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Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
v1v2v3v4v5 (latest)

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

20 October 2021
Q. V. Liao
R. Varshney
ArXiv (abs)PDFHTML

Papers citing "Human-Centered Explainable AI (XAI): From Algorithms to User Experiences"

50 / 121 papers shown
Title
Towards a Humanized Social-Media Ecosystem: AI-Augmented HCI Design Patterns for Safety, Agency & Well-Being
Towards a Humanized Social-Media Ecosystem: AI-Augmented HCI Design Patterns for Safety, Agency & Well-Being
Mohd Ruhul Ameen
Akif Islam
104
0
0
08 Nov 2025
From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening
From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening
Ratna Kandala
Akshata Kishore Moharir
Divya Arvinda Nayak
93
0
0
10 Oct 2025
Integrating Domain Knowledge into Process Discovery Using Large Language Models
Integrating Domain Knowledge into Process Discovery Using Large Language Models
Ali Norouzifar
Humam Kourani
Marcus Dees
Wil M.P. van der Aalst
72
0
0
08 Oct 2025
Structuring Reasoning for Complex Rules Beyond Flat Representations
Structuring Reasoning for Complex Rules Beyond Flat Representations
Zhihao Yang
Ancheng Xu
Jingpeng Li
Liang Yan
Jiehui Zhou
...
A. Argha
Hamid Alinejad-Rokny
Minghuan Tan
Yujun Cai
Min Yang
LRM
135
0
0
01 Oct 2025
From Sea to System: Exploring User-Centered Explainable AI for Maritime Decision Support
From Sea to System: Exploring User-Centered Explainable AI for Maritime Decision Support
Doreen Jirak
Pieter Maes
Armeen Saroukanoff
Dirk van Rooy
44
0
0
18 Sep 2025
Secure Human Oversight of AI: Exploring the Attack Surface of Human Oversight
Secure Human Oversight of AI: Exploring the Attack Surface of Human Oversight
Jonas C. Ditz
Veronika Lazar
Elmar Lichtmeß
Carola Plesch
Matthias Heck
Kevin Baum
Markus Langer
AAML
158
0
0
15 Sep 2025
GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design
GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment DesignACM Symposium on User Interface Software and Technology (UIST), 2025
Wen-Fan Wang
Ting-Ying Lee
Chien-Ting Lu
Che-Wei Hsu
Nil Ponsa Campany
Yu-Mei Chen
Mike Y. Chen
Bing-Yu Chen
DiffM
147
2
0
21 Aug 2025
Informative Post-Hoc Explanations Only Exist for Simple Functions
Informative Post-Hoc Explanations Only Exist for Simple Functions
Eric Günther
Balázs Szabados
Robi Bhattacharjee
Sebastian Bordt
U. V. Luxburg
FAtt
105
1
0
15 Aug 2025
AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
Hyunjn An
Yongwon Kim
Wonduk Seo
Joonil Park
Daye Kang
Changhoon Oh
Dokyun Kim
Seunghyun Lee
76
0
0
04 Aug 2025
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
Eva Paraschou
Ioannis Arapakis
Sofia Yfantidou
Sebastian Macaluso
Athena Vakali
148
0
0
13 Jun 2025
Evaluating Model Explanations without Ground Truth
Evaluating Model Explanations without Ground TruthConference on Fairness, Accountability and Transparency (FAccT), 2025
Kaivalya Rawal
Zihao Fu
Eoin Delaney
Chris Russell
FAttXAI
285
1
0
15 May 2025
See What I Mean? CUE: A Cognitive Model of Understanding Explanations
See What I Mean? CUE: A Cognitive Model of Understanding Explanations
Tobias Labarta
Nhi Hoang
Katharina Weitz
Wojciech Samek
Sebastian Lapuschkin
Leander Weber
209
0
0
09 May 2025
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
227
2
0
02 May 2025
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning
Integrating Identity-Based Identification against Adaptive Adversaries in Federated LearningIEEE Access (IEEE Access), 2025
Jakub Kacper Szelag
Ji-Jian Chin
Lauren Ansell
Sook-Chin Yip
206
0
0
03 Apr 2025
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage ProfessionalsInternational Conference on Human Factors in Computing Systems (CHI), 2025
Lucy Havens
Benjamin Bach
Melissa Mhairi Terras
Beatrice Alex
291
1
0
01 Apr 2025
Explainable AI-Based Interface System for Weather Forecasting Model
Explainable AI-Based Interface System for Weather Forecasting ModelInteracción (HCII), 2025
Soyeon Kim
Junho Choi
Yeji Choi
Subeen Lee
Artyom Stitsyuk
Minkyoung Park
Seongyeop Jeong
Youhyun Baek
Jaesik Choi
XAI
273
6
0
01 Apr 2025
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-CheckingInternational Conference on Human Factors in Computing Systems (CHI), 2025
Greta Warren
Irina Shklovski
Isabelle Augenstein
OffRL
543
26
0
13 Feb 2025
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and InconsistenciesInternational Conference on Human Factors in Computing Systems (CHI), 2025
Sunnie S. Y. Kim
J. Vaughan
Q. V. Liao
Tania Lombrozo
Olga Russakovsky
490
23
0
12 Feb 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
Chhavi Yadav
Evan Monroe Laufer
Dan Boneh
Kamalika Chaudhuri
463
1
0
06 Feb 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI AssistantInternational Conference on Intelligent User Interfaces (IUI), 2025
Gaole He
Nilay Aishwarya
U. Gadiraju
317
25
0
29 Jan 2025
Beyond SHAP and Anchors: A large-scale experiment on how developers struggle to design meaningful end-user explanations
Beyond SHAP and Anchors: A large-scale experiment on how developers struggle to design meaningful end-user explanations
Zahra Abba Omar
Nadia Nahar
Jacob Tjaden
Inès M. Gilles
Fikir Mekonnen
Jane Hsieh
Jane Hsieh
Christian Kästner
Alka Menon
FaML
212
0
0
28 Jan 2025
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
Gaole He
Patrick Hemmer
Michael Vossing
Max Schemmer
U. Gadiraju
328
1
0
19 Jan 2025
Designing Visual Explanations and Learner Controls to Engage Adolescents
  in AI-Supported Exercise Selection
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise SelectionInternational Conference on Learning Analytics and Knowledge (LAK), 2024
Jeroen Ooge
Arno Vanneste
Maxwell Szymanski
K. Verbert
192
1
0
20 Dec 2024
Challenges in Human-Agent Communication
Challenges in Human-Agent Communication
Gagan Bansal
J. W. Vaughan
Saleema Amershi
Eric Horvitz
Adam Fourney
Hussein Mozannar
Victor C. Dibia
Daniel S. Weld
LLMAGAAMLAI4CE
249
10
0
28 Nov 2024
GPT for Games: An Updated Scoping Review (2020-2024)
GPT for Games: An Updated Scoping Review (2020-2024)IEEE Transactions on Games (IEEE Trans. Games), 2024
Daijin Yang
Erica Kleinman
Casper Harteveld
LLMAGAI4TSAI4CE
512
14
0
01 Nov 2024
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical
  Decision-Support Setting
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support SettingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Maxime Kayser
Bayar I. Menzat
Cornelius Emde
Bogdan Bercean
Alex Novak
Abdala Espinosa
B. Papież
Susanne Gaube
Thomas Lukasiewicz
Oana-Maria Camburu
409
10
0
16 Oct 2024
Explaining Explaining
Explaining Explaining
S. Nirenburg
M. McShane
Kenneth W. Goodman
Sanjay Oruganti
197
0
0
26 Sep 2024
Interactive Example-based Explanations to Improve Health Professionals'
  Onboarding with AI for Human-AI Collaborative Decision Making
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision MakingEuropean Conference on Artificial Intelligence (ECAI), 2024
Min Hun Lee
Renee Bao Xuan Ng
Silvana Xin Yi Choo
S. Thilarajah
215
1
0
24 Sep 2024
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate
  Reliance on AI Systems
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI SystemsACM Conference on Hypertext & Social Media (HT), 2024
Gaole He
Abri Bharos
U. Gadiraju
209
6
0
22 Sep 2024
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine LearningInternational Conference on Human Factors in Computing Systems (CHI), 2024
Robert Kaufman
Emi Lee
Manas Satish Bedmutha
David Kirsh
Nadir Weibel
237
4
0
13 Sep 2024
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems
Sujay Koujalgi
Andrew Anderson
Iyadunni Adenuga
Shikha Soneji
Rupika Dikkala
...
Leo Soccio
Sourav Panda
Rupak Kumar Das
Margaret Burnett
Jonathan Dodge
187
3
0
23 Aug 2024
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of
  Large Language Models
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
Upol Ehsan
Mark O. Riedl
226
7
0
09 Aug 2024
Improving Steering and Verification in AI-Assisted Data Analysis with
  Interactive Task Decomposition
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
Majeed Kazemitabaar
Jack Williams
Ian Drosos
Tovi Grossman
Austin Z. Henley
Carina Negreanu
Advait Sarkar
239
42
0
02 Jul 2024
Transferring Domain Knowledge with (X)AI-Based Learning Systems
Transferring Domain Knowledge with (X)AI-Based Learning Systems
Philipp Spitzer
Niklas Kühl
Marc Goutier
Manuel Kaschura
G. Satzger
172
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0
03 Jun 2024
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
Christine P. Lee
M. Lee
Bilge Mutlu
HAI
213
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26 May 2024
Navigating AI Fallibility: Examining People's Reactions and Perceptions
  of AI after Encountering Personality Misrepresentations
Navigating AI Fallibility: Examining People's Reactions and Perceptions of AI after Encountering Personality Misrepresentations
Qiaosi Wang
Chidimma L. Anyi
V. D. Swain
Ashok K. Goel
179
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0
25 May 2024
Towards a Unified Framework for Evaluating Explanations
Towards a Unified Framework for Evaluating Explanations
Juan D. Pinto
Luc Paquette
271
3
0
22 May 2024
Exploring Subjectivity for more Human-Centric Assessment of Social
  Biases in Large Language Models
Exploring Subjectivity for more Human-Centric Assessment of Social Biases in Large Language Models
Paula Akemi Aoyagui
Sharon Ferguson
Anastasia Kuzminykh
212
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0
17 May 2024
Design Requirements for Human-Centered Graph Neural Network Explanations
Design Requirements for Human-Centered Graph Neural Network Explanations
Pantea Habibi
Peyman Baghershahi
Sourav Medya
Debaleena Chattopadhyay
157
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0
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Fiper: a Visual-based Explanation Combining Rules and Feature Importance
Fiper: a Visual-based Explanation Combining Rules and Feature Importance
Eleonora Cappuccio
D. Fadda
Rosa Lanzilotti
Salvatore Rinzivillo
FAtt
117
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25 Apr 2024
Explaining AI Decisions: Towards Achieving Human-Centered Explainability
  in Smart Home Environments
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
Md. Shajalal
Alexander Boden
Gunnar Stevens
Delong Du
Dean-Robin Kern
179
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23 Apr 2024
Exploring Algorithmic Explainability: Generating Explainable AI Insights
  for Personalized Clinical Decision Support Focused on Cannabis Intoxication
  in Young Adults
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults
Tongze Zhang
Tammy Chung
Anind Dey
Sang Won Bae
198
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22 Apr 2024
Evaluating the Explainability of Attributes and Prototypes for a Medical
  Classification Model
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
184
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Interaction as Explanation: A User Interaction-based Method for
  Explaining Image Classification Models
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models
Hyeonggeun Yun
197
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Incremental XAI: Memorable Understanding of AI with Incremental
  Explanations
Incremental XAI: Memorable Understanding of AI with Incremental ExplanationsInternational Conference on Human Factors in Computing Systems (CHI), 2024
Jessica Y. Bo
Pan Hao
Brian Y Lim
CLL
165
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Explainability in JupyterLab and Beyond: Interactive XAI Systems for
  Integrated and Collaborative Workflows
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows
G. Guo
Dustin L. Arendt
Alex Endert
223
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Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Shuai Ma
Qiaoyi Chen
Xinru Wang
Chengbo Zheng
Zhenhui Peng
Ming Yin
Xiaojuan Ma
ELM
293
42
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(Un)making AI Magic: a Design Taxonomy
(Un)making AI Magic: a Design TaxonomyInternational Conference on Human Factors in Computing Systems (CHI), 2024
M. Lupetti
Dave Murray-Rust
146
23
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How Human-Centered Explainable AI Interface Are Designed and Evaluated:
  A Systematic Survey
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Thu Nguyen
Alessandro Canossa
Jichen Zhu
159
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"Are You Really Sure?" Understanding the Effects of Human
  Self-Confidence Calibration in AI-Assisted Decision Making
"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision MakingInternational Conference on Human Factors in Computing Systems (CHI), 2024
Shuai Ma
Xinru Wang
Ying Lei
Chuhan Shi
Ming Yin
Xiaojuan Ma
204
45
0
14 Mar 2024
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