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Designing for Continuous Interaction with Artificial Intelligence Systems

Title data

Wintersberger, Philipp ; van Berkel, Niels ; Fereydooni, Nadia ; Tag, Benjamin ; Glassman, Elena L. ; Buschek, Daniel ; Blandford, Ann ; Michahelles, Florian:
Designing for Continuous Interaction with Artificial Intelligence Systems.
In: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. - New York, NY : Association for Computing Machinery , 2022
ISBN 978-1-4503-9156-6
DOI: https://doi.org/10.1145/3491101.3516409

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Human-AI interaction; AI; continuous interaction; ML; explainability; design guidelines
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 15 Jun 2022 09:30
Last Modified: 15 Jun 2022 09:30
URI: https://eref.uni-bayreuth.de/id/eprint/70107