How to Support Users in Understanding Intelligent Systems? Structuring the Discussion
January 22, 2020 Β· Declared Dead Β· π International Conference on Intelligent User Interfaces
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Authors
Malin Eiband, Daniel Buschek, Heinrich Hussmann
arXiv ID
2001.08301
Category
cs.HC: Human-Computer Interaction
Citations
30
Venue
International Conference on Intelligent User Interfaces
Last Checked
4 months ago
Abstract
The opaque nature of many intelligent systems violates established usability principles and thus presents a challenge for human-computer interaction. Research in the field therefore highlights the need for transparency, scrutability, intelligibility, interpretability and explainability, among others. While all of these terms carry a vision of supporting users in understanding intelligent systems, the underlying notions and assumptions about users and their interaction with the system often remain unclear. We review the literature in HCI through the lens of implied user questions to synthesise a conceptual framework integrating user mindsets, user involvement, and knowledge outcomes to reveal, differentiate and classify current notions in prior work. This framework aims to resolve conceptual ambiguity in the field and enables researchers to clarify their assumptions and become aware of those made in prior work. We thus hope to advance and structure the dialogue in the HCI research community on supporting users in understanding intelligent systems.
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