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Examining Autocompletion as a Basic Concept for Interaction with Generative AI

Examining Autocompletion as a Basic Concept for Interaction with Generative AI AbstractAutocompletion 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png i-com de Gruyter

Examining Autocompletion as a Basic Concept for Interaction with Generative AI

i-com , Volume 19 (3): 14 – Jan 26, 2021

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Publisher
de Gruyter
Copyright
© 2020 Walter de Gruyter GmbH, Berlin/Boston
ISSN
2196-6826
eISSN
2196-6826
DOI
10.1515/icom-2020-0025
Publisher site
See Article on Publisher Site

Abstract

AbstractAutocompletion 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.

Journal

i-comde Gruyter

Published: Jan 26, 2021

Keywords: autocompletion; interaction patterns; human-AI interaction; user-centred AI

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