Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application

15 May 2023

Papers citing "Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application"

5 / 5 papers shown

Title
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 57 0 0 14 Apr 2025
Misfitting With AI: How Blind People Verify and Contest AI Errors Rahaf Alharbi P. Lor Jaylin Herskovitz S. Schoenebeck Robin Brewer 33 10 0 13 Aug 2024
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust Sunnie S. Y. Kim Q. V. Liao Mihaela Vorvoreanu Steph Ballard Jennifer Wortman Vaughan 40 51 0 01 May 2024
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 66 114 0 06 Dec 2021
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 255 426 0 15 Oct 2020