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1802.00682
Cited By
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation
2 February 2018
Menaka Narayanan
Emily Chen
Jeffrey He
Been Kim
S. Gershman
Finale Doshi-Velez
FAtt
XAI
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Papers citing
"How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation"
50 / 105 papers shown
Title
VirtualXAI: A User-Centric Framework for Explainability Assessment Leveraging GPT-Generated Personas
Georgios Makridis
Vasileios Koukos
G. Fatouros
D. Kyriazis
77
1
0
06 Mar 2025
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies
Shuai Ma
29
0
0
28 Oct 2024
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing
Daking Rai
Rydia R. Weiland
Kayla Margaret Gabriella Herrera
Tyler H. Shaw
Ziyu Yao
35
1
0
05 Oct 2024
Are Logistic Models Really Interpretable?
Danial Dervovic
Freddy Lecue
Nicolas Marchesotti
Daniele Magazzeni
29
0
0
19 Jun 2024
Incremental XAI: Memorable Understanding of AI with Incremental Explanations
Jessica Y. Bo
Pan Hao
Brian Y Lim
CLL
31
6
0
10 Apr 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
Thu Nguyen
Alessandro Canossa
Jichen Zhu
35
3
0
21 Mar 2024
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
Kacper Sokol
Julia E. Vogt
37
11
0
19 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review
Yongjie Wang
Tong Zhang
Xu Guo
Zhiqi Shen
XAI
21
18
0
15 Mar 2024
Properties and Challenges of LLM-Generated Explanations
Jenny Kunz
Marco Kuhlmann
30
19
0
16 Feb 2024
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors
Nikita Mehandru
Sweta Agrawal
Yimin Xiao
Elaine C. Khoong
Ge Gao
Marine Carpuat
Niloufar Salehi
24
10
0
25 Oct 2023
On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis
Omid Davoodi
Shayan Mohammadizadehsamakosh
Majid Komeili
10
11
0
10 Oct 2023
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
Adarsa Sivaprasad
Ehud Reiter
N. Tintarev
Nir Oren
FAtt
18
4
0
18 Sep 2023
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing
Jinwen He
Kai Chen
Guozhu Meng
Jiangshan Zhang
Congyi Li
FAtt
AAML
35
2
0
09 Sep 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Yanda Chen
Ruiqi Zhong
Narutatsu Ri
Chen Zhao
He He
Jacob Steinhardt
Zhou Yu
Kathleen McKeown
LRM
26
47
0
17 Jul 2023
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health
J. J. Schnur
Nitesh V. Chawla
24
5
0
31 May 2023
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving
Xiao Li
Igor Gilitschenski
Guy Rosman
S. Karaman
Daniela Rus
16
0
0
24 May 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
21
37
0
20 Apr 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
Greta Warren
Markt. Keane
Christophe Guéret
Eoin Delaney
26
13
0
16 Mar 2023
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations
E. Small
Yueqing Xuan
Danula Hettiachchi
Kacper Sokol
23
10
0
02 Mar 2023
The Generalizability of Explanations
Hanxiao Tan
FAtt
18
1
0
23 Feb 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals
Weina Jin
Jianyu Fan
D. Gromala
Philippe Pasquier
Ghassan Hamarneh
28
7
0
10 Feb 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI
Vivian Lai
Yiming Zhang
Chacha Chen
Q. V. Liao
Chenhao Tan
23
43
0
23 Jan 2023
Explanations Can Reduce Overreliance on AI Systems During Decision-Making
Helena Vasconcelos
Matthew Jörke
Madeleine Grunde-McLaughlin
Tobias Gerstenberg
Michael S. Bernstein
Ranjay Krishna
29
164
0
13 Dec 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen
Varshini Subhash
Marton Havasi
Weiwei Pan
Finale Doshi-Velez
XAI
FAtt
33
18
0
10 Nov 2022
Trustworthy Human Computation: A Survey
H. Kashima
S. Oyama
Hiromi Arai
Junichiro Mori
27
0
0
22 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
36
92
0
20 Oct 2022
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability?
Matija Franklin
TDI
23
1
0
05 Oct 2022
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge
Cara L. Widmer
Md Kamruzzaman Sarker
Srikanth Nadella
Joshua L. Fiechter
I. Juvina
B. Minnery
Pascal Hitzler
Joshua Schwartz
M. Raymer
32
7
0
27 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
45
46
0
23 Sep 2022
Computing Abductive Explanations for Boosted Trees
Gilles Audemard
Jean-Marie Lagniez
Pierre Marquis
N. Szczepanski
26
12
0
16 Sep 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
Weina Jin
Jianyu Fan
D. Gromala
Philippe Pasquier
Xiaoxiao Li
Ghassan Hamarneh
23
3
0
18 Aug 2022
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights
Tianshu Feng
Zhipu Zhou
Tarun Joshi
V. Nair
FAtt
20
4
0
12 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAI
FAtt
LRM
26
62
0
29 Jul 2022
The Manifold Hypothesis for Gradient-Based Explanations
Sebastian Bordt
Uddeshya Upadhyay
Zeynep Akata
U. V. Luxburg
FAtt
AAML
25
12
0
15 Jun 2022
A Psychological Theory of Explainability
Scott Cheng-Hsin Yang
Tomas Folke
Patrick Shafto
XAI
FAtt
49
16
0
17 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
Jessica Dai
Sohini Upadhyay
Ulrich Aïvodji
Stephen H. Bach
Himabindu Lakkaraju
40
56
0
15 May 2022
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that?
Marko Tešić
U. Hahn
CML
17
5
0
12 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning
Ulrike Kuhl
André Artelt
Barbara Hammer
35
17
0
06 May 2022
Missingness Bias in Model Debugging
Saachi Jain
Hadi Salman
E. Wong
Pengchuan Zhang
Vibhav Vineet
Sai H. Vemprala
A. Madry
27
37
0
19 Apr 2022
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
Alicia Parrish
H. Trivedi
Ethan Perez
Angelica Chen
Nikita Nangia
Jason Phang
Sam Bowman
17
14
0
11 Apr 2022
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study
Claire Woodcock
Brent Mittelstadt
Dan Busbridge
Grant Blank
12
26
0
27 Feb 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
177
186
0
03 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
28
396
0
20 Jan 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
27
186
0
21 Dec 2021
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System
Helen Jiang
Erwen Senge
25
7
0
02 Dec 2021
Teaching Humans When To Defer to a Classifier via Exemplars
Hussein Mozannar
Arvindmani Satyanarayan
David Sontag
33
43
0
22 Nov 2021
Improving Users' Mental Model with Attention-directed Counterfactual Edits
Kamran Alipour
Arijit Ray
Xiaoyu Lin
Michael Cogswell
J. Schulze
Yi Yao
Giedrius Burachas
OOD
22
9
0
13 Oct 2021
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study
Xuhong Li
Haoyi Xiong
Siyu Huang
Shilei Ji
Dejing Dou
14
10
0
02 Sep 2021
Cases for Explainable Software Systems:Characteristics and Examples
Mersedeh Sadeghi
V. Klös
Andreas Vogelsang
11
16
0
12 Aug 2021
On the Interaction of Belief Bias and Explanations
Ana Valeria González
Anna Rogers
Anders Søgaard
FAtt
20
19
0
29 Jun 2021
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