- title
- Design pattern for conversational agents handling data-driven requests
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-856390
- conference
- Gemeinschaften in Neuen Medien. Dresden, 06.–07.10.2022
- Source
- Gemeinschaften in Neuen Medien. Digitalität und Diversität. Mit digitaler Transformation Barrieren überwinden!? : 25. Workshop GeNeMe‘22 Gemeinschaften in Neuen Medien
Herausgeber: Thomas Köhler, Eric Schoop, Nina Kahnwald, Ralph Sonntag
Erscheinungsort: Dresden
Verlag: TUDPress
Erscheinungsjahr: 2022
Seiten: 170-181
ISBN: 978-3-95908-241-9 - publication_date
- 2022
- doi
- https://doi.org/10.25368/2023.72
- Abstract (EN)
- The aim of this research project is to identify design principles for the development of CAs. In the context of this thesis, the research questions are: “According to which design principles are Conversational Agents developed?” and “How can these design principles be meaningfully categorized and described?”. For the aggregation of the design principles, the first step was a systematic literature search according to Vom Brocke et al. (2009). The systematic literature review was followed by a qualitative literature analysis according to Kuckartz (2018). The result of this work is the identification of 15 meta-requirements that could be categorised by means of three main categories and a further seven subcategories. This was followed by the declaration of seven design principles based on the subcategories and their meta-requirements.
- Keywords (DE)
- GeNeMe 2022, Gesprächsagenten, Gestaltungsprinzipien, Chatbot, Interaktion
- Keywords (EN)
- GeNeMe 2022, conversational agents, design principles, chatbot, interaction
- Classification (DDC)
- 330
- Classification (RVK)
- QR 760
- Publishing house
- TUDpress - Verlag der Wissenschaften, Dresden
- corporation_other
- Hochschule der Deutschen Gesetzlichen Unfallversicherung (HGU)
- Technische Universität Dresden, Center for Open Digital Innovation and Participation (CODIP)
- Technische Universität Dresden, Fakultät Wirtschaftswissenschaften
- version
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-856390
- Qucosa date of publication
- 31.05.2023
- Document type
- in_proceeding
- Document language
- English
- licence
