Spacecraft Optimization Layout and Volume (SOLV): Development of a model to assess habitable volume

Thaxton, Sherry; Chen, Maijinn; Hsiang, Simon M.; Lim, Churlzu; Meyers, Jerry G.; Wald, Sam

doi:10.1109/aero.2017.7943592

Cited by 2 publications

(2 citation statements)

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“…It proved to be a good starting point for the framework, but since it focused solely on factors affecting trust, other models were identified that tied task-design to the systems engineering process, which is an important aspect for space missions. Thaxton et al (2017) analyzed tasks from the perspective of the spacecraft designer, in which task volume was their biggest constraint. Their work outlined a process for defining the amount of volume needed for specific tasks with the goal of identifying appropriate levels of habitable volume as constrained by the task volume.…”

Section: Methodology For Developing Task-design Frameworkmentioning

confidence: 99%

Development of a Task-Design Framework for Quantifying Crew Performance

Zero

Klaus

Arquilla

et al. 2022

Proceedings of the Human Factors and Ergonomics Society Annual

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This investigation proposes a Task-Design Framework, which describes the relationship between human capabilities, the task design, and their performance. Validating such a framework, however, remains a challenge. With recent advances in wearable technologies, biometric sensors are now widely available, easy to use and fairly unobtrusive. These sensors provide an opportunity to measure and monitor a subset of astronaut health and performance indicators non-invasively. This work is aimed at systematically identifying a process that could be used to validate the task-design framework through a series of experimental task scenarios where task performance is tracked with measures such as speed and accuracy of task execution as well as changes to human capabilities using biometric sensing as an inference for task performance.

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Section: Methodology For Developing Task-design Frameworkmentioning

confidence: 99%

Development of a Task-Design Framework for Quantifying Crew Performance

Zero

Klaus

Arquilla

et al. 2022

Proceedings of the Human Factors and Ergonomics Society Annual

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“…A variety of sources were examined to determine a list of potential target habitat areas. We consulted previous expert consensus workshops on habitable volume (M. Simon et al, 2011;Whitmire et al, 2015), task analysis of a future Mars mission (Stuster et al, 2019), recent concurrent ISS Habitability (Greene et al, 2018;Landon et al, 2020) and Spacecraft Optimization Layout and Volume projects (SOLV; Chen et al, 2019), and the spaceflight literature on historical vehicles and projected needs for longduration missions. For example, Whitmire and colleagues (2015) identified seven functional habitat areas: sleeping space/private quarters, hygiene, work space, dining and communal activities, exercise, translation paths, and stowage.…”

Section: Conveniencementioning

confidence: 99%

The Subjective Habitability & Acceptability Questionnaire (SHAQ): Development and Validation

et al. 2022

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Objective Describe the development and validation of the Subjective Habitability & Acceptability Questionnaire (SHAQ). Background Habitat area size, layout, and design may impact individual and team behavioral health and performance (BHP) outcomes in operational environments. However, there are no standardized measures of these relationships. Method SHAQ is a modular survey consisting of two 6-item scales: BHP Outcomes ( Performance of Individual Activities, Performance of Group Activities, Mood, Psychological Stress, Sleep, and Social Interactions) and Habitability Moderators ( Privacy, Social Density, Efficiency, Control, Comfort, and Convenience). We collected SHAQ data from NASA’s Human Exploration Research Analog (HERA) crews ( n = 19) in reference to multiple habitat areas (Sleep/Bedroom, Hygiene/Bathroom, Work/Office/Workshop, and Food Preparation/Kitchen/Galley) in the HERA operational environment, private hotel rooms, and individual home habitats. Results SHAQ has high construct validity (single factor solutions, mean item factor loading = 0.760, mean % variance = 60.37), internal consistency and reliability (item mean α = 0.880, mean ω=0.894, mean ICC = 0.430), concurrent validity (mean item r with System Usability Scale = 0.42), and discriminant validity (e.g., significantly higher facilitation of group activities in HERA Work/Office/Workshop and Food Preparation/Kitchen/Galley areas vs. Hygiene/Bathroom and Sleep/Bedroom areas; significantly higher ratings of privacy, comfort, and convenience in hotel vs. HERA). Conclusion SHAQ is a reliable, valid, and sensitive measure of BHP impacts of habitat size and layout. Application SHAQ can be used to inform evidence-based recommendations and thresholds for habitat area size, layout, and design options to support individual and team BHP in operational environments.

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Spacecraft Optimization Layout and Volume (SOLV): Development of a model to assess habitable volume

Cited by 2 publications

References 1 publication

Development of a Task-Design Framework for Quantifying Crew Performance

Development of a Task-Design Framework for Quantifying Crew Performance

The Subjective Habitability & Acceptability Questionnaire (SHAQ): Development and Validation

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