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

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

20 October 2021
Q. V. Liao
R. Varshney
ArXivPDFHTML

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

41 / 41 papers shown
Title
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
31
0
0
02 May 2025
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning
Jakub Kacper Szelag
Ji-Jian Chin
Lauren Ansell
Sook-Chin Yip
31
0
0
03 Apr 2025
Explainable AI-Based Interface System for Weather Forecasting Model
Explainable AI-Based Interface System for Weather Forecasting Model
Soyeon Kim
Junho Choi
Yeji Choi
Subeen Lee
Artyom Stitsyuk
Minkyoung Park
Seongyeop Jeong
Youhyun Baek
Jaesik Choi
XAI
48
2
0
01 Apr 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
91
0
0
06 Feb 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
45
0
0
19 Jan 2025
GPT for Games: An Updated Scoping Review (2020-2024)
GPT for Games: An Updated Scoping Review (2020-2024)
Daijin Yang
Erica Kleinman
Casper Harteveld
LLMAG
AI4TS
AI4CE
48
3
0
01 Nov 2024
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 Making
Min Hun Lee
Renee Bao Xuan Ng
Silvana Xin Yi Choo
S. Thilarajah
26
0
0
24 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 Learning
Robert Kaufman
Emi Lee
Manas Satish Bedmutha
David Kirsh
Nadir Weibel
51
1
0
13 Sep 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
25
2
0
09 Aug 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
50
0
0
17 May 2024
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
27
1
0
25 Apr 2024
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
26
20
0
25 Mar 2024
"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 Making
Shuai Ma
Xinru Wang
Ying Lei
Chuhan Shi
Ming Yin
Xiaojuan Ma
29
24
0
14 Mar 2024
What is the focus of XAI in UI design? Prioritizing UI design principles
  for enhancing XAI user experience
What is the focus of XAI in UI design? Prioritizing UI design principles for enhancing XAI user experience
Dian Lei
Yao He
Jianyou Zeng
34
1
0
21 Feb 2024
Towards a Non-Ideal Methodological Framework for Responsible ML
Towards a Non-Ideal Methodological Framework for Responsible ML
Ramaravind Kommiya Mothilal
Shion Guha
Syed Ishtiaque Ahmed
42
7
0
20 Jan 2024
Unpacking Human-AI interactions: From interaction primitives to a design
  space
Unpacking Human-AI interactions: From interaction primitives to a design space
Konstantinos Tsiakas
Dave Murray-Rust
24
3
0
10 Jan 2024
I-CEE: Tailoring Explanations of Image Classification Models to User
  Expertise
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
Trust, distrust, and appropriate reliance in (X)AI: a survey of
  empirical evaluation of user trust
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust
Roel W. Visser
Tobias M. Peters
Ingrid Scharlau
Barbara Hammer
21
5
0
04 Dec 2023
Towards a Comprehensive Human-Centred Evaluation Framework for
  Explainable AI
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán
Jeroen Ooge
Denis Parra
K. Verbert
45
6
0
31 Jul 2023
Interactive Explanation with Varying Level of Details in an Explainable
  Scientific Literature Recommender System
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System
Mouadh Guesmi
Mohamed Amine Chatti
Shoeb Joarder
Qurat Ul Ain
R. Alatrash
Clara Siepmann
Tannaz Vahidi
11
9
0
09 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. V. Liao
J. Vaughan
36
158
0
02 Jun 2023
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
Q. V. Liao
Ziang Xiao
ALM
ELM
43
29
0
01 Jun 2023
Technical Understanding from IML Hands-on Experience: A Study through a
  Public Event for Science Museum Visitors
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors
Wataru Kawabe
Yuri Nakao
Akihisa Shitara
Yusuke Sugano
26
1
0
10 May 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical
  Study
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study
L. Herm
15
22
0
18 Apr 2023
Designerly Understanding: Information Needs for Model Transparency to
  Support Design Ideation for AI-Powered User Experience
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
33
58
0
21 Feb 2023
Understanding the Role of Human Intuition on Reliance in Human-AI
  Decision-Making with Explanations
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
38
104
0
18 Jan 2023
Context-dependent Explainability and Contestability for Trustworthy
  Medical Artificial Intelligence: Misclassification Identification of
  Morbidity Recognition Models in Preterm Infants
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants
Isil Guzey
Ozlem Ucar
N. A. Çiftdemir
B. Acunaş
23
1
0
17 Dec 2022
Towards Better User Requirements: How to Involve Human Participants in
  XAI Research
Towards Better User Requirements: How to Involve Human Participants in XAI Research
Thu Nguyen
Jichen Zhu
26
3
0
06 Dec 2022
Explainable Artificial Intelligence: Precepts, Methods, and
  Opportunities for Research in Construction
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
Peter E. D. Love
Weili Fang
J. Matthews
Stuart Porter
Hanbin Luo
L. Ding
XAI
29
7
0
12 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
30
32
0
24 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of
  Explanations
On the Influence of Cognitive Styles on Users' Understanding of Explanations
Lara Riefle
Patrick Hemmer
Carina Benz
Michael Vossing
Jannik Pries
18
5
0
05 Oct 2022
Explainable Artificial Intelligence Applications in Cyber Security:
  State-of-the-Art in Research
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang
H. A. Hamadi
Ernesto Damiani
C. Yeun
Fatma Taher
AAML
29
148
0
31 Aug 2022
Beware the Rationalization Trap! When Language Model Explainability
  Diverges from our Mental Models of Language
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language
R. Sevastjanova
Mennatallah El-Assady
LRM
35
9
0
14 Jul 2022
Mediators: Conversational Agents Explaining NLP Model Behavior
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus
A. Ravichandran
Sebastian Möller
30
16
0
13 Jun 2022
A Design Space for Explainable Ranking and Ranking Models
A Design Space for Explainable Ranking and Ranking Models
I. A. Hazwani
J. Schmid
M. Sachdeva
J. Bernard
XAI
26
3
0
27 May 2022
Designing for Responsible Trust in AI Systems: A Communication
  Perspective
Designing for Responsible Trust in AI Systems: A Communication Perspective
Q. V. Liao
S. Sundar
22
99
0
29 Apr 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial
  Contexts
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts
Sebastian Bordt
Michèle Finck
Eric Raidl
U. V. Luxburg
AILaw
31
77
0
25 Jan 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations
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
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Upol Ehsan
Mark O. Riedl
XAI
SILM
59
58
0
26 Sep 2021
From Human Explanation to Model Interpretability: A Framework Based on
  Weight of Evidence
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence
David Alvarez-Melis
Harmanpreet Kaur
Hal Daumé
Hanna M. Wallach
Jennifer Wortman Vaughan
FAtt
51
27
0
27 Apr 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
1