XAI systems evaluation: A review of human and computer-centred methods
The lack of transparency of powerful Machine Learning systems paired with their growth in
popularity over the last decade led to the emergence of the eXplainable Artificial Intelligence …
popularity over the last decade led to the emergence of the eXplainable Artificial Intelligence …
Integrating transparency, trust, and acceptance: The intelligent systems technology acceptance model (ISTAM)
ES Vorm, DJY Combs - International Journal of Human–Computer …, 2022 - Taylor & Francis
Intelligent systems such as technologies related to artificial intelligence, robotics, machine
learning, etc. open new insights into data and expand the concept of work in myriad …
learning, etc. open new insights into data and expand the concept of work in myriad …
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
MR Taesiri, G Nguyen… - Advances in Neural …, 2022 - proceedings.neurips.cc
Explaining artificial intelligence (AI) predictions is increasingly important and even
imperative in many high-stake applications where humans are the ultimate decision-makers …
imperative in many high-stake applications where humans are the ultimate decision-makers …
A systematic review of functions and design features of in-vehicle agents
Intelligent agents are expected to become major computing systems in the near future. In-
vehicle agents (IVAs) can be widely adopted and utilized in a driving environment. Despite …
vehicle agents (IVAs) can be widely adopted and utilized in a driving environment. Despite …
Toward adaptive driving styles for automated driving with users' trust and preferences
As autonomous vehicles (AVs) become ubiquitous, users' trust will be critical for the
successful adoption of such systems. Prior works have shown that the driving styles of AVs …
successful adoption of such systems. Prior works have shown that the driving styles of AVs …
Examining the effects of power status of an explainable artificial intelligence system on users' perceptions
Contrary to the traditional concept of artificial intelligence, explainable artificial intelligence
(XAI) aims to provide explanations for the prediction results and make users perceive the …
(XAI) aims to provide explanations for the prediction results and make users perceive the …
Evaluating effects of enhanced autonomy transparency on trust, dependence, and human-autonomy team performance over time
As autonomous systems become more complicated, humans may have difficulty deciphering
autonomy-generated solutions and increasingly perceive autonomy as a mysterious black …
autonomy-generated solutions and increasingly perceive autonomy as a mysterious black …
Effect of multiple monitoring requests on vigilance and readiness by measuring eye movement and takeover performance
L Xu, L Guo, P Ge, X Wang - … research part F: traffic psychology and …, 2022 - Elsevier
Drivers do not need to supervise the L3 automated driving system but have to resume
dynamic driving tasks when necessary, where the takeover request system plays a crucial …
dynamic driving tasks when necessary, where the takeover request system plays a crucial …
Assessment of trust in automation in the “real world”: Requirements for new trust in automation measurement techniques for use by practitioners
N Tenhundfeld, M Demir… - Journal of Cognitive …, 2022 - journals.sagepub.com
Trust in automation is a foundational principle in Human Factors Engineering. An
understanding of trust can help predict and alter much of human-machine interaction (HMI) …
understanding of trust can help predict and alter much of human-machine interaction (HMI) …
From trust to trust dynamics: Combining empirical and computational approaches to model and predict trust dynamics in human-autonomy interaction
Trust in automation has been identified as one central factor in effective human-autonomy
interaction. Despite active research in the past 30 years, most studies have used a …
interaction. Despite active research in the past 30 years, most studies have used a …