Quantifying Startle and Surprise: Development of Measuring Instruments and Validation in an Aviation Context

Doctoral Thesis (2025)
Author(s)

J. Chen (TU Delft - Aerospace Engineering)

Contributor(s)

M. Mulder – Promotor (TU Delft - Aerospace Engineering)

M.M. van Paassen – Promotor (TU Delft - Aerospace Engineering)

A. Landman – Copromotor (TU Delft - Aerospace Engineering)

Research Group
Control & Simulation
DOI related publication
https://doi.org/10.4233/uuid:9d02fccd-8c3a-45d9-b10a-f84806b370f9 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Control & Simulation
ISBN (print)
978-94-6384-863-3
ISBN (electronic)
978-94-6518-166-0
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Abstract

Unexpected in-flight events can trigger startle and surprise, which could impair pilots’ performance but remain difficult to measure. This dissertation addresses this gap by developing and validating self-report instruments to quantify startle and surprise in an aviation context.
Grounded in cognitive models, real-world incident analyses, and robust psychometric methods, the Startle and Surprise Inventories (Startle-I; Surprise-I) and Visual Analogue Scales (Startle-VAS; Surprise-VAS) are introduced and evaluated. Results from multi-phase studies involving field experts and professional pilots, provide strong evidence of validity and reliability.
The findings offer a scientifically validated framework for assessing pilots’ responses to unexpected events, with broad implications for human factors research, evidence-based training, and safety-critical operations.

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