helpResearch questionPublic Perception of AI and Algorithmic Accountability
Which suggestion form (sentence-level or message-level) better improves efficiency, user satisfaction, and interaction quality?Social Computing, Communities, and Public Information / Public Perception of AI and Algorithmic Accountability
Which suggestion form (sentence-level or message-level) better improves efficiency, user satisfaction, and interaction quality?
Similar questions
helpResearch questionPublic Perception of AI and Algorithmic Accountability
How can large language models (LLMs) help non-technical community leaders design high-quality questionnaires?helpResearch questionPublic Perception of AI and Algorithmic Accountability
How can questionnaire design tools improve user autonomy while reducing bias, improving specificity, and enhancing engagement?helpResearch questionPublic Perception of AI and Algorithmic Accountability
What is the effect of human-AI collaboration combined with intelligent questionnaire generation on questionnaire quality and user experience?helpResearch questionPublic Perception of AI and Algorithmic Accountability
How does the public perceive AI as having intelligent attributes such as analytical ability and rationality, as well as emotional capacity?helpResearch questionPublic Perception of AI and Algorithmic Accountability
Does the public support developing or banning AI with sentient capabilities?helpResearch questionPublic Perception of AI and Algorithmic Accountability
What are public predictions about when AI will achieve sentient capabilities?Related papers
IUI 2025
Coalesce: An Accessible Mixed-Initiative System for Designing Community-Centric Questionnaires
Cassandra Overney, Daniel T Kessler, Suyash Pradeep Fulay
CHI 2025
Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey
Jacy Reese Anthis, Janet V.T. Pauketat, Ali Ladak
CHI 2025
The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform
Gustavo Moreira, Edyta Paulina Bogucka, Marios Constantinides
CHI 2023
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication
Liye Fu, Benjamin Newman, Maurice Jakesch
CHI 2023
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation
Alison Crosby, Eric Coughlin Orenstein, Susan Poulton
CHI 2023
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm
Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha