HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

AI Explainability, Trust, and Calibration / Transparency, Auditability, and Trust Calibration Mechanisms

Does anthropomorphic design improve AI acceptance through psychological ownership rather than trust?

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Does anthropomorphic design improve AI acceptance through psychological ownership rather than trust?

CSCW '23I Create, Therefore I Agree: Exploring the Effect of AI Anthropomorphism on Human Decision-Making

Similar questions

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How do 311 system design decisions (e.g., centralization, single-issue reporting, standardized metrics) affect urban residents' experience and trust?

CHI '25Design for Civic Quality of Life Things

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can participatory technology and metadesign frameworks support continuous sociotechnical co-design of 311 systems?

CHI '25Design for Civic Quality of Life Things

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can 311 systems achieve flexibility and dynamic transparency in improving resident-government interaction quality?

CHI '25Design for Civic Quality of Life Things

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Through what mechanisms do language model outputs trigger users' anthropomorphic perceptions?

CHI '25A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Which specific linguistic expression types most easily lead users to anthropomorphic misunderstandings?

CHI '25A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Can explicitly labeling technological identity reduce anthropomorphic perception?

CHI '25A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies

Related papers

Design for Civic Quality of Life Things

Graham Dove, Eric Corbett

A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies

Alicia DeVrio, Myra Cheng, Lisa Egede

"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications

Jack West, Bengisu Cagiltay, Shirley Zhang

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria

Taesu Kim, Yoonjoo Lee, Jamin Shin

Integrating measures of replicability into scholarly search: Challenges and opportunities

Chuhao Wu, Tatiana Chakravorti, John M Carroll

Which Artificial Intelligences Do People Care About Most? A Conjoint Experiment on Moral Consideration

Ali Ladak, Jamie Harris, Jacy Reese Anthis

AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization

Reshika Palaniyappan Velumani, Meng Xia, Jun Han

Templates and Trust-o-meters: Towards a widely deployable indicator of trust in Wikipedia

Andrew Kuznetsov, Margeigh Novotny, Jessica Klein

Manipulating and Measuring Model Interpretability

Forough Poursabzi-Sangdeh, Daniel G Goldstein, Jake M Hofman

Cody: An AI-Based System to Semi-Automate Coding for Qualitative Research

Tim Rietz, Alexander Maedche

Expanding Explainability: Towards Social Transparency in AI systems

Upol Ehsan, Q. Vera Liao, Michael Muller

User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics

Anamaria Crisan, Michael Correll