Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making

7 January 2020

Papers citing "Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making"

50 / 80 papers shown

Title
Evaluating LLM Metrics Through Real-World Capabilities Justin K Miller Wenjia Tang ELM ALM 44 0 0 13 May 2025
Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity Shahroz Tariq Ronal Singh Mohan Baruwal Chhetri Surya Nepal Cécile Paris 51 1 0 06 May 2025
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions Federico Maria Cau Lucio Davide Spano 31 0 0 02 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 57 0 0 14 Apr 2025
The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making Takehiro Takayanagi Ryuji Hashimoto Chung-Chi Chen Kiyoshi Izumi 52 0 0 21 Feb 2025
AI-Assisted Decision Making with Human Learning Gali Noti Kate Donahue Jon M. Kleinberg Sigal Oren 131 0 0 18 Feb 2025
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
Citations and Trust in LLM Generated Responses Yifan Ding Matthew Facciani Amrit Poudel Ellen Joyce Salvador Aguiñaga Balaji Veeramani Sanmitra Bhattacharya Tim Weninger HILM 49 3 0 03 Jan 2025
Personalized Help for Optimizing Low-Skilled Users' Strategy Feng Gu Wichayaporn Wongkamjan Jordan Lee Boyd-Graber Jonathan K. Kummerfeld Denis Peskoff Jonathan May 31 0 0 14 Nov 2024
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 153 2 0 30 Oct 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 48 2 0 05 Oct 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 69 28 0 30 Aug 2024
Misfitting With AI: How Blind People Verify and Contest AI Errors Rahaf Alharbi P. Lor Jaylin Herskovitz S. Schoenebeck Robin Brewer 33 10 0 13 Aug 2024
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models Upol Ehsan Mark O. Riedl 28 2 0 09 Aug 2024
Evaluating Human-AI Collaboration: A Review and Methodological Framework George Fragiadakis Christos Diou George Kousiouris Mara Nikolaidou 59 12 0 09 Jul 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments Sören Schleibaum Lu Feng Sarit Kraus Jörg P. Müller 40 2 0 31 May 2024
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design Qian Zhu Dakuo Wang Shuai Ma April Yi Wang Zixin Chen Udayan Khurana Xiaojuan Ma 50 1 0 23 May 2024
Explainability for Transparent Conversational Information-Seeking Weronika Lajewska Damiano Spina Johanne Trippas K. Balog 39 7 0 06 May 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 44 0 0 19 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 29 1 0 06 Apr 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 37 1 0 25 Mar 2024
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 Shuai Ma Xinru Wang Ying Lei Chuhan Shi Ming Yin Xiaojuan Ma 29 24 0 14 Mar 2024
When Should Algorithms Resign? A Proposal for AI Governance Umang Bhatt Holli Sargeant 18 1 0 28 Feb 2024
Operational Collective Intelligence of Humans and Machines Nikolos Gurney Fred Morstatter David Pynadath Adam Russell Gleb Satyukov AI4CE 30 0 0 16 Feb 2024
Overconfident and Unconfident AI Hinder Human-AI Collaboration Jingshu Li Yitian Yang Renwen Zhang Yi-Chieh Lee 40 1 0 12 Feb 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 23 5 0 04 Dec 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 27 6 0 31 Oct 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 38 158 0 02 Jun 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 24 61 0 12 May 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 39 3 0 24 Apr 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 56 10 0 13 Apr 2023
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring Nijat Mehdiyev Maxim Majlatow Peter Fettke 30 2 0 12 Apr 2023
Towards Explainable AI Writing Assistants for Non-native English Speakers Yewon Kim Mina Lee Donghwi Kim Sung-Ju Lee 22 4 0 05 Apr 2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction Patrick Hemmer Monika Westphal Max Schemmer S. Vetter Michael Vossing G. Satzger 52 42 0 16 Mar 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations Max Schemmer Niklas Kühl Carina Benz Andrea Bartos G. Satzger 21 97 0 04 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 23 57 0 01 Feb 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 35 83 0 31 Jan 2023
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 44 104 0 18 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 28 8 0 13 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior Ángel Alexander Cabrera Adam Perer Jason I. Hong 35 34 0 06 Jan 2023
On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions Patrick Ebel Christoph Lingenfelder Andreas Vogelsang FAtt AAML 36 20 0 05 Jan 2023
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning Roberta Galici Tanja Kaser Gianni Fenu Mirko Marras 19 6 0 16 Dec 2022
Painting the black box white: experimental findings from applying XAI to an ECG reading setting F. Cabitza M. Cameli Andrea Campagner Chiara Natali Luca Ronzio 32 9 0 27 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of Explanations Lara Riefle Patrick Hemmer Carina Benz Michael Vossing Jannik Pries 26 5 0 05 Oct 2022
Learning When to Advise Human Decision Makers Gali Noti Yiling Chen 47 15 0 27 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 45 46 0 23 Sep 2022
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making K. Inkpen Shreya Chappidi Keri Mallari Besmira Nushi Divya Ramesh Pietro Michelucci Vani Mandava Libuvse Hannah Vepvrek Gabrielle Quinn 36 45 0 16 Aug 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy Giang Nguyen Mohammad Reza Taesiri Anh Totti Nguyen 30 42 0 26 Jul 2022
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer Philipp Spitzer Niklas Kühl Marc Goutier 28 7 0 01 Jul 2022