@misc{hilla-multiattribute-task-battery-2024,
  title = {Multi-Attribute Task Battery Performance Predicts Military Multitasking Better than Multitasking Costs},
  author = {Hilla, Y. and Stefani, M. and Nitzschner, M. and Mack, W.},
  year = 2024,
  month = jan,
  howpublished = {OSF Preprints},
  doi = {10.31234/osf.io/5hqp2},
  abstract = {Military operations require multitasking. Dual-task paradigms and individuals' performance in cohesive multitasking scenarios allow to operationalize multitasking. However, it is unclear which approach is more suitable for predicting military performance. Thus, we recruited 25 students/officer cadets of the University of the Bundeswehr in Munich (Germany) to perform a dual-task and a multitasking scenario in the laboratory and military multitasking in a shooting gallery to investigate which laboratory measure predicted military performance best. In the laboratory, individuals were to solve math problems and memorize radio signals in single- and dual-task conditions. Moreover, they were to perform the Multi-Attribute Task Battery. In the shooting gallery, they conducted a shooting exercise, while performing similar math and radio tasks as previously in the laboratory. We expected individuals' dual-task performance to predict military multitasking best, given that both conditions shared task requirements. Using Bayesian regression analyses and model fit comparisons, we found however moderate evidence in favor of individuals' Multi-Attribute Task Battery performance predicting military multitasking best. Bayesian Markov-Chain-Monte-Carlo simulations compensated for the relatively small sample size. Nevertheless, a replication of the effect is required to test its robustness. Moreover, further research will be required to determine if it translates to other military task areas.}
}