SAE Technical Paper Series 2008
DOI: 10.4271/2008-01-1986
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Interface for EVA Human-Machine Interaction

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Cited by 3 publications
(2 citation statements)
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“…Nevertheless, the predicted mean accuracy in these cases was 94.1% (95% CI: [92.0, 95.7%]) for the tactile case, and 92.9% (95% CI: [90. 7,94.6%]) (p0.001) in the non-tactile condition. Considering that some subjects achieved even higher accuracy rates, the ring and little fingers can be considered useful for the GECO human-computer interface.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, the predicted mean accuracy in these cases was 94.1% (95% CI: [92.0, 95.7%]) for the tactile case, and 92.9% (95% CI: [90. 7,94.6%]) (p0.001) in the non-tactile condition. Considering that some subjects achieved even higher accuracy rates, the ring and little fingers can be considered useful for the GECO human-computer interface.…”
Section: Discussionmentioning
confidence: 99%
“…The limited, yet growing, body of literature has just begun to address asynchronous communication in a variety of ways such as developing real-time schedule replanning (Marquez, Ludowise, McCurdy, & Li, 2010) and subsystem automation (Stetson, Deitsch, Cruzen, & Haddock, 2007;Stetson, Knickerbocker, Cruzen, & Haddock, 2011). There has also been efforts to enhance astronaut capability via prototype cuff display (Carr, Schwartz, & Rosenberg, 2002;Hodgson et al, 2003) and helmet display development (Jacobs, Di Capua, Husain, Mirvis, & Akin, 2011;Stolen, Dillow, Jacobs, & Akin, 2008). Various other software advances have also been developed recently including prototype automated timeline tracking, activity scheduling, and fault-detection (See Smith et al, (2014) for a summary).…”
Section: Motivationmentioning
confidence: 99%