How do People Perceive the Role of AI in Human-AI Collaboration to Solve Everyday Tasks?

Eleftherios Papachristos*, Patrick Skov Johansen, Rune Møberg Jacobsen, Lukas Bjørn Leer Bysted, Mikael B. Skov

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

Recent technological advances in Machine Learning and Artificial Intelligence have led to the proliferation of AI-powered decision support systems. This partially explains the HCI research community’s increased interest in investigating how to design systems that will optimise Human-AI collaboration. However, most studies predominately focus on the work environment in which domain experts interact with AI systems to solve relatively well-defined tasks. In this paper, we explore Human AI collaboration involving non-domain experts in the everyday task of waste sorting for recycling. We conducted a study in which 35 participants completed a waste sorting task using Waste Wizard, an AI-infused prototype that we developed. We present the results of our qualitative analysis based on follow-up interviews aiming to understand how our participants perceived the role of the AI system during their collaboration. Our results show four distinct roles (Mirror, Assistant, Guide, and Oracle) that our participants ascribed to the AI system.
Original languageEnglish
Title of host publicationCHI Greece 2021: 1st International Conference of the ACM Greek SIGCHI Chapter
Number of pages6
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Publication date27 Nov 2021
Pages1-6
Article number10
ISBN (Print)9781450385787
DOIs
Publication statusPublished - 27 Nov 2021
EventCHI Greece 2021:1st International Conference of the ACM Greek SIGCHI Chapter -
Duration: 25 Nov 202127 Nov 2021

Conference

ConferenceCHI Greece 2021:1st International Conference of the ACM Greek SIGCHI Chapter
Period25/11/202127/11/2021

Keywords

  • User Interfaces
  • Intelligent assistants
  • Human-Computer interaction (HCI)
  • Decision Making
  • Decision Support Systems
  • Artificial Intelligence

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