Title data
Lehmann, Florian ; Buschek, Daniel:
Examining Autocompletion as a Basic Concept for Interaction with Generative AI.
In: i-com : Journal of Interactive Media.
Vol. 19
(January 2021)
Issue 3
.
- pp. 251-264.
ISSN 1618-162X
DOI: https://doi.org/10.1515/icom-2020-0025
Project information
Project title: |
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Project financing: |
Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst |
Abstract in another language
Autocompletion is an approach that extends and continues partial user input. We propose to interpret autocompletion as a basic interaction concept in human-AI interaction. We first describe the concept of autocompletion and dissect its user interface and interaction elements, using the well-established textual autocompletion in search engines as an example. We then highlight how these elements reoccur in other application domains, such as code completion, GUI sketching, and layouting. This comparison and transfer highlights an inherent role of such intelligent systems to extend and complete user input, in particular useful for designing interactions with and for generative AI. We reflect on and discuss our conceptual analysis of autocompletion to provide inspiration and a conceptual lens on current challenges in designing for human-AI interaction.
Further data
Item Type: | Article in a journal |
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Refereed: | Yes |
Keywords: | Autocompletion; Interaction patterns; Human-AI interaction; User-centred AI |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII > Chair Applied Computer Science VIII - Univ.-Prof. Dr. Jörg Müller |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 21 Jan 2021 09:26 |
Last Modified: | 21 Jan 2021 09:26 |
URI: | https://eref.uni-bayreuth.de/id/eprint/62217 |