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David B. Kaber

Researcher at University of Florida

Publications -  221
Citations -  7382

David B. Kaber is an academic researcher from University of Florida. The author has contributed to research in topics: Workload & Poison control. The author has an hindex of 37, co-authored 215 publications receiving 6525 citations. Previous affiliations of David B. Kaber include Mississippi State University & University of Rostock.

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Journal ArticleDOI

Level of automation effects on performance, situation awareness and workload in a dynamic control task

TL;DR: Results suggest that, in terms of performance, human operators benefit most from automation of the implementation portion of the task, but only under normal operating conditions; in contrast, removal of the operator from task implementation is detrimental to performance recovery if the automated system fails.
Proceedings ArticleDOI

Common metrics for human-robot interaction

TL;DR: In this article, the authors describe an effort to identify common metrics for task-oriented human-robot interaction (HRI) and discuss the need for a toolkit of HRI metrics.
Journal ArticleDOI

The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task

TL;DR: In this paper, the authors extended previous research on two approaches to human-centred automation: intermediate levels of automation (LOAs) for maintaining operator involvement in complex systems control and facilitating situation awareness; and adaptive automation (AA) for managing operator workload through dynamic control allocations between the human and machine over time.
Journal ArticleDOI

Situation awareness and workload in driving while using adaptive cruise control and a cell phone

TL;DR: In this paper, the effects of adaptive cruise control (ACC) and cell phone use in driving, on a direct and objective measure of situation awareness (SA) was investigated, and the competition of multiple driving and communication tasks for limited mental resources in terms of driving performance.
Journal ArticleDOI

Out-of-the-Loop Performance Problems and the Use of Intermediate Levels of Automation for Improved Control System Functioning and Safety

TL;DR: Human supervisory control and monitoring of automated systems, as well as, passive system(s) information processing can all be classified as forms of out‐of‐the‐loop (OOTL) performance, where the operator is removed from direct, real‐time control of the system.