helpResearch questionAI Trust Building and Reliability Judgment
How do different sources of guidance (AI, human experts, human analysis teams) affect users' perception of guidance and utilization efficiency?Direction: AI Explainability, Trust, and Calibration
AI Trust Building and Reliability Judgment
Stats are based on currently indexed question data; missing sources remain visible.
36
items
9
sources
2025
latest
All questions
36 items
helpResearch questionAI Trust Building and Reliability Judgment
What differences exist in users' behavior and decision-making mechanisms when receiving guidance from different sources?helpResearch questionAI Trust Building and Reliability Judgment
How do user trust and usage frequency differ between unmarked-source guidance and guidance with explicit source attribution?lightbulbPractical problemAI Trust Building and Reliability Judgment
Users struggle to choose which guidance sources to trust in data analysis tools.helpResearch questionAI Trust Building and Reliability Judgment
Can triangulation research across multiple future scenarios reveal universality and context specificity in technology design?helpResearch questionAI Trust Building and Reliability Judgment
How do users' attitudes and behavioral patterns toward AI technology vary across future scenarios?helpResearch questionAI Trust Building and Reliability Judgment
How can triangulation methods improve predictiveness and generalizability of future technology application research?lightbulbPractical problemAI Trust Building and Reliability Judgment
Designers struggle to reliably predict future technology scenarios, producing systems that lack generalizability.helpResearch questionAI Trust Building and Reliability Judgment
How can AI promote trust and collaboration among multiple groups in cooperative settings?helpResearch questionAI Trust Building and Reliability Judgment
How can relational AI improve teamwork through socially aware dialogue suggestions?helpResearch questionAI Trust Building and Reliability Judgment
How does relational AI compare with traditional personalized AI in efficiency and inclusivity for cross-group collaboration?lightbulbPractical problemAI Trust Building and Reliability Judgment
Different groups struggle to collaborate effectively online due to trust issues.helpResearch questionAI Trust Building and Reliability Judgment
For which tasks do users prefer conversational search systems over traditional web search engines at greater psychological distance?helpResearch questionAI Trust Building and Reliability Judgment
How does psychological distance affect users' perceptions of ease of use, credibility, usefulness, and enjoyment of information retrieval systems?helpResearch questionAI Trust Building and Reliability Judgment
How can information retrieval system design be optimized based on psychological distance to meet user needs?lightbulbPractical problemAI Trust Building and Reliability Judgment
Users struggle to choose appropriate information retrieval tools for different tasks.helpResearch questionAI Trust Building and Reliability Judgment
Can simple AI models capture key nuances of human decision-making in complex moral scenarios?helpResearch questionAI Trust Building and Reliability Judgment
In kidney allocation, how do dynamic preferences and nonlinear features in human decisions affect AI model effectiveness?helpResearch questionAI Trust Building and Reliability Judgment
What attitudes and expectations do humans have toward AI's assistive decision-making ability in kidney allocation?lightbulbPractical problemAI Trust Building and Reliability Judgment
AI struggles to reliably simulate human decision logic in complex moral scenarios.helpResearch questionAI Trust Building and Reliability Judgment
What problems do existing automated planning tools have in addressing ordinary users' everyday complex planning needs?helpResearch questionAI Trust Building and Reliability Judgment
Can model checking techniques improve reliability and usability of LLMs in planning tasks?helpResearch questionAI Trust Building and Reliability Judgment
How does combining user interaction with formal verification improve planning output quality and user trust?lightbulbPractical problemAI Trust Building and Reliability Judgment
Ordinary users struggle to use existing automated tools for complex planning with unreliable outputs.helpResearch questionAI Trust Building and Reliability Judgment
Why are domain experts' roles often reduced to data collectors in AI development processes?helpResearch questionAI Trust Building and Reliability Judgment
How can domain expert knowledge improve data quality and reliability of AI models in low-resource environments?helpResearch questionAI Trust Building and Reliability Judgment
Can integrating domain experts into AI development workflows more effectively solve practical problems?lightbulbPractical problemAI Trust Building and Reliability Judgment
Domain knowledge is neglected in AI development, leading to poor data quality.helpResearch questionAI Trust Building and Reliability Judgment
How can stakeholder needs in machine learning be described through different types of knowledge (theory, tools, experience)?helpResearch questionAI Trust Building and Reliability Judgment
How do stakeholders' long-term goals, mid-term goals, and specific tasks affect design of explainability methods?helpResearch questionAI Trust Building and Reliability Judgment
Can a framework be designed to more accurately classify and satisfy diverse stakeholder needs?lightbulbPractical problemAI Trust Building and Reliability Judgment
Users cannot understand logic of complex machine learning models and struggle to build trust.helpResearch questionAI Trust Building and Reliability Judgment
When AI systems request users' personal information, which role framing (help-seeker or help-provider) better builds user trust?helpResearch questionAI Trust Building and Reliability Judgment
Does use of self-referential language (e.g., I) affect users' trust in AI systems and privacy perceptions?helpResearch questionAI Trust Building and Reliability Judgment
How does user familiarity (general vs. expert users) affect behavior in privacy data sharing?lightbulbPractical problemAI Trust Building and Reliability Judgment
Users are typically concerned about sharing private personal information, affecting the effectiveness of AI personalization.Related papers
IUI 2025
Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis
Arpit Narechania, Alex Endert, Atanu R Sinha
CHI 2025
Triangulating on Possible Futures: Conducting User Studies on Several Futures Instead of Only One
Antti Salovaara, Leevi Vahvelainen
CHI 2025
Relational AI: Facilitating Intergroup Cooperation with Socially Aware Conversational Support
Elijah L. Claggett, Robert E. Kraut, Hirokazu Shirado
CHI 2025
Understanding How Psychological Distance Influences User Preferences in Conversational versus Web Search
Yitian Yang, Yugin Tan, Yang Chen Lin
CHI 2025
Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions
Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong
CHI 2025
VeriPlan: Integrating Formal Verification and LLMs into End-User Planning
Christine P. Lee, David Porfirio, Xinyu Jessica Wang
CHI 2022
The Deskilling of Domain Expertise in AI Development
Nithya Sambasivan, Rajesh Veeraraghavan
CHI 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin K. Nam
CHI 2021
How should AI Systems Talk to users when Collecting their Personal Information? Effects of Role Framing and Self-referencing on Human-AI Interaction
Mengqi Liao, S. Shyam Sundar
Adjacent categories
AI Explainability, Trust, and Calibration
Uncertainty Communication and Calibrated Reliance
127 items
AI Explainability, Trust, and Calibration
Medical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
124 items
AI Explainability, Trust, and Calibration
LLM Trust and Over/Under-Reliance
124 items
AI Explainability, Trust, and Calibration
XAI Explanation and Appropriate Reliance Calibration
101 items
AI Explainability, Trust, and Calibration
Explanation Form Design and Comprehension Effects
100 items
AI Explainability, Trust, and Calibration
Transparency, Auditability, and Trust Calibration Mechanisms
72 items
AI Explainability, Trust, and Calibration
Trust in Conversational AI and Chatbots
71 items
AI Explainability, Trust, and Calibration
AI Decision Support and Reliance Behavior
56 items