The challenges of entering the metaverse: An experiment on the effect of extended reality on workload

N Xi, J Chen, F Gama, M Riar, J Hamari - Information Systems Frontiers, 2023 - Springer
Abstract Information technologies exist to enable us to either do things we have not done
before or do familiar things more efficiently. Metaverse (ie extended reality: XR) enables …

How high is high? A meta-analysis of NASA-TLX global workload scores

RA Grier - Proceedings of the human factors and …, 2015 - journals.sagepub.com
This paper presents a descriptive analysis of over 1000 global NASA Task Load Index (TLX;
Hart & Staveland, 1988) scores from over 200 publications. This analysis is similar to that …

Assessing cognitive distraction in the automobile

DL Strayer, J Turrill, JM Cooper, JR Coleman… - Human …, 2015 - journals.sagepub.com
Objective: The objective was to establish a systematic framework for measuring and
understanding cognitive distraction in the automobile. Background: Driver distraction from …

Multiple resources and mental workload

CD Wickens - Human factors, 2008 - journals.sagepub.com
Objective: The objective is to lay out the rationale for multiple resource theory and the
particular 4-D multiple resource model, as well as to show how the model is useful both as a …

[图书][B] Applied attention theory

CD Wickens, JS McCarley, RS Gutzwiller - 2022 - taylorfrancis.com
Applied Attention Theory, Second Edition provides details concerning the relevance of all
aspects of attention to the world beyond the laboratory. Topic application areas include the …

[HTML][HTML] Into the wild: neuroergonomic differentiation of hand-held and augmented reality wearable displays during outdoor navigation with functional near infrared …

R McKendrick, R Parasuraman, R Murtza… - Frontiers in human …, 2016 - frontiersin.org
Highly mobile computing devices promise to improve quality of life, productivity, and
performance. Increased situation awareness and reduced mental workload are two potential …

Classification of driver distraction: A comprehensive analysis of feature generation, machine learning, and input measures

AD McDonald, TK Ferris, TA Wiener - Human factors, 2020 - journals.sagepub.com
Objective The objective of this study was to analyze a set of driver performance and
physiological data using advanced machine learning approaches, including feature …

Trust in automated parking systems: A mixed methods evaluation

EJ de Visser, E Phillips, N Tenhundfeld… - … Research Part F: Traffic …, 2023 - Elsevier
In two studies, we evaluated the trust and usefulness of automated compared to manual
parking using an experimental paradigm and also by surveying owners of vehicles with …

I need your help... or do i? maintaining situation awareness through performative autonomy

S Roy, T Smith, B Coltin, T Williams - Proceedings of the 2023 ACM/IEEE …, 2023 - dl.acm.org
Interactive intelligent systems are increasingly being deployed in safety critical contexts like
Space Exploration. For humans to safely and successfully complete collaborative tasks with …

[HTML][HTML] A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction

JWC Van Lint, SC Calvert - Transportation Research Part B …, 2018 - Elsevier
Incorporation of more sophisticated human factors (HF) in mathematical models for driving
behavior has become an increasingly popular and important research direction in the last …