Designing for Continuous Interaction with Artificial Intelligence Systems

Philipp Wintersberger, Niels Van Berkel, Nadia Fereydooni, Benjamin Tag, Elena L. Glassman, Daniel Buschek, Ann Blandford, Florian Michahelles

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

4 Citations (Scopus)


The increasing capabilities of Artificial Intelligence enable the support of users in a continuously growing number of applications. Current systems typically dictate that interaction between user input and AI output unfolds in discrete steps, as is the case with, for example, conversational agents. Novel scenarios require AI systems to adapt and respond to continuous user input, e.g., image-guided surgery and AI-supported text entry. In and across these applications, AI systems need to support more varied and dynamic interactions in which users and AI interact continuously and in parallel. Current methods and guidelines are often inadequate and sometimes even detrimental to user needs when considering continuous usage scenarios. Realizing a continuous interaction between users and AI requires a substantial change in perspective when designing Human-AI systems. In this SIG, we support the exchange of cutting-edge research contributing to a better understanding and improved methods and tools to design continuous Human-AI interaction.

Original languageEnglish
Title of host publicationCHI'22 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
EditorsCaroline Appert, David A. Shamma
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages4
ISBN (Electronic)9781450391566
Publication statusPublished - 2022
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2022 - New Orleans, United States of America
Duration: 29 Apr 20225 May 2022
Conference number: 40th (ACM Digital Library - proceedings) (Website) (Extended Abstracts)


ConferenceInternational Conference on Human Factors in Computing Systems 2022
Abbreviated titleCHI 2022
Country/TerritoryUnited States of America
CityNew Orleans
Internet address


  • AI
  • continuous interaction
  • design guidelines
  • explainability
  • Human-AI interaction
  • ML

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