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How explainable AI affects human performance: A systematic review of the
  behavioural consequences of saliency maps

How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps

3 April 2024
Romy Müller
    HAI
ArXivPDFHTML

Papers citing "How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps"

4 / 4 papers shown
Title
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui
Changkyu Choi
Andrey Barsky
Kangsoo Jung
Ernest Valveny
Dimosthenis Karatzas
25
0
0
12 May 2025
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
38
10
0
27 Jul 2024
A Psychological Theory of Explainability
A Psychological Theory of Explainability
Scott Cheng-Hsin Yang
Tomas Folke
Patrick Shafto
XAI
FAtt
49
16
0
17 May 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations
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
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