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Explanation User Interfaces: A Systematic Literature Review

Explanation User Interfaces: A Systematic Literature Review

26 May 2025
Eleonora Cappuccio
Andrea Esposito
Francesco Greco
Giuseppe Desolda
Rosa Lanzilotti
Salvatore Rinzivillo
ArXivPDFHTML

Papers citing "Explanation User Interfaces: A Systematic Literature Review"

15 / 15 papers shown
Title
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A
  Case Study in Sepsis Diagnosis
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Shao Zhang
Jianing Yu
Xuhai Xu
Changchang Yin
Yuxuan Lu
...
Melanie Tory
Lace M. Padilla
Jeffrey Caterino
Ping Zhang
Dakuo Wang
60
42
0
17 Sep 2023
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of
  Black-Box Algorithmic Rankers
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers
Jun Yuan
Kaustav Bhattacharjee
A. Islam
Aritra Dasgupta
41
3
0
28 Aug 2023
VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese
  Neural Network concept to non-technical users
VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese Neural Network concept to non-technical users
Noptanit Chotisarn
S. Gulyanon
Tianye Zhang
Wei Chen
19
10
0
04 Apr 2023
ConceptExplainer: Interactive Explanation for Deep Neural Networks from
  a Concept Perspective
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective
Jinbin Huang
Aditi Mishra
Bum Chul Kwon
Chris Bryan
FAtt
HAI
59
33
0
04 Apr 2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical
  Surrogate Rule Sets
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets
Jun Yuan
Brian Barr
Kyle Overton
E. Bertini
30
10
0
19 Jan 2022
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment
  Analysis
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Xingbo Wang
Jianben He
Zhihua Jin
Muqiao Yang
Yong Wang
Huamin Qu
78
77
0
17 Jul 2021
Explainability via Interactivity? Supporting Nonexperts' Sensemaking of
  Pretrained CNN by Interacting with Their Daily Surroundings
Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings
Chao Wang
Pengcheng An
HAI
19
7
0
31 May 2021
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
B. Shneiderman
33
690
0
10 Feb 2020
Evaluating Saliency Map Explanations for Convolutional Neural Networks:
  A User Study
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study
Ahmed Alqaraawi
M. Schuessler
Philipp Weiß
Enrico Costanza
N. Bianchi-Berthouze
AAML
FAtt
XAI
37
199
0
03 Feb 2020
Questioning the AI: Informing Design Practices for Explainable AI User
  Experiences
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. V. Liao
D. Gruen
Sarah Miller
80
709
0
08 Jan 2020
RuleMatrix: Visualizing and Understanding Classifiers with Rules
RuleMatrix: Visualizing and Understanding Classifiers with Rules
Yao Ming
Huamin Qu
E. Bertini
FAtt
46
215
0
17 Jul 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
81
3,922
0
06 Feb 2018
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
217
4,229
0
22 Jun 2017
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
110
3,672
0
10 Jun 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
155
9,266
0
14 Dec 2015
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