Augmented reality to reduce cognitive load in operational decision-making

Moncur, Bethan, Galvez Trigo, Maria ORCID: https://orcid.org/0000-0001-6492-0955 and Mortara, Letizia 2023. Augmented reality to reduce cognitive load in operational decision-making. Presented at: HCI International 2023, 23-28 July 2023. Augmented Cognition. HCII 2023. Lecture Notes in Computer Science. , vol.14019 Springer, 10.1007/978-3-031-35017-7_21 Item availability restricted.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Springer
ISBN:	978-3-031-35017-7
Date of Acceptance:	13 December 2022
Last Modified:	30 Nov 2023 09:45
URI:	https://orca.cardiff.ac.uk/id/eprint/158547

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