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Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating
  Explainable AI Systems

Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems

International Conference on Intelligent User Interfaces (IUI), 2020
22 January 2020
Zana Buçinca
Phoebe Lin
Krzysztof Z. Gajos
Elena L. Glassman
    ELM
ArXiv (abs)PDFHTML

Papers citing "Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems"

50 / 147 papers shown
The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods
The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods
Kevin Iselborn
David Dembinsky
Adriano Lucieri
Andreas Dengel
AAMLFAtt
447
0
0
26 Nov 2025
Closing the Expression Gap in LLM Instructions via Socratic Questioning
Closing the Expression Gap in LLM Instructions via Socratic Questioning
Jianwen Sun
Yukang Feng
Yifan Chang
Chuanhao Li
Zizhen Li
Jiaxin Ai
Fanrui Zhang
Yu Dai
Kaipeng Zhang
136
0
0
31 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
102
0
0
08 Oct 2025
From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system
From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system
Maxime Manderlier
Fabian Lecron
Olivier Vu Thanh
Nicolas Gillis
LRM
159
0
0
23 Sep 2025
Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
Holli Sargeant
Mackenzie Jorgensen
Arina Shah
Adrian Weller
Umang Bhatt
98
0
0
11 Aug 2025
Can AI Explanations Make You Change Your Mind?
Can AI Explanations Make You Change Your Mind?
Laura Spillner
Rachel Ringe
R. Porzel
Rainer Malaka
115
0
0
11 Aug 2025
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions
Courtney Ford
Mark T. Keane
AAML
183
0
0
08 Jul 2025
From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered
From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered
Siddartha Devic
Tejas Srinivasan
Jesse Thomason
Willie Neiswanger
Willie Neiswanger
198
12
0
09 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
329
2
0
15 May 2025
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) DecisionsProceedings of the ACM on Human-Computer Interaction (PACMHCI), 2025
Somayeh Molaei
Lionel P. Robert
Nikola Banovic
208
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
274
2
0
02 May 2025
Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
Audrey Zhang
Yifei Gao
Wannapon Suraworachet
Tanya Nazaretsky
M. Cukurova
313
10
0
15 Apr 2025
AI, Help Me Think$\unicode{x2014}$but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
AI, Help Me Think\unicodex2014\unicode{x2014}\unicodex2014but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive SupportInternational Conference on Human Factors in Computing Systems (CHI), 2025
Leon Reicherts
Z. Zhang
Elisabeth von Oswald
Yuanting Liu
Yvonne Rogers
Mariam Hassib
186
8
0
09 Apr 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
588
27
0
12 Feb 2025
The Value of Information in Human-AI Decision-making
The Value of Information in Human-AI Decision-making
Ziyang Guo
Yifan Wu
Jason D. Hartline
Jessica Hullman
FAtt
703
9
0
10 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
369
1
0
19 Jan 2025
Personalized Help for Optimizing Low-Skilled Users' Strategy
Personalized Help for Optimizing Low-Skilled Users' Strategy
Feng Gu
Wichayaporn Wongkamjan
Jordan Lee Boyd-Graber
Jonathan K. Kummerfeld
Denis Peskoff
Jonathan May
454
0
0
14 Nov 2024
Unexploited Information Value in Human-AI Collaboration
Unexploited Information Value in Human-AI Collaboration
Ziyang Guo
Yifan Wu
Jason D. Hartline
Jessica Hullman
351
1
0
03 Nov 2024
Utilizing Human Behavior Modeling to Manipulate Explanations in
  AI-Assisted Decision Making: The Good, the Bad, and the Scary
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the ScaryNeural Information Processing Systems (NeurIPS), 2024
Zhuoyan Li
Ming Yin
282
7
0
02 Nov 2024
Towards Human-centered Design of Explainable Artificial Intelligence
  (XAI): A Survey of Empirical Studies
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies
Shuai Ma
292
5
0
28 Oct 2024
Evaluating the Influences of Explanation Style on Human-AI Reliance
Evaluating the Influences of Explanation Style on Human-AI Reliance
Emma Casolin
Flora D. Salim
Ben Newell
246
1
0
26 Oct 2024
"I think you need help! Here's why": Understanding the Effect of
  Explanations on Automatic Facial Expression Recognition
"I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression RecognitionAffective Computing and Intelligent Interaction (ACII), 2024
Sanjeev Nahulanthran
Mor Vered
Leimin Tian
Dana Kulić
170
0
0
13 Oct 2024
"ChatGPT, Don't Tell Me What to Do": Designing AI for Context Analysis
  in Humanitarian Frontline Negotiations
"ChatGPT, Don't Tell Me What to Do": Designing AI for Context Analysis in Humanitarian Frontline NegotiationsSymposium on Human-Computer Interaction for Work (CHI4Work), 2024
ZIlin Ma
Yiyang Mei
Claude Bruderlein
Krzysztof Z. Gajos
Weiwei Pan
225
3
0
11 Oct 2024
Give Me a Choice: The Consequences of Restricting Choices Through
  AI-Support for Perceived Autonomy, Motivational Variables, and Decision
  Performance
Give Me a Choice: The Consequences of Restricting Choices Through AI-Support for Perceived Autonomy, Motivational Variables, and Decision Performance
Cedric Faas
Richard Bergs
Sarah Sterz
Markus Langer
Anna Maria Feit
190
4
0
10 Oct 2024
Ensured: Explanations for Decreasing the Epistemic Uncertainty in
  Predictions
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
Helena Lofstrom
Tuwe Löfström
Johan Hallberg Szabadvary
211
1
0
07 Oct 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making SkillsInternational Conference on Human Factors in Computing Systems (CHI), 2024
Zana Buçinca
S. Swaroop
Amanda E. Paluch
Finale Doshi-Velez
Krzysztof Z. Gajos
316
11
0
05 Oct 2024
Aligning Human and LLM Judgments: Insights from EvalAssist on
  Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences
Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy PreferencesACM Symposium on User Interface Software and Technology (UIST), 2024
Zahra Ashktorab
Michael Desmond
Qian Pan
James M. Johnson
Martin Santillan Cooper
Elizabeth M. Daly
Rahul Nair
Tejaswini Pedapati
Swapnaja Achintalwar
Werner Geyer
ELM
287
8
0
01 Oct 2024
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial
  Intelligence Evaluation in Histopathology
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology
Pardis Afshar
Sajjad Hashembeiki
Pouya Khani
Emad Fatemizadeh
M. Rohban
316
5
0
29 Aug 2024
Measuring User Understanding in Dialogue-based XAI Systems
Measuring User Understanding in Dialogue-based XAI SystemsEuropean Conference on Artificial Intelligence (ECAI), 2024
Dimitry Mindlin
A. Robrecht
Michael Morasch
Philipp Cimiano
254
10
0
13 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
359
26
0
27 Jul 2024
Whether to trust: the ML leap of faith
Whether to trust: the ML leap of faith
Tory Frame
Sahraoui Dhelim
George Stothart
E. Coulthard
360
0
0
17 Jul 2024
Explainable AI improves task performance in human-AI collaboration
Explainable AI improves task performance in human-AI collaboration
J. Senoner
Simon Schallmoser
Bernhard Kratzwald
Stefan Feuerriegel
Torbjørn H. Netland
303
49
0
12 Jun 2024
Why is "Problems" Predictive of Positive Sentiment? A Case Study of
  Explaining Unintuitive Features in Sentiment Classification
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification
Jiaming Qu
Jaime Arguello
Yue Wang
FAtt
213
2
0
05 Jun 2024
Participation in the age of foundation models
Participation in the age of foundation models
Harini Suresh
Emily Tseng
Meg Young
Mary L. Gray
Emma Pierson
Karen Levy
357
53
0
29 May 2024
Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still
  Falls Short of the AI Alone
Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone
Catalina Gomez
Ruolin Wang
Katharina Breininger
Corinne Casey
Chris Bradley
Mitchell Pavlak
Alex T Pham
Jithin Yohannan
Mathias Unberath
225
1
0
24 May 2024
Data Science Principles for Interpretable and Explainable AI
Data Science Principles for Interpretable and Explainable AIJournal of Data Science (JDS), 2024
Kris Sankaran
FaML
356
5
0
17 May 2024
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
R. Ajwani
Shashidhar Reddy Javaji
Frank Rudzicz
Zining Zhu
AAML
297
26
0
10 May 2024
Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided
  Visual Analytics
Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided Visual Analytics
Sunwoo Ha
S. Monadjemi
Alvitta Ottley
147
14
0
22 Apr 2024
Just Like Me: The Role of Opinions and Personal Experiences in The
  Perception of Explanations in Subjective Decision-Making
Just Like Me: The Role of Opinions and Personal Experiences in The Perception of Explanations in Subjective Decision-Making
Sharon Ferguson
Paula Akemi Aoyagui
Young-Ho Kim
Anastasia Kuzminykh
113
4
0
19 Apr 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of
  Human and Machine Explanations for Large Language Models
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models
Marvin Pafla
Kate Larson
Mark Hancock
203
7
0
11 Apr 2024
How explainable AI affects human performance: A systematic review of the
  behavioural consequences of saliency maps
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency mapsInternational journal of human computer interactions (IJHCI), 2024
Romy Müller
HAI
262
20
0
03 Apr 2024
Harder, Better, Faster, Stronger: Interactive Visualization for
  Human-Centered AI Tools
Harder, Better, Faster, Stronger: Interactive Visualization for Human-Centered AI Tools
Md. Naimul Hoque
Sungbok Shin
Niklas Elmqvist
199
1
0
02 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
347
49
0
25 Mar 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated:
  A Systematic Survey
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
Thu Nguyen
Alessandro Canossa
Jichen Zhu
191
10
0
21 Mar 2024
Complementarity in Human-AI Collaboration: Concept, Sources, and
  Evidence
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence
Patrick Hemmer
Max Schemmer
Niklas Kühl
Michael Vossing
G. Satzger
328
47
0
21 Mar 2024
LabelAId: Just-in-time AI Interventions for Improving Human Labeling
  Quality and Domain Knowledge in Crowdsourcing Systems
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing SystemsInternational Conference on Human Factors in Computing Systems (CHI), 2024
Chu Li
Zhihan Zhang
Michael Saugstad
Esteban Safranchik
Minchu Kulkarni
Xiaoyu Huang
Shwetak N. Patel
Vikram Iyer
Tim Althoff
Jon E. Froehlich
216
14
0
14 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 MakingInternational Conference on Human Factors in Computing Systems (CHI), 2024
Shuai Ma
Xinru Wang
Ying Lei
Chuhan Shi
Ming Yin
Xiaojuan Ma
244
51
0
14 Mar 2024
Towards Optimizing Human-Centric Objectives in AI-Assisted
  Decision-Making With Offline Reinforcement Learning
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning
Zana Buçinca
S. Swaroop
Amanda E. Paluch
Susan A. Murphy
Krzysztof Z. Gajos
245
18
0
09 Mar 2024
Beyond Recommender: An Exploratory Study of the Effects of Different AI
  Roles in AI-Assisted Decision Making
Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making
Shuai Ma
Chenyi Zhang
Xinru Wang
Xiaojuan Ma
Ming Yin
265
13
0
04 Mar 2024
To Trust or Distrust Trust Measures: Validating Questionnaires for Trust
  in AI
To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
Nicolas Scharowski
S. Perrig
L. Aeschbach
Nick von Felten
Klaus Opwis
Philipp Wintersberger
Florian Brühlmann
174
15
0
01 Mar 2024
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