and an instantiation of an AAC prototype that enables context-specific and user-individualizable articulation. The artifact was demonstrated and evaluated with formal and informal interactions commonly performed in the daily routine of visiting a restaurant. In particular, the importance of meeting all specific requirements and employing Generative AI, such as ChatGPT-4.0, to generate both formal and informal utterances, is exemplified.


Beteiligte Einrichtungen


Details

DokumentenartKonferenz- oder Workshop-Beitrag (Paper)
DatumDezember 2024
InstitutionenWirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist)
Informatik und Data Science > Fachbereich Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist)
Verwandte URLs
URLURL Typ
https://icis2024.aisconferences.org/Kongress
Stichwörter / KeywordsAugmentative and Alternative Communication, Generative AI, Conversational Contexts, Automated Utterance Composition, Design Science Research
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-593431
Dokumenten-ID59343

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