Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations

18 January 2023

Valerie Chen

Q. V. Liao

Jennifer Wortman Vaughan

Gagan Bansal

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Papers citing "Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations"

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Title
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions Federico Maria Cau Lucio Davide Spano 22 0 0 02 May 2025
Why Trust in AI May Be Inevitable Nghi Truong Phanish Puranam Ilia Testlin 31 0 0 28 Feb 2025
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis Zhuoyan Li Hangxiao Zhu Zhuoran Lu Ziang Xiao Ming Yin 47 0 0 17 Feb 2025
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking Greta Warren Irina Shklovski Isabelle Augenstein OffRL 67 4 0 13 Feb 2025
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies Sunnie S. Y. Kim J. Vaughan Q. V. Liao Tania Lombrozo Olga Russakovsky 89 5 0 12 Feb 2025
Personalized Help for Optimizing Low-Skilled Users' Strategy Feng Gu Wichayaporn Wongkamjan Jordan Boyd-Graber Jonathan K. Kummerfeld Denis Peskoff Jonathan May 21 0 0 14 Nov 2024
Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships John Dorsch Maximilian Moll 22 2 0 23 Sep 2024
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration Philipp Spitzer Joshua Holstein Katelyn Morrison Kenneth Holstein Gerhard Satzger Niklas Kühl 19 3 0 19 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 60 26 0 30 Aug 2024
A Survey of AI Reliance S. Eckhardt Niklas Kuhl Mateusz Dolata Gerhard Schwabe 25 1 0 22 Jul 2024
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers Nina Grgić-Hlavca Junaid Ali Krishna P. Gummadi Jennifer Wortman Vaughan 29 1 0 15 Jul 2024
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance Kaitlyn Zhou Jena D. Hwang Xiang Ren Nouha Dziri Dan Jurafsky Maarten Sap 30 3 0 10 Jul 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models Daking Rai Yilun Zhou Shi Feng Abulhair Saparov Ziyu Yao 67 18 0 02 Jul 2024
Modulating Language Model Experiences through Frictions Katherine M. Collins Valerie Chen Ilia Sucholutsky Hannah Rose Kirk Malak Sadek Holli Sargeant Ameet Talwalkar Adrian Weller Umang Bhatt KELM 48 4 0 24 Jun 2024
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification Jiaming Qu Jaime Arguello Yue Wang FAtt 22 0 0 05 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 27 0 0 31 May 2024
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 16 0 0 25 May 2024
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence José Daniel Pascual-Triana Alberto Fernández Javier Del Ser Francisco Herrera 25 1 0 20 May 2024
LLM-Generated Black-box Explanations Can Be Adversarially Helpful R. Ajwani Shashidhar Reddy Javaji Frank Rudzicz Zining Zhu AAML 32 6 0 10 May 2024
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust Sunnie S. Y. Kim Q. V. Liao Mihaela Vorvoreanu Steph Ballard Jennifer Wortman Vaughan 32 49 0 01 May 2024
Towards Human-centered Proactive Conversational Agents Yang Deng Lizi Liao Zhonghua Zheng Grace Hui Yang Tat-Seng Chua LLMAG 24 24 0 19 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 19 0 0 15 Apr 2024
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare Elisa Rubegni Omran Ayoub Stefania Maria Rita Rizzo Marco Barbero G. Bernegger Francesca Faraci Francesca Mangili Emiliano Soldini P. Trimboli Alessandro Facchini 27 1 0 06 Apr 2024
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 16 9 0 09 Mar 2024
Determinants of LLM-assisted Decision-Making Eva Eigner Thorsten Händler 41 44 0 27 Feb 2024
Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence Thao Le Tim Miller L. Sonenberg Ronal Singh 13 3 0 02 Feb 2024
A Decision Theoretic Framework for Measuring AI Reliance Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 21 16 0 27 Jan 2024
Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making Zhuoran Lu Dakuo Wang Ming Yin 23 15 0 13 Jan 2024
Escalation Risks from Language Models in Military and Diplomatic Decision-Making Juan-Pablo Rivera Gabriel Mukobi Anka Reuel Max Lamparth Chandler Smith Jacquelyn G. Schneider 11 34 0 07 Jan 2024
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 9 4 0 04 Dec 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features Navita Goyal Connor Baumler Tin Nguyen Hal Daumé 17 6 0 12 Oct 2023
AXNav: Replaying Accessibility Tests from Natural Language Maryam Taeb Amanda Swearngin E. Schoop Ruijia Cheng Yue Jiang Jeffrey Nichols 13 32 0 03 Oct 2023
Towards Automated Accessibility Report Generation for Mobile Apps Amanda Swearngin Jason Wu Xiaoyi Zhang Esteban Gomez Jen Coughenour ... Bhavya Garg Greg Hughes Adriana Hilliard Jeffrey P. Bigham Jeffrey Nichols 13 9 0 29 Sep 2023
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans Giang Nguyen Valerie Chen Mohammad Reza Taesiri Anh Totti Nguyen 11 4 0 25 Aug 2023
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making Kate Donahue Sreenivas Gollapudi Kostas Kollias 16 3 0 22 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI Ivania Donoso-Guzmán Jeroen Ooge Denis Parra K. Verbert 18 5 0 31 Jul 2023
The Impact of Imperfect XAI on Human-AI Decision-Making Katelyn Morrison Philipp Spitzer Violet Turri Michelle C. Feng Niklas Kühl Adam Perer 20 31 0 25 Jul 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 22 157 0 02 Jun 2023
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems Navita Goyal Eleftheria Briakou Amanda Liu Connor Baumler C. Bonial J. Micher Clare R. Voss Marine Carpuat Hal Daumé 10 8 0 23 May 2023
Capturing Humans' Mental Models of AI: An Item Response Theory Approach Markelle Kelly Aakriti Kumar Padhraic Smyth M. Steyvers 29 13 0 15 May 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 19 61 0 12 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 43 10 0 13 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 34 2 0 30 Mar 2023
Mutual Theory of Mind for Human-AI Communication Qiaosi Wang Ashok K. Goel 14 8 0 07 Oct 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 25 45 0 23 Sep 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 112 0 06 Dec 2021
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens Maia L. Jacobs Jeffrey He Melanie F. Pradier Barbara D. Lam Andrew C Ahn T. McCoy R. Perlis Finale Doshi-Velez Krzysztof Z. Gajos 46 143 0 01 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017