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dc.contributor.authorLehmann, Florian
dc.contributor.authorBuschek, Daniel
dc.contributor.editorHansen, Christian
dc.contributor.editorNürnberger, Andreas
dc.contributor.editorPreim, Bernhard
dc.date.accessioned2020-08-18T15:19:48Z
dc.date.available2020-08-18T15:19:48Z
dc.date.issued2020
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/33507
dc.description.abstractWith this position paper we propose that autocompletion can be interpreted as a basic interaction concept in the interaction between humans and systems using artificial intelligence (AI). Autocompletion is well known from text input where the system predicts intended user input, e.g. in search engines. In our research on human-AI collaboration we observe parallels to such textual autocompletion but in different application contexts, such as text generation, mock-up generation, and layout solvers. We compare exemplary related work to highlight autocompletion as a reoccurring and reusable interaction concept. We discuss that identifying underlying interaction primitives in user-centered AI can help to inform concrete design solutions for interactions and user interfaces, and could be a starting point for future research in this area.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2020 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectautocompletion
dc.subjectinteraction patterns
dc.subjecthuman-AI interaction
dc.subjectusercentered AI
dc.titleAutocompletion as a Basic Interaction Concept for User-Centered AIen
dc.typeText/Conference Poster
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.conference.sessiontitleMCI-WS02: UCAI 2020: Workshop on User-Centered Artificial Intelligence
mci.conference.locationMagdeburg
mci.conference.date6.-9. September 2020
dc.identifier.doi10.18420/muc2020-ws111-328


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