Visualization for trust in machine learning revisited: The state of the field in 2023

A Chatzimparmpas, K Kucher… - IEEE Computer Graphics …, 2024 - ieeexplore.ieee.org
Visualization for explainable and trustworthy machine learning remains one of the most
important and heavily researched fields within information visualization and visual analytics …

Vistrust: a multidimensional framework and empirical study of trust in data visualizations

H Elhamdadi, A Stefkovics, J Beyer… - … on Visualization and …, 2023 - ieeexplore.ieee.org
Trust is an essential aspect of data visualization, as it plays a crucial role in the interpretation
and decision-making processes of users. While research in social sciences outlines the …

A behavioral perspective on visualization in manufacturing and operations management: a review, framework, and research agenda

F Lindner, G Reiner, S Keil - Operations Management Research, 2025 - Springer
Visualizations are ubiquitous in today's manufacturing operations, whether in the form of
time series, scatter plots, flow charts, or dashboards. Managers, engineers, and shop-floor …

Visualization of class activation maps to explain AI classification of network packet captures

I Cherepanov, A Ulmer, JG Joewono… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
The classification of internet traffic has become increasingly important due to the rapid
growth of today's networks and application variety. The number of connections and the …

AI Makes You Smarter, But None The Wiser: The Disconnect Between Performance and Metacognition

D Fernandes, S Villa, S Nicholls, O Haavisto… - arxiv preprint arxiv …, 2024 - arxiv.org
Optimizing human-AI interaction requires users to reflect on their own performance critically.
Our paper examines whether people using AI to complete tasks can accurately monitor how …

Explainable AI: A way to achieve trustworthy AI

Y Li, Y **ao, Y Gong, R Zhang, Y Huo… - 2024 IEEE 10th …, 2024 - ieeexplore.ieee.org
AI is black-box and non-explainable, in other words, due to the complexity of the decision-
making process of AI, people are unable to know why and how AI makes the decision. For …

[HTML][HTML] It Helps with Crap Lecturers and Their Low Effort: Investigating Computer Science Students' Perceptions of Using ChatGPT for Learning

M Bikanga Ada - Education Sciences, 2024 - mdpi.com
This study explores how computing science students (n= 335) use ChatGPT, their trust in its
information, their navigation of plagiarism issues, and their confidence in addressing …

Industry 5.0 and Operations Management—the Importance of Human Factors

F Lindner, G Reiner - NOMS 2023-2023 IEEE/IFIP Network …, 2023 - ieeexplore.ieee.org
In this position paper, we highlight the importance of human factors, especially cognition, for
operations management during the transition from Industry 4.0 to 5.0 and within. We argue …

Active gaze labeling: Visualization for trust building

M Koch, N Cao, D Weiskopf… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Areas of interest (AOIs) are well-established means of providing semantic information for
visualizing, analyzing, and classifying gaze data. However, the usual manual annotation of …

[HTML][HTML] Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design

F Ghaffar, NM Furtado, I Ali, C Burns - JMIR Medical Informatics, 2025 - medinform.jmir.org
Background While expert optometrists tend to rely on a deep understanding of the disease
and intuitive pattern recognition, those with less experience may depend more on extensive …