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Lehmann, Florian ; Buschek, Daniel:
Examining Autocompletion as a Basic Concept for Interaction with Generative AI.
In: i-com : Journal of Interactive Media.
Bd. 19
(2020)
Heft 3
.
- S. 251-264.
ISSN 1618-162X
DOI: https://doi.org/10.1515/icom-2020-0025
Angaben zu Projekten
| Projekttitel: |
Offizieller Projekttitel Projekt-ID AI Tools - Continuous Interaction with Computational Intelligence Tools Ohne Angabe |
|---|---|
| Projektfinanzierung: |
Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst |
Abstract
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.