Making Algorithmic Systems More Meaningfully Transparent for Users Through Visualisation-Reference-Cited by-同舟云学术

Making Algorithmic Systems More Meaningfully Transparent for Users Through Visualisation

Published:2022-06-13 Issue: Volume: Page:
ISSN:
Container-title:Designing Interactive Systems Conference
language:
Short-container-title:

Author:

Schor Bianca G.¹,Singh Jatinder²,Blackwell Alan³

Affiliation:

1. Department of Computer Science and Technology, University of Cambridge, United Kingdom

2. Department of Computer Science & Technology, University of Cambridge, United Kingdom

3. University of Cambridge, United Kingdom

Funder

Trinity College, University of Cambridge

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3532107.3532875

Reference28 articles.

1. Transparency

2. Jeffrey Bardzell . 2009. Interaction Criticism and Aesthetics . Association for Computing Machinery , 2357–2366. Jeffrey Bardzell. 2009. Interaction Criticism and Aesthetics. Association for Computing Machinery, 2357–2366.

3. Jeffrey Bardzell and Shaowen Bardzell. 2008. Interaction criticism: a proposal and framework for a new discipline of HCI. In CHI’08 Extended Abstracts on Human Factors in Computing Systems. 2463–2472. https://doi.org/10.1145/1358628.1358703 Jeffrey Bardzell and Shaowen Bardzell. 2008. Interaction criticism: a proposal and framework for a new discipline of HCI. In CHI’08 Extended Abstracts on Human Factors in Computing Systems. 2463–2472. https://doi.org/10.1145/1358628.1358703

4. A. Barriga , R. Heldal , and A. Rutle . 2018. A Visual Framework for Transparent and Accessible Machine Learning . In Proceedings of the 2018 Designing Technologies to Support Human Problem Solving Conference (DTSHPS ’18) . Lisbon, Portugal, 1–4. http://hdl.handle.net/1773/42857 A. Barriga, R. Heldal, and A. Rutle. 2018. A Visual Framework for Transparent and Accessible Machine Learning. In Proceedings of the 2018 Designing Technologies to Support Human Problem Solving Conference (DTSHPS ’18). Lisbon, Portugal, 1–4. http://hdl.handle.net/1773/42857

5. Umang Bhatt McKane Andrus Adrian Weller and Alice Xiang. 2020. Machine learning explainability for external stakeholders. arXiv preprint arXiv:2007.05408(2020). Umang Bhatt McKane Andrus Adrian Weller and Alice Xiang. 2020. Machine learning explainability for external stakeholders. arXiv preprint arXiv:2007.05408(2020).

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