Mohamed Sheik-Nainar

Works (4)

Updated: July 12th, 2023 12:55

2007 journal article

The utility of a virtual reality locomotion interface for studying gait behavior

HUMAN FACTORS, 49(4), 696–709.

By: M. Sheik-Nainar n & D. Kaber n

MeSH headings : Adult; Exercise Test; Female; Gait / physiology; Humans; Locomotion / physiology; Male; North Carolina; User-Computer Interface
TL;DR: The results demonstrate that providing optic flow during TW through VR has an impact on gait behavior, and provides a basis for developing simple VR locomotion interface setups for gait research. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2007 journal article

Workload state classification with automation during simulated air traffic control

INTERNATIONAL JOURNAL OF AVIATION PSYCHOLOGY, 17(4), 371–390.

By: D. Kaber n, C. Perry n, N. Segall* & M. Sheik-Nainar*

TL;DR: Examination of multiple cognitive workload measures, including secondary task performance and physiological measures, as inputs to a neural network for operator functional state classification during a simulated air traffic control (ATC) task demonstrated applicability to design of future adaptive systems integrating neural-network-based workload state classifiers for multiple forms of automation. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2005 journal article

Control gain adaptation in virtual reality mediated human-telerobot interaction

HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING, 15(3), 259–274.

By: M. Sheik-Nainar n, D. Kaber n & M. Chow n

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UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2005 journal article

Investigation of multi-modal interface features for adaptive automation of a human–robot system

International Journal of Human-Computer Studies, 64(6), 527–540.

By: D. Kaber*, M. Wright * & M. Sheik-Nainar n

author keywords: adaptive automation; situation awareness; multi-modal interface design; hunian-robot interaction
TL;DR: Cuing led to better performance than none, but did not appear to completely eliminate temporary SA deficits due to changes in control and associated operator reorienting, and bi-modal cueing of dynamic automation-state changes was more supportive of SA than modal (single sensory channel) cueing. (via Semantic Scholar)
Sources: Web Of Science, Crossref
Added: August 6, 2018

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