An Application of Measurement Methods to Improve the Quantitative Nature of Pilot Rating Scales

McDonnell, J.D.

doi:10.1109/tmms.1969.299887

Cited by 18 publications

(3 citation statements)

References 6 publications

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“…It is important to note that, when properly constructed using sophisticated scaling techniques, subjective scales are reliable and valid, and can be shown to have equal interval or even ratio metrics. See, for example, McDonnell (1969). A typical scale will ask operators questions such as, 'C~n a scale from 1 (&dquo;not at all&dquo;) to 10 (&dquo;completely&dquo;) how much do you trust the feedstock pump to keep the inventory level constant?'.…”

Section: Domains Of Research On Trustmentioning

confidence: 99%

Laboratory studies of trust between humans and machines in automated systems

Moray

Inagaki

1999

Transactions of the Institute of Measurement and Control

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In supervisory control, operators are expected to monitor automation and to intervene if there is an opportunity to improve system productivity or if faults develop which cannot be managed by the automation. Central to how humans interact with automation is the degree to which they trust the system to perform well and handle unforeseen events. This paper summarises recent laboratory experiments and theoretical models, both quantitative and qualitative, of the dynamics of trust between humans and machines and discusses the calibration of trust and the problem of allocating responsibility for control between human and machine.

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Section: Domains Of Research On Trustmentioning

confidence: 99%

Laboratory studies of trust between humans and machines in automated systems

Moray

Inagaki

1999

Transactions of the Institute of Measurement and Control

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“…Operator ratings are reliable measures, which are consistently related to performance (5,6], They are easy to obtain and have the "face validity" of representing the operator's own estimate of the subjective phenomenon of mental work load. With careful attention to design, rating scales yield quantitative resuits that can be used to gauge points beyond which errors or time overruns may increase greatly.…”

Section: Moira Lemay and Eric Hirdmentioning

confidence: 99%

Operator work load: when is enough enough?

Lemay

Hird

1986

Commun. ACM

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“…For example, Wierwille and Connor (1983) showed that the scale was quite sensitive to changes in turbulence level and longitudinal stability in an instrument landing task. Variations of the original scale have also appeared, but they too have been directed primarily towards manual control applications (McDonnell 1969, North and Graffunder 1979, O'Connor and Buede 1977, Seifert et al 1972, Wolf 1978.…”

mentioning

confidence: 99%

Evaluation of decision-tree rating scales for mental workload estimation

1986

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Recent studies suggest that a decision-tree rating scale called the Modified Cooper-Harper (MCH) rating scale is a globally sensitive indicator of change in mental loading (Wienville and Casali 1983a). The present study was directed at developing refinements in the scale and at obtaining additional background information. The MCH scale and five design variations of the scale were studied in two independent aircraft-simulator experiments. Aspects studied were the decisiontree structure, the number of categories, the d&ision.:sequence and the effects of computer implementation. Results using the rating scales indicate that the MCH scale and its computerized version are generally more consistent than the others. Attendant questionnaire results indicate that pilots base their ratings on the same factors that researchers believe are the important elements of the multidimensional construct of workload.

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An Application of Measurement Methods to Improve the Quantitative Nature of Pilot Rating Scales

Cited by 18 publications

References 6 publications

Laboratory studies of trust between humans and machines in automated systems

Laboratory studies of trust between humans and machines in automated systems

Operator work load: when is enough enough?

Evaluation of decision-tree rating scales for mental workload estimation

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