Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions

2 May 2025

Papers citing "Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions"

21 / 21 papers shown

Title
An Explanatory Model Steering System for Collaboration between Domain Experts and AI Aditya Bhattacharya Simone Stumpf K. Verbert 66 4 0 17 May 2024
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study L. Herm 61 22 0 18 Apr 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 94 109 0 18 Jan 2023
Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise Courtney Ford Markt. Keane 87 12 0 19 Dec 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 121 63 0 29 Jul 2022
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging Riccardo Fogliato Shreya Chappidi M. Lungren Michael Fitzke Mark Parkinson Diane U Wilson Paul Fisher Eric Horvitz K. Inkpen Besmira Nushi 72 71 0 19 May 2022
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning Krzysztof Z. Gajos Lena Mamykina 76 103 0 11 Feb 2022
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 101 229 0 25 Feb 2021
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations Rachael Zehrung A. Singhal M. Correll Leilani Battle HAI 41 20 0 12 Jan 2021
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 84 599 0 26 Jun 2020
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? Peter Hase Joey Tianyi Zhou FAtt 77 303 0 04 May 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 94 96 0 05 Mar 2020
Aleatoric and Epistemic Uncertainty with Random Forests M. Shaker Eyke Hüllermeier BDL UD PER 65 72 0 03 Jan 2020
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making Carrie J. Cai Emily Reif Narayan Hegde J. Hipp Been Kim ... Martin Wattenberg F. Viégas G. Corrado Martin C. Stumpe Michael Terry 107 403 0 08 Feb 2019
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection Vivian Lai Chenhao Tan 78 377 0 19 Nov 2018
Ít's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions Reuben Binns Max Van Kleek Michael Veale Ulrik Lyngs Jun Zhao N. Shadbolt FaML 56 542 0 31 Jan 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 127 2,361 0 01 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,018 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,033 0 16 Feb 2016
Large-scale probabilistic predictors with and without guarantees of validity V. Vovk Ivan Petej Valentina Fedorova 49 43 0 01 Nov 2015
Venn-Abers predictors V. Vovk Ivan Petej 72 80 0 31 Oct 2012