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How to Support Users in Understanding Intelligent Systems? : Structuring the Discussion

Title data

Eiband, Malin ; Buschek, Daniel ; Hussmann, Heinrich:
How to Support Users in Understanding Intelligent Systems? : Structuring the Discussion.
2021
Event: 26th International Conference on Intelligent User Interfaces , 13.04.2021 - 17.04.2021 , Online (Originally: College Station, Texas, USA).
(Conference item: Conference , Paper )
DOI: https://doi.org/10.1145/3397481.3450694

Official URL: Volltext

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

Abstract in another language

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.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Transparency; Review; Interactive machine learning; Scrutability; Intelligibility; End-user debugging; Interpretability; Accountability;
Intelligent systems; Explainability
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 31 May 2021 09:41
Last Modified: 31 May 2021 10:39
URI: https://eref.uni-bayreuth.de/id/eprint/65523