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Abstract

The electric vertical takeoff and landing (eVTOL) is believed to be the future of transportation. Startup companies have proposed eVTOLs with simplified control systems. A typical example is the single-joystick control system, which controls the longitudinal, lateral and yaw movement of the eVTOL by a single joystick. However, little is known about what control parameters can meet the users’ needs of eVTOL dynamics. Thus, a flight simulator experiment with 46 participants was conducted on a six-degree-of-freedom (6-DOF) eVTOL flight simulator. We investigated how users’ personality traits can affect their preferred eVTOL control parameters, which were identified by an adaptive staircase procedure. Then, hierarchical clustering based on the preferred control parameters revealed two distinct user groups. Further, higher conscientiousness, emotional stability, and extraversion were associated with a higher preference for more sensitive control parameters. These findings highlight the importance of considering individual heterogeneity when designing the eVTOL control systems.

Keywords

eVTOL human factors and behavior urban air mobility pilot UAM

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References

AeroHT. (2024). Home. AeroHT. Retrieved April 27, 2025, from https://www.aeroht.com/

Barron

L. G.

Carretta

T. R.

Bonto-Kane

M. V. A.

(2016). Relations of personality traits to military aviator performance. Aviation Psychology and Applied Human Factors, 6(2), 57–67.

Bauranov

Rakas

(2019). Urban air mobility and manned eVTOLs: Safety implications [Conference session]. 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, CA, USA, pp. 1–8.

Breuer

Ortner

T. M.

Gruber

F. M.

Hofstetter

Scherndl

(2023). Aviation and personality: Do measures of personality predict pilot training success? Updated meta-analyses. Personality and Individual Differences, 202, Article 111918.

Costa

P. T.

McCrae

R. R.

(2008). The revised neo personality inventory (NEO-PI-R). In Boyle

G. J.

Matthews

Saklofske

D. H.

(Eds.), The SAGE handbook of personality theory and assessment, Vol. 2. Personality measurement and testing (pp. 179–198). Sage Publications, Inc.

Davies

D. R.

Matthews

Stammers

R. B.

Westerman

S. J.

(2013). Human performance: Cognition, stress and individual differences. Psychology Press.

Emerson

S. N.

Rizzardo

Waggenspack

Osman

M. C.

Halverson

K. C.

Ellis

Haley

(2023). eVTOL flight: Forecasting future training requirements in an emerging aviation market (No. 2023-01-1009). SAE Technical Paper.

Fein

E. C.

Klein

H. J.

(2011). Personality predictors of behavioral self-regulation: Linking behavioral self-regulation to five-factor model factors, facets, and a compound trait. International Journal of Selection and Assessment, 19(2), 132–144.

Golding

J. F.

(2006). Predicting individual differences in motion sickness susceptibility by questionnaire. Personality and Individual Differences, 41(2), 237–248.

10.

Golding

J. F.

Rafiq

Keshavarz

(2021). Predicting individual susceptibility to visually induced motion sickness by questionnaire. Frontiers in Virtual Reality, 2, Article 576871.

11.

Gosling

S. D.

Rentfrow

P. J.

Swann

W. B.

Jr. (2003). A very brief measure of the big-five personality domains. Journal of Research in Personality, 37(6), 504–528.

12.

Hidalgo-Muñoz

A. R.

Mouratille

El-Yagoubi

Rouillard

Matton

Causse

(2021). Conscientiousness in pilots correlates with electrodermal stability: Study on simulated flights under social stress. Safety, 7(2), 49.

13.

Kanki

B. G.

Anca

Chidester

T. R.

(Eds.). (2019). Crew resource management. Academic Press.

14.

Khorramdel

Kubinger

K. D.

Uitz

(2014). The influence of item order on intentional response distortion in the assessment of high potentials: Assessing pilot applicants. International Journal of Psychology, 49(2), 131–139.

15.

Levitt

H. C. C. H

. (1971). Transformed up-down methods in psychoacoustics. The Journal of the Acoustical Society of America, 49(2B), 467–477.

16.

J. G.

Liu

X. L.

Liao

Wang

(2020). Disentangling stereotypes from social reality: Astrological stereotypes and discrimination in China. Journal of Personality and Social Psychology, 119(6), 1359.

17.

Luciani

Veneziani

Ciacchella

Rocchi

Reho

Gennaro

Lai

(2022). Safety at high altitude: The importance of emotional dysregulation on pilots’ risk attitudes during flight. Frontiers in Psychology, 13, Article 1042283.

18.

Matthews

(2008). Personality and information processing: A cognitive-adaptive theory. Handbook of Personality Theory and Assessment, 1, 56–79.

19.

McCrae

R. R.

(2020). The five-factor model of personality: Consensus and controversy. In Corr

P. J.

Matthews

(Eds.), The Cambridge handbook of personality psychology (2nd ed., pp. 129–141). Cambridge University Press.

20.

McCrae

R. R.

John

O. P.

(1992). An introduction to the five-factor model and its applications. Journal of Personality, 60(2), 175–215.

21.

Mian

Jaffry

(2020). Modeling of individual differences in driver behavior. Journal of Ambient Intelligence and Humanized Computing, 11(2), 705–718.

22.

Mumford

M. D.

Baughman

W. A.

Threlfall

K. V.

Uhlman

C. E.

Costanza

D. P.

(1993). Personality, adaptability, and performance: Performance on well-defined problem solving tasks. Human Performance, 6(3), 241–285.

23.

Wang

Pan

Jiang

(2020). Research on influencing factor selection of pilot’s intention. International Journal of Aerospace Engineering, 2020(1), Article 4294538.

The Influence of Personality Traits on Users’ Preference for eVTOL Control Parameters

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