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?AI Explainability, Trust, and Calibration / AI Trust Building and Reliability Judgment
How do user trust and usage frequency differ between unmarked-source guidance and guidance with explicit source attribution?
Similar questions
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?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
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?helpResearch questionAI Trust Building and Reliability Judgment
How can AI promote trust and collaboration among multiple groups in cooperative settings?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