The Impact of Guidance Information on Checkout Efficiency and User Experience in Supermarket Self-Checkout Machines

In recent years, numerous retail conglomerates have adopted self-checkout technologies to enhance accuracy, streamline in-store processes, and mitigate labor expenses, thereby catalyzing the expansion of the self-checkout system market. Nonetheless, due to consumer apprehensions regarding the utilization of self-checkout services, additional personnel are still required on-site, indicating that the usability and user experience of self-checkout systems necessitate further refinement. Consequently, this investigation delves into the usability and user experience of supermarket self-checkout services. Through scenario-based tasks in the preliminary research, which includes usability assessments, cognitive load evaluations, and semi-structured interviews, it was discovered that users, particularly during their initial interaction with the machine and amidst queueing crowds, displayed heightened cognitive strain and error rates. Based on these findings, we optimized the self-checkout interface and operational procedures, proposing designs for 2 × 2 interface styles and guidance cues, which underwent testing in a subsequent experiment. The experimental results indicated: (a) Photo-based guidance cues proved more efficacious compared to illustrated cues. (b) Users primarily rely on visual cues when seeking nearby equipment, with other interface cues serving a secondary function. (c) Clearly distinguishing button menus and frequently used options in the checkout information enabled users to promptly discern key points and seamlessly finalize their transactions. Drawing from the findings of this study, we propose design recommendations. Future machine designs should prioritize swift, accurate operations, and an enhanced interactive experience.

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Publication Details

Journal
SAGE Open
Published
2025-10-01
DOI
https://doi.org/10.1177/21582440251404195
Primary Topic
Human-Automation Interaction and Safety
Type
article
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article

The Impact of Guidance Information on Checkout Efficiency and User Experience in Supermarket Self-Checkout Machines

Szu-Chi Chen, Meng-Cong Zheng, Pei–Ming Yang
SAGE Open
Human-Automation Interaction and Safety
article

The Impact of Guidance Information on Checkout Efficiency and User Experience in Supermarket Self-Checkout Machines

Szu-Chi Chen, Meng-Cong Zheng, Pei–Ming Yang
article en

Abstract

In recent years, numerous retail conglomerates have adopted self-checkout technologies to enhance accuracy, streamline in-store processes, and mitigate labor expenses, thereby catalyzing the expansion of the self-checkout system market. Nonetheless, due to consumer apprehensions regarding the utilization of self-checkout services, additional personnel are still required on-site, indicating that the usability and user experience of self-checkout systems necessitate further refinement. Consequently, this investigation delves into the usability and user experience of supermarket self-checkout services. Through scenario-based tasks in the preliminary research, which includes usability assessments, cognitive load evaluations, and semi-structured interviews, it was discovered that users, particularly during their initial interaction with the machine and amidst queueing crowds, displayed heightened cognitive strain and error rates. Based on these findings, we optimized the self-checkout interface and operational procedures, proposing designs for 2 × 2 interface styles and guidance cues, which underwent testing in a subsequent experiment. The experimental results indicated: (a) Photo-based guidance cues proved more efficacious compared to illustrated cues. (b) Users primarily rely on visual cues when seeking nearby equipment, with other interface cues serving a secondary function. (c) Clearly distinguishing button menus and frequently used options in the checkout information enabled users to promptly discern key points and seamlessly finalize their transactions. Drawing from the findings of this study, we propose design recommendations. Future machine designs should prioritize swift, accurate operations, and an enhanced interactive experience.

SAGE OpenVol. 15(4)
National Taipei University of Technology (TW), National Taiwan University of Science and Technology (TW)
Openalex Percentile: Top 56%
Human-Automation Interaction and Safety
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The Impact of Guidance Information on Checkout Efficiency and User Experience in Supermarket Self-Checkout Machines — Szu-Chi Chen, Meng-Cong Zheng, et al. · SAGE Open (2025) | TGRS Research Map | TGRS