Augmented Reality to Reduce Cognitive Load in Operational Decision-Making

Moncur, Bethan, Galvez Trigo, Maria J. and Mortara, Letizia (2023) Augmented Reality to Reduce Cognitive Load in Operational Decision-Making. In: HCI International 2023, 23-28 July 2023, Copenhagen, Denmark.

Augmented Reality to Reduce Cognitive Load in Operational Decision-Making
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Augmented reality (AR) technologies can overlay digital in- formation onto the real world. This makes them well suited for deci- sion support by providing contextually-relevant information to decision- makers. However, processing large amounts of information simultane- ously, particularly in time-pressured conditions, can result in poor decision- making due to excess cognitive load. This paper presents the results of an exploratory study investigating the effects of AR on cognitive load. A within-subjects experiment was conducted where participants were asked to complete a variable-sized bin packing task with and without the as- sistance of an augmented reality decision support system (AR DSS). Semi-structured interviews were conducted to elicit perceptions about the ease of the task with and without the AR DSS. This was supple- mented by collecting quantitative data to investigate if any changes in perceived ease of the task translated into changes in task performance. The qualitative data suggests that the presence of the AR DSS made the task feel easier to participants; however, there was only a statistically in- significant increase in mean task performance. Analysing the data at the individual level does not provide evidence of a translation of increased perceived ease to increased task performance.

Keywords:Augmented reality, decision-making, Decision support systems, cognitive load, Ease, Performance
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G440 Human-computer Interaction
Divisions:College of Science > School of Computer Science
ID Code:53555
Deposited On:23 May 2023 13:39

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