Investigating the validity of Performance and Objective Workload Evaluation Research (POWER).

Manning, Carol A.; Mills, Scott H.; Fox, C; Pfleiderer, Elaine M.; Mogilka, H J

doi:10.1037/e453392004-001

Cited by 19 publications

(26 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, subjective workload ratings are affected by a component that cannot be derived simply by analyzing recorded data. However, other research has found significant correlations between objective taskload and subjective workload measures (Stein, 1985;Manning, Mills, Fox, Pfleiderer, & Mogilka, 2001), suggesting that using taskload measures alone may provide sufficient information to evaluate the effects of new systems.…”

Section: Introductionmentioning

confidence: 97%

“…The ATWIT aural prompt occurred every four minutes, and participants responded by entering a number between 1 and 7 on a keypad. At the end of each traffic sample, participants completed the other subjective workload assessments, summed errors they had recorded, then completed an over-the-shoulder performance rating form (see Manning et al, 2001, for more details). Completing the training process and observing the three traffic samples for each sector required about 1 Vi hours.…”

Section: Methodsmentioning

confidence: 99%

“…During each traffic sample, participants recorded any mistakes using a behavioral observation form (see Manning et al, 2001, for more details). The ATWIT aural prompt occurred every four minutes, and participants responded by entering a number between 1 and 7 on a keypad.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Using air traffic control taskload measures and communication events to predict subjective workload.

Manning¹,

Mills²,

Fox³

et al. 2002

PsycEXTRA Dataset

Self Cite

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Using air traffic control taskload measures and communication events to predict subjective workload.

Manning¹,

Mills²,

Fox³

et al. 2002

PsycEXTRA Dataset

Self Cite

View full text Add to dashboard Cite

“…Stein contends that individual reactions that cannot be measured influence a controllers' perception of the effects of a particular taskload. However, other research has found significant correlations between objective taskload and subjective workload measures (Stein, 1985;Manning, Mills, Fox, Pfleiderer, & Mogilka, 2001), suggesting that taskload measures may provide sufficient information to allow evaluation of the effects of new systems.…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Air Traffic Control Communication Events and Measures of Controller Taskload and Workload

Manning

Mills²,

Fox

et al. 2002

Air Traffic Control Quarterly

Self Cite

View full text Add to dashboard Cite

A study was conducted to determine whether air traffic control (ATC) communication events (number and duration of controller/ pilot communications) would predict subjective estimates of controller workload as well as taskload measures based on aircraft and controller activities. Analyses were conducted that compared different regression models' predictions of subjective workload estimates made by 16 subject matter experts for 8 samples of air traffic activity. The predictors in the regression models were different combinations of five taskload principal components computed from routinely recorded ATC data and two measures of pilot/controller voice communications. A series of model comparisons was conducted to determine whether a "reduced" regression model containing fewer variables would predict the workload ratings as well as the full model containing all predictors. Several reduced models predicted ATWIT ratings as well as the full model, but a reduced model containing only the communications variables was not as effective. The results suggest that certain voice communications measures add nothing to the prediction of subjective workload, over and above that of taskload.

show abstract

“…research (e.g., Kopardekar & Magyarits, 2003;Manning, Mills, Fox, Pfleider, & Mogilka, 2001). Some researchers have proposed that mental workload can be expressed in terms of the time required for information processing versus time available to do so (Hendy, Liao, & Milgram, 1997;Moray, Dessouky, Kijowski, & Adapathya, 1991).…”

Section: Discussionmentioning

confidence: 99%

The Impact of Time Efficacy on Air Traffic Controller Situation Awareness and Mental Workload

Yang

Rantanen

Zhang

2009

The International Journal of Aviation Psychology

View full text Add to dashboard Cite

Time efficacy reflects people's perception of control time and evaluation of time management behaviors, and potentially influences situation awareness (SA) and mental workload experienced by air traffic controllers. In this study, a total of 31 air traffic controller trainees, assigned to a high or low time efficacy group, completed 2 scenarios with few or many aircraft simultaneously in the sector. The results showed that the high time efficacy group maintained better SA and experienced lower mental workload. The findings have implications for the selection, training, and work shift arrangements of air traffic controllers.Time is an essential characteristic of air traffic control (ATC) as well as the principal constraint in the air traffic controller's job, which routinely involves dividing attention among multiple sources of information and performing multiple tasks nearly simultaneously under, at times, severe time pressure. Attention and switching attention require time (Hopkin, 1995), as does performing control actions. The latter are predominantly mediated by voice communications between controllers and pilots and between controllers in different sectors. The highly redundant com-

show abstract

Investigating the validity of Performance and Objective Workload Evaluation Research (POWER).

Cited by 19 publications

References 9 publications

Using air traffic control taskload measures and communication events to predict subjective workload.

Using air traffic control taskload measures and communication events to predict subjective workload.

The Relationship between Air Traffic Control Communication Events and Measures of Controller Taskload and Workload

The Impact of Time Efficacy on Air Traffic Controller Situation Awareness and Mental Workload

Contact Info

Product

Resources

About