Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Sunnie S. Y., Vaughan, Jennifer Wortman, Liao, Q. Vera, Lombrozo, Tania, Russakovsky, Olga |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
by: Kim, Sunnie S. Y., et al.
Published: (2024)
by: Kim, Sunnie S. Y., et al.
Published: (2024)
Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them
by: Chen, Allison, et al.
Published: (2025)
by: Chen, Allison, et al.
Published: (2025)
To Rely or Not to Rely? Evaluating Interventions for Appropriate Reliance on Large Language Models
by: Bo, Jessica Y., et al.
Published: (2024)
by: Bo, Jessica Y., et al.
Published: (2024)
VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization
by: Lee, Sam Yu-Te, et al.
Published: (2025)
by: Lee, Sam Yu-Te, et al.
Published: (2025)
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
by: Panigrahi, Indu, et al.
Published: (2025)
by: Panigrahi, Indu, et al.
Published: (2025)
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers
by: Grgić-Hlača, Nina, et al.
Published: (2024)
by: Grgić-Hlača, Nina, et al.
Published: (2024)
Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions
by: Vasconcelos, Helena, et al.
Published: (2023)
by: Vasconcelos, Helena, et al.
Published: (2023)
Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline
by: Kapania, Shivani, et al.
Published: (2025)
by: Kapania, Shivani, et al.
Published: (2025)
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
by: Schoeffer, Jakob, et al.
Published: (2022)
by: Schoeffer, Jakob, et al.
Published: (2022)
Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work
by: Deng, Wesley Hanwen, et al.
Published: (2024)
by: Deng, Wesley Hanwen, et al.
Published: (2024)
Canvil: Designerly Adaptation for LLM-Powered User Experiences
by: Feng, K. J. Kevin, et al.
Published: (2024)
by: Feng, K. J. Kevin, et al.
Published: (2024)
Majority Voting of Doctors Improves Appropriateness of AI Reliance in Pathology
by: Gu, Hongyan, et al.
Published: (2024)
by: Gu, Hongyan, et al.
Published: (2024)
From Trust to Appropriate Reliance: Measurement Constructs in Human-AI Decision-Making
by: Raees, Muhammad, et al.
Published: (2026)
by: Raees, Muhammad, et al.
Published: (2026)
Can AR Embedded Visualizations Foster Appropriate Reliance on AI in Spatial Decision-Making? A Comparative Study of AR X-Ray vs. 2D Minimap
by: Liu, Xianhao Carton, et al.
Published: (2025)
by: Liu, Xianhao Carton, et al.
Published: (2025)
Evaluating the Influences of Explanation Style on Human-AI Reliance
by: Casolin, Emma, et al.
Published: (2024)
by: Casolin, Emma, et al.
Published: (2024)
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making
by: Cao, Shiye, et al.
Published: (2024)
by: Cao, Shiye, et al.
Published: (2024)
Offloading Score: Measuring AI Reliance Through Counterfactual Workflows
by: Padmakumar, Vishakh, et al.
Published: (2026)
by: Padmakumar, Vishakh, et al.
Published: (2026)
Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering
by: Ferino, Samuel, et al.
Published: (2026)
by: Ferino, Samuel, et al.
Published: (2026)
Understanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy
by: Li, Jingshu, et al.
Published: (2024)
by: Li, Jingshu, et al.
Published: (2024)
Identify Design Problems Through Questioning: Exploring Role-playing Interactions with Large Language Models to Foster Design Questioning Skills
by: Lim, Hyunseung, et al.
Published: (2024)
by: Lim, Hyunseung, et al.
Published: (2024)
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
by: Liao, Q. Vera, et al.
Published: (2023)
by: Liao, Q. Vera, et al.
Published: (2023)
RelianceScope: An Analytical Framework for Examining Students' Reliance on Generative AI Chatbots in Problem Solving
by: Jin, Hyoungwook, et al.
Published: (2026)
by: Jin, Hyoungwook, et al.
Published: (2026)
Algorithm, Expert, or Both? Evaluating the Role of Feature Selection Methods on User Preferences and Reliance
by: Kornowicz, Jaroslaw, et al.
Published: (2024)
by: Kornowicz, Jaroslaw, et al.
Published: (2024)
Biased Minds Meet Biased AI: How Class Imbalance Shapes Appropriate Reliance and Interacts with Human Base Rate Neglect
by: von Felten, Nick, et al.
Published: (2025)
by: von Felten, Nick, et al.
Published: (2025)
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
by: He, Gaole, et al.
Published: (2025)
by: He, Gaole, et al.
Published: (2025)
Challenges in Human-Agent Communication
by: Bansal, Gagan, et al.
Published: (2024)
by: Bansal, Gagan, et al.
Published: (2024)
Large Language Model Agent Personality and Response Appropriateness: Evaluation by Human Linguistic Experts, LLM-as-Judge, and Natural Language Processing Model
by: Jayakumar, Eswari, et al.
Published: (2025)
by: Jayakumar, Eswari, et al.
Published: (2025)
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy
by: Nguyen, Giang, et al.
Published: (2024)
by: Nguyen, Giang, et al.
Published: (2024)
Emerging Reliance Behaviors in Human-AI Content Grounded Data Generation: The Role of Cognitive Forcing Functions and Hallucinations
by: Ashktorab, Zahra, et al.
Published: (2024)
by: Ashktorab, Zahra, et al.
Published: (2024)
Experimental Interface for Multimodal and Large Language Model Based Explanations of Educational Recommender Systems
by: Abu-Rasheed, Hasan, et al.
Published: (2024)
by: Abu-Rasheed, Hasan, et al.
Published: (2024)
Design Guidance Towards Addressing Over-Reliance on AI in Sensemaking
by: Zhao, Yihang, et al.
Published: (2026)
by: Zhao, Yihang, et al.
Published: (2026)
TalkToAgent: A Human-centric Explanation of Reinforcement Learning Agents with Large Language Models
by: Kim, Haechang, et al.
Published: (2025)
by: Kim, Haechang, et al.
Published: (2025)
"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models
by: Hwang, Angel Hsing-Chi, et al.
Published: (2024)
by: Hwang, Angel Hsing-Chi, et al.
Published: (2024)
Fostering Enterprise Conversations Around Data on Collaboration Platforms
by: Kim, Hyeok, et al.
Published: (2023)
by: Kim, Hyeok, et al.
Published: (2023)
Fostering Human Learning in Sequential Decision-Making: Understanding the Role of Evaluative Feedback
by: Gupta, Piyush, et al.
Published: (2023)
by: Gupta, Piyush, et al.
Published: (2023)
Just Like Me: The Role of Opinions and Personal Experiences in The Perception of Explanations in Subjective Decision-Making
by: Ferguson, Sharon, et al.
Published: (2024)
by: Ferguson, Sharon, et al.
Published: (2024)
What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence
by: Kaufman, Robert, et al.
Published: (2024)
by: Kaufman, Robert, et al.
Published: (2024)
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments
by: Roman, Anthony Cintron, et al.
Published: (2023)
by: Roman, Anthony Cintron, et al.
Published: (2023)
Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks
by: Gao, Alice, et al.
Published: (2026)
by: Gao, Alice, et al.
Published: (2026)
Understanding Large-Language Model (LLM)-powered Human-Robot Interaction
by: Kim, Callie Y., et al.
Published: (2024)
by: Kim, Callie Y., et al.
Published: (2024)
Similar Items
-
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
by: Kim, Sunnie S. Y., et al.
Published: (2024) -
Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them
by: Chen, Allison, et al.
Published: (2025) -
To Rely or Not to Rely? Evaluating Interventions for Appropriate Reliance on Large Language Models
by: Bo, Jessica Y., et al.
Published: (2024) -
VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization
by: Lee, Sam Yu-Te, et al.
Published: (2025) -
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
by: Panigrahi, Indu, et al.
Published: (2025)