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Examining Autocompletion as a Basic Concept for Interaction with Generative AI

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:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

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
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