Mental Workload and Situation Awareness

Vidulich, Michael A.; Tsang, Pamela S.

doi:10.1002/9781118131350.ch8

Cited by 86 publications

(66 citation statements)

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“…In spite of individual differences, MW has two main determinants: exogenous task demands as specified by factors such as task difficulty, accuracy, and time requirement, and endogenous supply of attentional or processing resources such as perceiving, updating memory, and decision making [1]. In the present study, information amount, time pressure, and the integrated performance value of visual coding are applied to quantize exogenous task demands, while the attentional allocation factor quantizes the endogenous resource supply.…”

Section: Model Developmentmentioning

confidence: 99%

“…By now, plenty of studies belong to empirical workload measures. The disadvantage is that they discover the design problem after the fact, and there is a high economic cost [1]. Prior analysis of the operator's MW in the humanmachine system can be adopted in both MW prediction and evaluation.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, researchers propose the mental workload (MW) concept to optimize the display number and coding method of flight information on the cockpit display interface, which will decrease human error and increase system reliability and operator comfort [2]. Ever since MW was first defined in the 1970s [1], researchers have expatiated the effects of MW on humans in dynamic systems through different angles. Parasuraman, et al defined MW as the functional relationship between the mental resources demanded by a task and the available mental resources provided by the operator [2].…”

Section: Introductionmentioning

confidence: 99%

“…Whether the pilot can perform the flight task successfully largely depends on monitoring a plurality of flight indicators and understanding flight information correctly. Fitts, et al found that 18% of flight accidents derived from pilots' errors in comprehensive interpretation of flight indicator information [1]. Therefore, researchers propose the mental workload (MW) concept to optimize the display number and coding method of flight information on the cockpit display interface, which will decrease human error and increase system reliability and operator comfort [2].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Mental workload prediction based on attentional resource allocation and information processing

Xiao

Wanyan

Zhuang

2015

BME

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Abstract.Mental workload is an important component in complex human-machine systems. The limited applicability of empirical workload measures produces the need for workload modeling and prediction methods. In the present study, a mental workload prediction model is built on the basis of attentional resource allocation and information processing to ensure pilots' accuracy and speed in understanding large amounts of flight information on the cockpit display interface. Validation with an empirical study of an abnormal attitude recovery task showed that this model's prediction of mental workload highly correlated with experimental results. This mental workload prediction model provides a new tool for optimizing human factors interface design and reducing human errors.

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Section: Model Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mental workload prediction based on attentional resource allocation and information processing

Xiao

Wanyan

Zhuang

2015

BME

View full text Add to dashboard Cite

show abstract

“…This is an important measurement because it provides awareness as to where increased task demands within user operations may lead to poor or unacceptable performance (Cain, 2007). Mental workload and situation awareness have three major categories of measures based upon the nature of data collected: performance, subjective ratings and physiological measures (Vidulch & Tsang, 2012). Therefore, this research will use subjective ratings and physiological measures to evaluate mental workload in this experimental design.…”

Section: Research Objectivesmentioning

confidence: 99%

Assessing the Effects of Multimodal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles

2015

IJUSEng

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Human supervisory control (HSC) systems that require intermittent human input of commands to create actions within the system are helpful in reducing the human's mental workload (MWL). HSC systems are commonly employed in the piloting and control of unmanned aerial vehicles (UAVs). As the ratio of UAVs to operators increases there is a clear need to understand the effort required to complete task requirements. Specifically, this research explored MWL relative to multi-modal communications using subjective and physiological measures. To accomplish this, a cognitive model was developed to understand the relationship between tasks and MWL. MWL was manipulated by measuring three in-flight variables: increased communication tasks, task interruptions, and a combination of these two variables. Results showed that task interruptions have the greatest influence on MWL suggesting that reducing the tasks complexity rather than number of UAVs, would be more effective in reducing operator workload.

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