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dc.contributor.authorLehmann, Florian
dc.contributor.authorBuschek, Daniel
dc.date.accessioned2021-01-17T20:04:30Z
dc.date.available2021-01-17T20:04:30Z
dc.date.issued2021
dc.identifier.issn2196-6826
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/34684
dc.description.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.en
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofi-com: Vol. 19, No. 3
dc.subjectautocompletion
dc.subjectinteraction patterns
dc.subjecthuman-AI interaction
dc.subjectuser-centred AI
dc.titleExamining Autocompletion as a Basic Concept for Interaction with Generative AIen
dc.typeText/Journal Article
dc.pubPlaceBerlin
mci.reference.pages251-264
dc.identifier.doi10.1515/icom-2020-0025


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