Explanations Can Reduce Overreliance on AI Systems During Decision-Making

Vasconcelos, Helena, Jörke, Matthew, Grunde-McLaughlin, Madeleine, Gerstenberg, Tobias, Bernstein, Michael S., Krishna, Ranjay·2023·Proceedings of the ACM on Human-Computer Interaction

DOI 10.1145/3579605

Cited by (375)

Items 101–200 of 375

Cognitive Impacts of Explainable AI in Cybersecurity Incident Response: Challenges and Propositions
Chen Zhong, Alper Yayla · 2025 · Information Systems Frontiers
A topological exploration of convergence/divergence of human‐mediated and algorithmically mediated pedagogy
Keith Turvey, Norbert Pachler · 2025 · British Journal of Educational Technology
Minimum levels of interpretability for artificial moral agents
Avish Vijayaraghavan, Cosmin Badea · 2024 · AI and Ethics
Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
Zeyu He, Saniya Naphade, Ting-Hao Huang · 2025 · CHI Conference on Human Factors in Computing Systems
The Influence of Curiosity Traits and On-Demand Explanations in AI-Assisted Decision-Making
Federico Maria Cau, Lucio Davide Spano · 2025 · ACM International Conference on Intelligent User Interfaces (IUI)
Exploring Persuasive Engagement to Reduce Over-Reliance on AI-Assistance in a Customer Classification Case
Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis · 2025 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support
Federico Cabitza, Andrea Campagner, Caterina Fregosi, Matteo Cameli, Enrico Gallazzi, Luca Maria Sconfienza, Gian Eugenio Tontini · 2025 · Proceedings of the ACM on Human-Computer Interaction
A Survey of Bias and Fairness in Healthcare AI
Ibomoiye Domor Mienye, George Obaido, Ikiomoye Douglas Emmanuel, Ayodeji Akeem Ajani · 2024 · IEEE International Conference on Healthcare Informatics (ICHI)
Majority voting of doctors improves appropriateness of AI reliance in pathology
Hongyan Gu, Chunxu Yang, Shino Magaki, Neda Zarrin‐Khameh, Nelli S. Lakis, Inma Cobos, Négar Khanlou, Xinhai R. Zhang, Jasmeet Sunny Assi, Joshua T. Byers et al. · 2024 · International Journal of Human-Computer Studies
What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence
Robert P. Kaufman, Aaron Broukhim, David Kirsh, Nadir Weibel · 2025 · CHI Conference on Human Factors in Computing Systems
Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance
Jaroslaw Kornowicz, Kirsten Thommes · 2025 · PLoS ONE
The Effect of Workload and Task Priority on Multitasking Performance and Reliance on Level 1 Explainable AI (XAI) Use
Jawad Alami, Mohamad El Iskandarani, Sara L. Riggs · 2025 · Human Factors The Journal of the Human Factors and Ergonomics Society
Towards Effective Human Intervention in Algorithmic Decision-Making: Understanding the Effect of Decision-Makers' Configuration on Decision-Subjects' Fairness Perceptions
Mireia Yurrita, Himanshu Verma, Agathe Balayn, Ujwal Gadiraju, Sylvia Cornelia Pont, Alessandro Bozzon · 2025 · CHI Conference on Human Factors in Computing Systems
The balance between artificial and human intelligence in clinical practice
Domenico Marrella, Turkka Anttila, Jorma Ryhänen, Robert Miller, Bo Liu, Philippe André Liverneaux · 2026 · Journal of Hand Surgery (European Volume)
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
Michael Schlichtkrull, Nedjma Djouhra Ousidhoum, Andreas Vlachos · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
Practising Appropriate Trust in Human-Centred AI Design
Chadha Degachi, Siddharth Mehrotra, Mireia Yurrita, Evangelos Niforatos, Myrthe Lotte Tielman · 2024 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
On the Role of Large Language Models in Crowdsourcing Misinformation Assessment
Jiechen Xu, Lei Han, Shazia Wasim Sadiq, Gianluca Demartini · 2024 · Proceedings of the International AAAI Conference on Web and Social Media
Understanding the User Perception and Experience of Interactive Algorithmic Recourse Customization
Seunghun Koh, Byung Hyung Kim, Sungho Jo · 2024 · ACM Transactions on Computer-Human Interaction
You Can Only Verify When You Know the Answer: Feature-Based Explanations Reduce Overreliance on AI for Easy Decisions, but Not for Hard Ones
Zhang, Zelun Tony, Buchner, Felicitas, Liu, Yuanting, Butz, Andreas · 2024 · Proceedings of Mensch und Computer 2024
Towards Understanding Persuasive and Personalized Engagement for Human-AI Reliance
Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis · 2025 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
ChatGPT in academic assessments: upholding integrity
Adam Finkel-Gates · 2025 · Journal of Learning Development in Higher Education
An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness
Caroline König, Pedro Copado, Alfredo Vellido, Àngela Nebot B, Cecilio Ángulo, María Lamarca, Vanessa Acuña P., Fabrice Sébastien Berna, Steffen Moritz, Łukasz Gawęda et al. · 2025 · Computational and Structural Biotechnology Journal
Who is Responsible, the Advisor or the AI? Understanding the Effects of Advisors Disclosing Their AI Use on Their Perceived Responsibility and AI Reliance
Tamir Mendel, Soumik Mandal, Oded Nov, Batia Mishan Wiesenfeld · 2025 · Proceedings of the ACM on Human-Computer Interaction
WorkAI: A Toolkit for the Design of AI-driven Future of Work
Shadan Sadeghian, Miglė Bareikytė, Marcus Burkhardt, Marc Hassenzahl · 2025 · Proceedings of the ACM on Human-Computer Interaction
'The AI is uncertain, so am I. What now?': Navigating Shortcomings of Uncertainty Representations in Human-AI Collaboration with Capability-focused Guidance
U. Schäfer, Lars Sipos, C. Müller-Birn · 2025 · Proc. ACM Hum. Comput. Interact.
Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC
Cynthia Zastudil, Christine Holyfield, Christine Kapp, Kate Hamilton, Kriti Baru, Liam Newsam, June A. Smith, Stephen MacNeil · 2025 · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)
Built environment digital twin as mediator of shared space: Balancing personal preferences and group decision making
Kate Sangwon Lee, Kate Sangwon Lee, Iqbal Shah · 2025 · Building and Environment
Do people appropriately rely on AI-advice? An analytical review of HCI research on human-AI decision-making.
Raees, Muhammad, Khan, Vassilis-Javed, Lykourentzou, Ioanna, Papangelis, Konstantinos · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Opening the black box: Operational principles, tools and frameworks that advance explainable artificial intelligence (XAI) models
Mark Anthony Camilleri · 2026 · Technological Forecasting and Social Change
Man and the Machine: Effects of AI-assisted Human Labeling on Interactive Annotation of Real-time Video Streams
Marko Radeta, Rúben Freitas, Claudio Rodrigues, Agustin Zuniga, Ngoc Thi Nguyen, Huber Flores, Petteri Nurmi · 2024 · ACM Transactions on Interactive Intelligent Systems
Language-based game theory in the age of artificial intelligence
Valerio Capraro, Roberto Di Paolo, Matjaž Perc, Veronica Pizziol · 2024
To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events
Mastrianni, Angela, Kim, Mary Suhyun, Sullivan, Travis M, Sippel, Genevieve Jayne, Burd, Randall S, Gajos, Krzysztof Z., Sarcevic, Aleksandra · 2025 · Proceedings of the ACM on Human-Computer Interaction
Portraying Large Language Models as Machines, Tools, or Companions Affects What Mental Capacities Humans Attribute to Them
Allison Chen, Sunnie S. Y. Kim, Amaya Dharmasiri, Olga Russakovsky, Judith E. Fan · 2025 · CHI Extended Abstracts
Factory operators' perspectives on cognitive assistants for knowledge sharing: challenges, risks, and impact on work
Samuel Kernan Freire, T. He, Chaofan Wang, Evangelos Niforatos, Alessandro Bozzon · 2025 · Behaviour and Information Technology
Artificial Truth: Algorithmic Power, Epistemic Authority, and the Crisis of Democratic Knowledge
Rosario Palese · 2026 · Societies
Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows
Valerie Chen, A. Talwalkar, Robert Brennan, Graham Neubig · 2025 · International Conference on Human Factors in Computing Systems
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, Claire Bonial, Jeffrey C. Micher, Clare R. Voss, Marine Jacinthe Carpuat, Hal Daumé · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
Can I Trust You? Exploring the Impact of Misleading AI Suggestions on User's Trust
Daniele Pretolesi, Olivia Zechner, Helmut Schrom-Feiertag, Manfred Tscheligi · 2024 · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Scalable Interactive Machine Learning for Future Command and Control
Anna Madison, Ellen Novoseller, Vinicius Guimaraes Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven M. Thurman, Christopher Kelshaw, Kaleb McDowell · 2024 · International Conference on Military Communications and Information Systems (ICMCIS)
The Role of Initial Acceptance Attitudes Toward AI Decisions in Algorithmic Recourse
Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima · 2025 · CHI Conference on Human Factors in Computing Systems
Interacting with fallible AI: is distrust helpful when receiving AI misclassifications?
Tobias M. Peters, Ingrid Scharlau · 2025 · Frontiers in Psychology
Explainable AI for Daily Scenarios from End-Users’ Perspective: Non-Use, Concerns, and Ideal Design
Lingqing Wang, Chidimma Lois Anyi, Kefan Xu, Yifan Liu, Rosa I. Arriaga, Ashok Kumar Goel · 2025 · Designing Interactive Systems Conference
The explainable AI dilemma under knowledge imbalance in specialist AI for glaucoma referrals in primary care
Catalina Gómez, Ruolin Wang, Katharina Breininger, Corinne Casey, Chris Bradley, Mitchell Pavlak, Alex T. Pham, Jithin Yohannan, Mathias Unberath · 2025 · npj Digital Medicine
Exploring the impact of explainable AI and cognitive capabilities on users’ decisions
Federico Maria Cau, Lucio Davide Spano · 2025 · User Modeling and User-Adapted Interaction
Reimagining Multidisciplinary Teams: Challenges and Opportunities for LLMs in Cancer MDTs
Soraia Figueiredo Paulo, Isabel Neto, Nuno Figueiredo, Daniel Simões Lopes, Hugo Nicolau · 2025 · Proceedings of the ACM on Human-Computer Interaction
Identifying Algorithmic Decision Subjects' Needs for Meaningful Contestability
Mireia Yurrita, Himanshu Verma, Agathe Balayn, Kars Alfrink, Ujwal Gadiraju, Alessandro Bozzon · 2025 · Proceedings of the ACM on Human-Computer Interaction
Understanding the Effects of AI-Assisted Critical Thinking on Human-AI Decision Making
Harry Yizhou Tian, Hasan Amin, Ming Yin · 2026 · CHI Conference on Human Factors in Computing Systems
BiasX: “Thinking Slow” in Toxic Content Moderation with Explanations of Implied Social Biases
Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making
Kate Donahue, Sreenivas Gollapudi, Kostas Kollias · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
The Algorithm and the Org Chart: How Algorithms Can Conflict with Organizational Structures
Melissa Valentine, Amanda L. Pratt, Rebecca Hinds, Michael S. Bernstein · 2024 · Proceedings of the ACM on Human-Computer Interaction
Show and tell: Learning causal structures from observations and explanations
Andrew Nam, Christopher Hughes, Thomas Icard, Tobias Gerstenberg · 2023
How AI Impacts Skill Formation
Shen, Judy Hanwen, Tamkin, Alex · 2026 · arXiv
Exploring Subjective Notions of Explainability through Counterfactual Visualization of Sentiment Analysis
Anamaria Crisan, Nathan Butters, Zoe · 2024 · IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)
“Even explanations will not help in trusting [this] fundamentally biased system”: A Predictive Policing Case-Study
Siddharth Mehrotra, Ujwal Gadiraju, Eva Alice Christiane Bittner, Folkert van Delden, Catholijn M. Jonker, Myrthe Lotte Tielman · 2025 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
Identifying Effective Praise in Tutoring: Large Language Models with Transparent Explanations
Eason Chen, Jeffrey Ji-Peng Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo F. Carvalho, Kenneth R. Koedinger · 2025 · Lecture notes in computer science
Explicating the trust process for effective human interaction with artificial intelligence and machine learning systems
Gene Michael Alarcon, August Capiola · 2025 · Frontiers in Computer Science
Totalitarian technics: the hidden cost of AI scribes in healthcare
Hugh Brosnahan · 2025 · Medicine Health Care and Philosophy
Enhancing patient participation in emergency department through patient-friendly clinical notes generated by large language models
Sung In Kim, Joonyoung Park, Taewan Kim, Woosuk Seo, Taerim Kim, Won Chul Cha, Hwajung Hong · 2025 · Scientific Reports
AI-augmented decision-making in face matching: comparing concurrent and non-concurrent advice presentation
Eesha Kokje, Eva Lermer, Anne‐Kathrin Kleine, Susanne Gaube · 2026 · Cognitive Research Principles and Implications
Comparing artificial intelligence and healthcare professional performance in surgical and interventional video analysis: a systematic review and meta-analysis
Amir Rafati Fard, Simon C. Williams, Kieran J. Smith, Jasneet Kaur Dhaliwal, Tomas Ferreira, Adrito Das, Joachim Starup‐Hansen, JOHN GERRARD HANRAHAN, Chan Hee Koh, Danyal Zaman Khan et al. · 2026 · npj Digital Medicine
VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making
Anindya Das Antar, Somayeh Molaei, Yan-Ying Chen, Matthew L. Lee, Nikola Banovic · 2024 · ACM Symposium on User Interface Software and Technology
Exploring the Effects of User Input and Decision Criteria Control on Trust in a Decision Support Tool for Spare Parts Inventory Management
Maren Hinrichs, Thi Bich Diep Bui, Stefan Schneegaß · 2024 · International Conference on Mobile and Ubiquitous Multimedia (MUM)
Exploring human-swarm interaction dynamics in cyber-physical systems: A physiological approach
Joseph P. Distefano, Souma Chowdhury, Ehsan T. Esfahani · 2023 · Journal of Integrated Design and Process Science
Exploring the Effects of User Trust in Generative AI on Decision-Making in Semi-structured Problem
Koutaro Kamada, Haruomi Takahashi, Tzu-Yang Wang, Takaya Yuizono · 2025 · Lecture notes in computer science
Multidisciplinary perspectives on human‑AI team trust
Myrthe Lotte Tielman, Morgan E Bailey, Francesco Frattolillo, Carolina Centeio Jorge, Anna‐Sophie Ulfert, André Meyer-Vitali · 2025 · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems
Noise Pilot: Enabling Artistic Workflow Composition with Diffusion-Based Image Generation
James Smith, Shm Garanganao Almeda, Timothy J. Aveni, Anya Agarwal, Björn Hartmann · 2026 · CHI Conference on Human Factors in Computing Systems
When Life Gives You AI, Will You Turn It Into A Market for Lemons? Understanding How Information Asymmetries About AI System Capabilities Affect Market Outcomes and Adoption
Alexander Erlei, Federico Maria Cau, Radoslav Georgiev, Sagar Chethan Kumar, Kilian Bizer, Ujwal Gadiraju · 2026 · CHI Conference on Human Factors in Computing Systems
Building Human-AI Reliance Through Cognitive Engagement and Exploratory AI Assistance
Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis · 2025 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer, Maria De‐Arteaga, Niklas Kuehl · 2022 · arXiv (Cornell University)
What Lies Beneath? Exploring the Impact of Underlying AI Model Updates in AI-Infused Systems
Vikram Mohanty, Jude Lim, Kurt Luther · 2025 · CHI Conference on Human Factors in Computing Systems
Revolutionising Training and Vocational Education With Ongoing AI Innovation
D. Ravikumar, Madona B. Sahaai, C. Sharanya, V. Ravichandran, S. Lavanya, M. Robinson Joel · 2025 · Advances in computational intelligence and robotics book series
Generative AI Dependency in Higher Education: Investigating Continuance Intention, Cognitive Response, and Creativity
Hongjie Ping, Wei Wang, Yi Xie, Shengnan Lv, Jielu Li, Lingling Weng · 2025 · International Conference on Computer Science and Technologies in Education (CSTE)
What Do People Want to Know about Artificial Intelligence (AI)? The Importance of Answering End-user Questions to Explain Autonomous Vehicle (AV) Decisions
Somayeh Molaei, Lionel Robert, Nikola Banović · 2025 · Proceedings of the ACM on Human-Computer Interaction
Wisdom of the Crowd, Without the Crowd: A Socratic LLM for Asynchronous Deliberation on Perspectivist Data
Malik Khadar, Daniel Runningen, Julia Tang, Stevie Chancellor, Harmanpreet Kaur · 2025 · Proceedings of the ACM on Human-Computer Interaction
Multi-Attribute Decision-Making Model for Security Perception in Smart Apartments from a User Experience Perspective
Jingbo Zhang, Shuxuan Meng · 2025 · Urban Science
An Empirical Examination of the Evaluative AI Framework
Jaroslaw Kornowicz · 2025 · International Journal of Human-Computer Interaction
The Trust Process Applied to Machine Learning Algorithms: The Influence of Calibrated Confidence Estimates
Gene Michael Alarcon, Sarah A. Jessup, Scott K. Meyers, Sasha M. Willis, Krista N. Harris, Dexter Johnson, Jacob Noblick, Walter Dean Bennette · 2026 · IEEE Transactions on Human-Machine Systems
Evaluating ChatGPT’s Cognitive Performance in Chemical Engineering Education
Salman Shahid, Shaun Walmsley · 2026 · Information
In Defense of Post Hoc Explanations in Medical AI
Joshua James Hatherley, Lauritz Aastrup Munch, Jens Christian Bjerring · 2026 · The Hastings Center Report
A three-layered transparency framework for communicating algorithmic systems in the public sector: Exploring participatory prototype design with end users
Teresa Correa, Francisca Luco, Yelena Hernández-Estrada, Iñaki Oyarzún-Merino, Claudia López · 2026 · International Journal of Human-Computer Studies
Generative AI as a Knowledge Distribution System
Andrea Lavazza, Mirko Farina · 2026 · Social Epistemology
When proximal collaboration with AI hinders innovation: The moderating role of idea originality and reliance on AI
Jesús Mascareño, Burkhard Wörtler, Aleksandra Przegalińska, Leon Ciechanowski · 2026 · Computers in Human Behavior Reports
Trust to Reliance: Measurement Constructs for Human-AI Appropriate Reliance
Muhammad Raees, Konstantinos Papagelis · 2026 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
Do We Know What They Know We Know? Calibrating Student Trust in AI and Human Responses through Mutual Theory of Mind
Olivia Pal, Veda Duddu, Agam Goyal, Drishti Goel, Koustuv Saha · 2026 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
Cognitive load pathways linking generative AI dependency to university students' higher-order thinking skills and academic enjoyment
Hang Zhang, Rujia Jiang · 2026 · Education and Information Technologies
AI-assisted teams outperform AI-led teams but not human-only teams in assessing research reproducibility in quantitative social science
Abel Brodeur, David Valenta, Alexandru Marcoci, Juan P. Aparicio, Derek Mikola, Bruno Barbarioli, Rohan Alexander, Lachlan Deer, Tom Stafford, Lars Vilhuber et al. · 2026 · Proceedings of the National Academy of Sciences
User Decision Guidance with Selective Explanation Presentation from Explainable-AI
Yosuke Fukuchi, Seiji Yamada · 2024 · IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Effects of Presenting Multiple Types of AI Explanations for Visual Task
Akihiro Maehigashi, Yosuke Fukuchi, Seiji Yamada · 2024 · International Conference on Human-Agent Interaction (HAI)
Artificial intelligence for cardiac imaging is ready for widespread clinical use: Pro Con debate AI for cardiac imaging
Domenico Mastrodicasa, Marly van Assen · 2024 · BJR|Open
A Review on the Applications and Implications of Artificial Intelligence and Machine Learning in Oncology
Kunal Hiwase, Prateek Verma, N. R. Zade, Praveen Kumar, Induni Nayodhara Weerarathna, Swapnil K. Gundewar · 2026 · International Journal of Computational Intelligence Systems
Designing Effective Training Dataset Explanations: The Impact of Information Depth and Progressive Disclosure
Ariful Islam Anik, Andrea Bunt · 2026 · ACM International Conference on Intelligent User Interfaces (IUI)
Criticality: Scaffolding Decision-Making with Interactive Critical Thinking and Evidence-Based Reasoning Traces
Minsuk Chang, Arjun Srinivasan, Srishti Palani · 2026 · ACM International Conference on Intelligent User Interfaces (IUI)
Who Needs What Explanation? How User Traits Affect Explanation Effectiveness in AI-Assisted Decision-Making
Torrence S Farmer, Chien-Ju Ho · 2026 · ACM International Conference on Intelligent User Interfaces (IUI)
DataSpeck: An AI-Driven Human-in-the-Loop System for Automating Transformations in Data Conversion Workflows
Adil Rahman, Koichiro Niinuma, Aakar Gupta · 2026 · CHI Conference on Human Factors in Computing Systems
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
Jaspreet Ranjit, Ke Zhou, Swabha Swayamdipta, Daniele Quercia · 2026 · CHI Conference on Human Factors in Computing Systems
Don't Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics
Katherine C. Kellogg, Hila Lifshitz‐Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell’Acqua, Edward McFowland, François Candelon, Karim R. Lakhani · 2024 · SSRN Electronic Journal
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions
Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger · 2024
Towards Understanding Human-AI Reliance Patterns Through Explanation Styles
Emma R. Casolin, Flora Dilys Salim · 2024 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
A Reflection Machine to Support Critical Reflection During Decision-Making
Simon W. S. Fischer · 2025 · ACM International Conference on Intelligent User Interfaces (IUI)
"Good" XAI Design: For What? In Which Ways?
Lingqing Wang, Yifan Liu, Ashok Kumar Goel · 2025 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)