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2210.11584
Cited By
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
20 October 2022
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
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Papers citing
"Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations"
47 / 47 papers shown
Title
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
31
0
0
02 May 2025
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
Felix Kares
Timo Speith
Hanwei Zhang
Markus Langer
FAtt
XAI
38
0
0
23 Apr 2025
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality
Jorge de Heuvel
Sebastian Müller
Marlene Wessels
Aftab Akhtar
Christian Bauckhage
Maren Bennewitz
49
0
0
01 Apr 2025
Which LIME should I trust? Concepts, Challenges, and Solutions
Patrick Knab
Sascha Marton
Udo Schlegel
Christian Bartelt
FAtt
40
0
0
31 Mar 2025
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
Wenlong Yu
Qilong Wang
Chuang Liu
Dong Li
Q. Hu
LRM
60
0
0
19 Mar 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Yang Ji
Ying Sun
Hengshu Zhu
46
0
0
17 Mar 2025
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Gregor Baer
Isel Grau
Chao Zhang
Pieter Van Gorp
AAML
48
0
0
24 Feb 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
Gaole He
Nilay Aishwarya
U. Gadiraju
38
6
0
29 Jan 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
Tobias Leemann
Alina Fastowski
Felix Pfeiffer
Gjergji Kasneci
59
4
0
10 Jan 2025
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
Shilin Sun
Wenbin An
Feng Tian
Fang Nan
Qidong Liu
J. Liu
N. Shah
Ping Chen
93
2
0
18 Dec 2024
GPT for Games: An Updated Scoping Review (2020-2024)
Daijin Yang
Erica Kleinman
Casper Harteveld
LLMAG
AI4TS
AI4CE
48
3
0
01 Nov 2024
Evaluating Explanations Through LLMs: Beyond Traditional User Studies
Francesco Bombassei De Bona
Gabriele Dominici
Tim Miller
Marc Langheinrich
M. Gjoreski
22
4
0
23 Oct 2024
shapiq: Shapley Interactions for Machine Learning
Maximilian Muschalik
Hubert Baniecki
Fabian Fumagalli
Patrick Kolpaczki
Barbara Hammer
Eyke Hüllermeier
TDI
27
9
0
02 Oct 2024
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
Elisa Nguyen
Johannes Bertram
Evgenii Kortukov
Jean Y. Song
Seong Joon Oh
TDI
374
2
0
25 Sep 2024
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs
Xiaowei Liu
Kevin McAreavey
Weiru Liu
35
0
0
20 Sep 2024
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty
Teodor Chiaburu
Frank Haußer
Felix Bießmann
30
0
0
10 Sep 2024
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models
Maciej Chrabaszcz
Hubert Baniecki
Piotr Komorowski
Szymon Płotka
Przemysław Biecek
31
1
0
23 Jul 2024
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
Truong Thanh Hung Nguyen
Phuc Truong Loc Nguyen
Hung Cao
24
2
0
16 Jul 2024
Efficient and Accurate Explanation Estimation with Distribution Compression
Hubert Baniecki
Giuseppe Casalicchio
Bernd Bischl
Przemyslaw Biecek
FAtt
46
3
0
26 Jun 2024
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation
Jinbin Huang
Wenbin He
Liang Gou
Liu Ren
Chris Bryan
50
0
0
25 Jun 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers
Lokesh Badisa
Sumohana S. Channappayya
42
0
0
17 Jun 2024
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations
Benjamin Frész
Lena Lörcher
Marco F. Huber
20
1
0
07 Jun 2024
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning
Eura Nofshin
Esther Brown
Brian Lim
Weiwei Pan
Finale Doshi-Velez
40
0
0
31 May 2024
Selective Explanations
Lucas Monteiro Paes
Dennis L. Wei
Flavio du Pin Calmon
FAtt
32
0
0
29 May 2024
Data Science Principles for Interpretable and Explainable AI
Kris Sankaran
FaML
38
0
0
17 May 2024
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features
Yao Rong
David Scheerer
Enkelejda Kasneci
45
0
0
16 May 2024
The Drawback of Insight: Detailed Explanations Can Reduce Agreement with XAI
Sabid Bin Habib Pias
Alicia Freel
Timothy Trammel
Taslima Akter
Donald Williamson
Apu Kapadia
25
2
0
30 Apr 2024
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model
Luisa Gallée
C. Lisson
C. Lisson
Daniela Drees
Felix Weig
D. Vogele
Meinrad Beer
Michael Götz
24
0
0
15 Apr 2024
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps
Romy Müller
HAI
39
6
0
03 Apr 2024
Is my Data in your AI Model? Membership Inference Test with Application to Face Images
Daniel DeAlcala
Aythami Morales
Gonzalo Mancera
Julian Fierrez
Ruben Tolosana
J. Ortega-Garcia
CVBM
26
7
0
14 Feb 2024
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
Logan Cummins
Alexander Sommers
Somayeh Bakhtiari Ramezani
Sudip Mittal
Joseph E. Jabour
Maria Seale
Shahram Rahimi
32
21
0
15 Jan 2024
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Yao Rong
Peizhu Qian
Vaibhav Unhelkar
Enkelejda Kasneci
34
0
0
19 Dec 2023
Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAI
Romy Müller
Marius Thoss
Julian Ullrich
Steffen Seitz
Carsten Knoll
22
3
0
21 Nov 2023
Tell Me a Story! Narrative-Driven XAI with Large Language Models
David Martens
James Hinns
Camille Dams
Mark Vergouwen
Theodoros Evgeniou
13
4
0
29 Sep 2023
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models
Guoyang Liu
Jindi Zhang
Antoni B. Chan
J. H. Hsiao
24
14
0
05 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
289
3,003
0
22 Mar 2023
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Rohan R. Paleja
Muyleng Ghuy
Nadun R. Arachchige
Reed Jensen
Matthew C. Gombolay
70
63
0
08 Sep 2022
A Psychological Theory of Explainability
Scott Cheng-Hsin Yang
Tomas Folke
Patrick Shafto
XAI
FAtt
49
16
0
17 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
355
8,457
0
28 Jan 2022
Human Interpretation of Saliency-based Explanation Over Text
Hendrik Schuff
Alon Jacovi
Heike Adel
Yoav Goldberg
Ngoc Thang Vu
MILM
XAI
FAtt
144
39
0
27 Jan 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
66
114
0
06 Dec 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
Harini Suresh
Kathleen M. Lewis
John Guttag
Arvind Satyanarayan
FAtt
34
25
0
17 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
A. Ross
Nina Chen
Elisa Zhao Hang
Elena L. Glassman
Finale Doshi-Velez
103
49
0
02 Feb 2021
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
Yao Rong
Chao Han
Christian Hellert
Antje Loyal
Enkelejda Kasneci
22
16
0
06 Jan 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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