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Improving the measurement of attentional conflict resolution

Citation

Kucina, T and Wells, L and Lewis, I and Sauer, J and Palmer, M and de Salas, K, Improving the measurement of attentional conflict resolution, Proceedings of the 2021 Defence Human Sciences Symposium, 29 November 2021 - 1 December 2021, Virtual Conference, Online (Melbourne, Australia) (In Press) [Refereed Conference Paper]

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Abstract

Defence-force personnel must sustain optimal performance under pressure. In a transdisciplinary Delphi study (Albertella et al., 2021) the RDoC "attention" construct was selected as a key cognitive systems capacity enabling optimal performance. One of the principle attention components required for high performance is resolving response conflicts by selectively attending to relevant information and inhibiting irrelevant information. This is measured in a range of "conflict" tasks where the irrelevant information comes from the automatic habits (reading in the Stroop task, e.g., name the print colour of "GREEN"; MacLeod, 1991), the locations of the decision stimulus (the Simon task, e.g., when a signal occurring on the left requires a right-hand response, Hommel, 2011) or visually adjacent stimuli (e.g., the Flanker task, which direction does the central arrow point "<<><<"; Eriksen, 1995). Unfortunately, over the last few years it has become accepted that reliable measurement of individual differences in these tasks requires participants to complete many more trials and/or to use tasks with larger effect sizes than are typical of existing cognitive batteries (Hedge et al., 2018a).

Item Details

Item Type:Refereed Conference Paper
Keywords:cognitive psychology, serious games
Research Division:Information and Computing Sciences
Research Group:Graphics, augmented reality and games
Research Field:Serious games
Objective Division:Defence
Objective Group:Defence
Objective Field:Emerging defence technologies
UTAS Author:Kucina, T (Ms Talira Kucina)
UTAS Author:Wells, L (Mr Lindsay Wells)
UTAS Author:Lewis, I (Dr Ian Lewis)
UTAS Author:Sauer, J (Associate Professor Jim Sauer)
UTAS Author:Palmer, M (Associate Professor Matt Palmer)
UTAS Author:de Salas, K (Associate Professor Kristy de Salas)
ID Code:147228
Year Published:In Press
Deposited By:Information and Communication Technology
Deposited On:2021-10-19
Last Modified:2021-11-05
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