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.
Get full access to this article
View all access options for this article.
References
1.
BasnerM.MooreT. M.HermosilloE.NasriniJ.DingesD. F.GurR. C.JohannesB. (2020). Cognition Test Battery Performance Is Associated with Simulated 6df Spacecraft Docking Performance. Aerospace medicine and human performance, 91(11), 861–867. https://doi.org/10.3357/AMHP.5602.2020
2.
BockO.WeigeltC.BloombergJ. J. (2010) “Cognitive demand of human sensorimotor performance during an extended space mission: a dual-task study,”Aviat. Space Environ. Med., vol. 81, no. 9, pp. 819–824, Sep. 2010, doi: 10.3357/asem.2608.2010.
3.
FanchiangC.MarquezJ. J.KlausD. M. (2020) “A Framework for Relating Crew Member Performance Measures to Spacecraft Design and Operations,”New Space, vol. 8, no. 4, pp. 193–200, Dec. 2020, doi: 10.1089/space.2020.0033.
4.
FanchiangC.SeyedmadaniK.ShelhamerM.ZeroM.KlausD. (2021) “Characterizing a Biosignal Sensor Suite as an Approach for Astronaut Performance Model Validation,” Proceedings of the 50th International Conference on Environmental Systems. Jul. 12-14, 2021.
5.
HancockP. A.BillingsD. R.SchaeferK. E.ChenJ. Y.de VisserE. J.ParasuramanR. (2011). A meta-analysis of factors affecting trust in human-robot interaction. Human factors, 53(5), 517–527. https://doi.org/10.1177/0018720811417254
6.
HockeyG. R. J.GaillardA.BurovO. (2003) Operator Functional State: The Assessment and Prediction of Human Performance Degradation in Complex Tasks, vol. 355. 2003. Accessed: Sep. 30, 2021. [Online].
7.
KieranC.DoormanM.OhtaniM. (2015). Frameworks and Principles for Task Design. In: WatsonA.OhtaniM. (eds) Task Design In Mathematics Education. New ICMI Study Series. Springer, Cham. https://doi.org/10.1007/978-3-31909629-2_2
8.
LohaniM.PayneB. R.StrayerD. L. (2019) “A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving,” Front. Hum. Neurosci., vol. 13, 2019, doi: 10.3389/fnhum.2019.00057.
9.
MarquezJ.J.FearyM.ZumbadoJ.R.BillmanD. (2013). Evidence Report. Risk of Inadequate Design of Human Automation/Robotic Integration. NASA Human Research Program Space Human Factors and Habitability Element.
10.
MindockJ.A.KlausD. M. (2014). “Contributing Factor Map: A Taxonomy of Influences on Human Performance and Health in Space,” in IEEE Transactions on Human-Machine Systems, vol. 44, no. 5, pp. 591-602, Oct. 2014, doi: 10.1109/THMS.2014.2328971.
11.
ShafferF.GinsbergJ. P. (2017) “An Overview of Heart Rate Variability Metrics and Norms,” Front. Public Health, vol. 5, p. 258, Sep. 2017, doi: 10.3389/fpubh.2017.00258.
12.
SpieringB. A.WalkerL. A.LarcomK.FrykmanP. N.AllisonS. C.SharpM. A (2021) Predicting Soldier Task Performance From Physical Fitness Tests: Reliability and Construct Validity of a Soldier Task Test Battery, Journal of Strength and Conditioning Research: October2021 - Volume 35 - Issue 10 - p 2749-2755 doi: 10.1519/JSC.0000000000003222
13.
ThaxtonS.S.ChenM.HsiangS.LimC.MeyersJ.G.WaldS.I. (2017). Spacecraft Optimization Layout and Volume (SOLV): Development of a model to assess habitable volume. 2017 IEEE Aerospace Conference, 1-16.
14.
ThomasJ.GriffinR. (1983). The social information processing model of task design: A review of the literature. Academy of Management Review, 8(4), 672-682.
15.
WilsonG. F.RussellC. A. (2003). Operator Functional State Classification Using Multiple Psychophysiological Features in an Air Traffic Control Task. Hum. Factors, vol. 45, no. 3, pp. 381–389, Sep. 2003, doi: 10.1518/hfes.45.3.381.27252.
