OpenMATB: A Multi-Attribute Task Battery promoting task customization, software extensibility and experiment replicability

Cegarra, Julien; Valéry, Benoît; Avril, Eugénie; Calmettes, Christophe; Navarro, Jordan

doi:10.3758/s13428-020-01364-w

Cited by 32 publications

(16 citation statements)

References 18 publications

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“…The participants performed the open-source version of the Multi-Attribute Task Battery (openMATB; Cegarra et al 2020), which represents a low-fidelity flight simulator. It requires individuals to execute four flight-like tasks simultaneously: in the tracking task, individuals need to steer a circle as close to the center of a hair cross as possible using a joystick, which resembles steering an aircraft.…”

Section: Low-fidelity Flight Simulator (Multi-attribute Task Battery)mentioning

confidence: 99%

“…The participants performed the Multi-Attribute Task Battery (openMATB; Cegarra et al, 2020) in four conditions: either employing a stable or a flexible cognitive control instruction, and either on their own or in teams of two. The MATB comprises four subtasks (tracking, system monitoring, communications, and resource management) to simulate flight performance.…”

Section: Figurementioning

confidence: 99%

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Always in (partner) action? Working in teams may improve simulated flight performance – but only in the apt cognitive control state

Stasch,

Mack,

Hilla

2024

Preprint

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Multitasking abilities are vital for conducting flight missions. Traditional theories of multitasking suggest that cognitive resources represent a determining factor of said performance. The current study takes a different approach by investigating how the stability?flexibility-dilemma of cognitive control influences multitasking performance in a simulated flight environment. Besides, we investigate how this dilemma interacts with performance and workload when an additional partner is present. For this purpose, 42 participants were recruited to perform the Multi-Attribute Task Battery (MATB) in two different experimental conditions. Initially, participants performed the MATB alone either in a stable or flexible control mode, which was manipulated via a gamification method (assessment 1). Afterward, two participants performed the MATB together as a team – again in a stable and flexible control mode (assessment 2). Results indicate that the stability-flexibility-dilemma affected the participants’ individual task performance. Furthermore, the participants’ performance improved in teams. However, this effect depended on subtask characteristics and the operated cognitive control mode. Implications for the design of adaptive assistance systems and suggestions for future research are discussed.

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Section: Low-fidelity Flight Simulator (Multi-attribute Task Battery)mentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Always in (partner) action? Working in teams may improve simulated flight performance – but only in the apt cognitive control state

Stasch,

Mack,

Hilla

2024

Preprint

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“…It comprises math, monitoring, auditory discrimination, and alertness tasks -which are subtasks similar to tasks infantry soldiers may conduct during military operations (Elsmore, 1994;Hambrick et al, 2010). Furthermore, the Multi-Attribute Task Battery (MATB) (Cegarra et al, 2020) illustrates another good example. It consists of manual tracking, system monitoring, auditory memory, and resource management tasks to simulate a flight scenario.…”

Section: Predicting Military Multitaskingmentioning

confidence: 99%

“…For this, we compared how well laboratory multitasking performance assessments based on a dual-task and a multitasking scenario paradigm approach predicted multitasking performance during a simulated military operation of officer cadets enrolled as students at the University of the Bundeswehr Munich (Germany). Thus, multitasking was operationalized by comparing individuals' performance in a single-compared to a dual-task condition when solving math problems and memorizing radio signals; and by their performance in the opensource version of the MATB (Cegarra et al, 2020). Military multitasking in the open field, in contrast, was operationalized by means of individuals' decrements in shooting performance in a training facility using a multi-task paradigm approach.…”

Section: Predicting Military Multitaskingmentioning

confidence: 99%

Multi-attribute task battery performance predicts military multitasking better than multitasking costs

Hilla¹,

Stefani²,

Nitzschner³

et al. 2023

Preprint

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Successfully conducting military operations requires proficient multitasking. Thus, it is essential to sufficiently assess soldiers’ multitasking abilities before deployment to predict their success in the open field. There are two established approaches to operationalize multitasking: either using a multi-/dual-task paradigm or assessing individuals’ performance in several subtasks building a cohesive multitasking scenario. However, it is unclear if and which approach may be more suitable for predicting military multitasking. To investigate this, we recruited 25 students/officer candidates of the University of the Bundeswehr in Munich to perform multitasking based on a dual-task paradigm and a multitasking scenario in the laboratory, and military multitasking in a shooting gallery. For the dual-task, individuals were asked to solve math equations and memorize radio signals in single- compared to dual-task conditions. For the multitasking scenario, individuals were required to perform the multi-attribute task battery (MATB), which includes four subtasks to simulate a flight scenario. For military multitasking, individuals were supposed to execute a shooting exercise and perform the same math and radio tasks as performed in the laboratory in single-/dual- and triple -task conditions, simultaneously. We expected the dual-task assessment in the laboratory to predict military multitasking better, given that both tasks shared very similar task requirements. In contrast, we found moderate evidence in favor of individuals’ MATB performance serving as the best predictor of military multitasking, using Bayesian hierarchical regression analyses. Thus, multitasking scenario performance may be more suitable for predicting military multitasking. A general multitasking ability might explain this effect.

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“…Turning this into a speeded judgment will help capturing the effects of interventions on reaction time and information processing speed. Although task customization is di cult in MATB-II (as the source code is not freely available), the recently launched open-source variant OpenMATB(Cegarra et al, 2020) may uncover this possibility.Our ndings also show that eye blink and heart rate measurements mimicked subjective (self-report) measures of sleepiness. This has great potential for testing intervention effects in real-life, as the use of such technologies allows for an assessment of sleepiness and vigilance without relying on explicit responses from professionals (and hence interrupting their professional duties).…”

mentioning

confidence: 99%

A comparison of coffee effects on vigilance and attention in pilots across simple and complex lab environments

Bergen,

Miltenburg,

Stiphout

et al. 2023

Preprint

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Professionally realistic multi-task environments, such as the NASA Multi-Attribute Task Battery (MATB-II), are employed for measuring vigilance and attention in professionals. However, it is unclear whether well-known intervention effects on performance during simple lab-based tasks, such as those of caffeine, also translate to these more realistic working situations. In a preregistered, double-blind, randomized, controlled repeated-measures experiment (https://osf.io/2zubx), we compared the performance of thirty-five civil pilots during vigilance- and attention-related tasks in simple (psychomotor vigilance task; auditory oddball detection) versus multitask environments (MATB-II system monitoring; MATB-II communications) after consuming regular vs. decaffeinated coffee. For vigilance tasks, no coffee intervention effects were found. Instead, a reversed task repetition effect was found, with participants being slower in session 2 in the simple task environment, but faster in session 2 in the complex environment. For attention-related tasks, regular coffee improved performance accuracy in the simple, but not the multitask environment. Coffee versus decaf effects in the simple task environment did not correlate with those in the complex task environment, neither for vigilance nor for selective attention. However, an experiment-wide increase in sleepiness was attenuated if participants drank regular coffee in the second session. This finding was supported by heart rate and eye blink measures. Results suggest that intervention-related findings do not easily translate to different vigilance- and attention-related tasks if task environments differ in complexity. The MATB-II multi-task environment, in its current form, is perhaps more suitable for assessing intervention effects on physiological measures of fatigue and vigilance than on cognitive performance.

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OpenMATB: A Multi-Attribute Task Battery promoting task customization, software extensibility and experiment replicability

Cited by 32 publications

References 18 publications

Always in (partner) action? Working in teams may improve simulated flight performance – but only in the apt cognitive control state

Always in (partner) action? Working in teams may improve simulated flight performance – but only in the apt cognitive control state

Multi-attribute task battery performance predicts military multitasking better than multitasking costs

A comparison of coffee effects on vigilance and attention in pilots across simple and complex lab environments

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