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 language | English |
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Title of host publication | CHI Greece 2021: 1st International Conference of the ACM Greek SIGCHI Chapter |
Number of pages | 6 |
Place of Publication | New York, NY, USA |
Publisher | Association for Computing Machinery |
Publication date | 27 Nov 2021 |
Pages | 1-6 |
Article number | 10 |
ISBN (Print) | 9781450385787 |
DOIs | |
Publication status | Published - 27 Nov 2021 |
Event | CHI Greece 2021:1st International Conference of the ACM Greek SIGCHI Chapter - Duration: 25 Nov 2021 → 27 Nov 2021 |
Conference
Conference | CHI Greece 2021:1st International Conference of the ACM Greek SIGCHI Chapter |
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Period | 25/11/2021 → 27/11/2021 |
Keywords
- User Interfaces
- Intelligent assistants
- Human-Computer interaction (HCI)
- Decision Making
- Decision Support Systems
- Artificial Intelligence