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2206.10847
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Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
22 June 2022
Q. V. Liao
Yunfeng Zhang
Ronny Luss
Finale Doshi-Velez
Amit Dhurandhar
Re-assign community
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Papers citing
"Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI"
13 / 13 papers shown
Title
Study on the Helpfulness of Explainable Artificial Intelligence
Tobias Labarta
Elizaveta Kulicheva
Ronja Froelian
Christian Geißler
Xenia Melman
Julian von Klitzing
ELM
31
0
0
14 Oct 2024
"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults
Ananya Bhattacharjee
Zichen Gong
Bingcheng Wang
Timothy James Luckcock
Emma Watson
Elena Allica Abellan
Leslie Gutman
Anne S. Hsu
Joseph Jay Williams
16
0
0
26 Apr 2024
Effects of Multimodal Explanations for Autonomous Driving on Driving Performance, Cognitive Load, Expertise, Confidence, and Trust
Robert Kaufman
Jean Costa
Everlyne Kimani
48
7
0
08 Jan 2024
Beyond XAI:Obstacles Towards Responsible AI
Yulu Pi
19
2
0
07 Sep 2023
Situated Natural Language Explanations
Zining Zhu
Hao Jiang
Jingfeng Yang
Sreyashi Nag
Chao Zhang
Jie Huang
Yifan Gao
Frank Rudzicz
Bing Yin
LRM
32
1
0
27 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán
Jeroen Ooge
Denis Parra
K. Verbert
29
5
0
31 Jul 2023
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
Q. V. Liao
Ziang Xiao
ALM
ELM
43
29
0
01 Jun 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
L. Nannini
Agathe Balayn
A. Smith
6
37
0
20 Apr 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
Q. V. Liao
Hariharan Subramonyam
Jennifer Wang
Jennifer Wortman Vaughan
HAI
12
58
0
21 Feb 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
36
103
0
18 Jan 2023
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Upol Ehsan
Mark O. Riedl
XAI
SILM
49
57
0
26 Sep 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
Sérgio Jesus
Catarina Belém
Vladimir Balayan
João Bento
Pedro Saleiro
P. Bizarro
João Gama
126
119
0
21 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
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