• Journal of Digital Convergence
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• v.17 no.3
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• pp.389-394
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• 2019

The purpose of this study is to suggest guideline for better user experience of unmanned store focusing on the Seven Eleven signature. The case study was conducted to investigate the characteristics of unmanned stores in the US and China, and to conduct comparative studies with the Seven Eleven Signature Store. As a result, I was able to derive 7 items, Easy, Simplified, Accessible, Findable, Informative, Flexible, Credible that help to improve the shopping experience. We hope that the follow up study will help to improve the unmanned store in Korea and improve the experience.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.791-800
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• 2024

The cashierless store, which is rapidly spreading with the development of AI, is providing new shopping experiences to customers. However, the existing retail service research mainly focused on evaluation based on employees (people). This study was initiated to evaluate services by reorganizing these service evaluations according to the characteristics of cashierless store. In addition, the effect of the service experience characteristics of AI cashierless store on customers' positive or negative emotions was identified, and the effect on revisit intention was verified. As a result of this study, it was confirmed that the service experience characteristics of AI cashierless store had some effect on emotional response. In addition, it was confirmed that the positive emotional response caused by the characteristics of the AI cashierless store service experience induces revisiting, but the negative emotional response hinders revisiting. The results of this study are expected to contribute to the research and development of AI cashierless store services.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.77-89
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• 2024

This paper presents an unmanned store management system that can provide inventory management and theft prevention for displayed products using a small camera that can monitor the shelves of sold products in small and medium-sized stores. This system is a service solution that integrates object recognition, real-time communication, security management, access management, and mobile authentication. The proposed system uses a custom YOLOv5-x model to recognize objects on the display, measure quantities in real time, and support real-time data communication with servers through Raspberry Pie. In addition, the number of objects in the database and the object recognition results are compared to detect suspected theft situations and provide burial images at the time of theft. The proposed unmanned store solution is expected to improve the efficiency of small and medium-sized unmanned store operations and contribute to responding to theft.

• Annual Conference of KIPS
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• 2023.11a
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• pp.581-582
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• 2023

코로나 19 이후 무인매장에 대한 수요가 꾸준히 증가하며 빠른 시장 규모 성장을 보이고 있다. 그러나 관리자의 부재로 감시가 어렵고 즉각적인 대응이 불가능한 환경으로 인해 도난 문제 또한 꾸준히 발생하고 있다. 본 논문은 YOLO 객체인식 기술을 활용한 무인매장 도난 감지 시스템과 실시간 메일 알림 기능을 제안한다. 이를 통해 무인매장에서 발생하는 도난 범죄를 예방하고, 즉각적인 조치를 가능하게 함으로써 보다 안전하고 효율적으로 무인매장을 관리할 수 있게 한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.245-261
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• 2024

The COVID-19 pandemic has led to the widespread adoption of contactless transactions, resulting in a noticeable increase in the trend towards fully unmanned stores. In such stores, all operational processes are automated, primarily using artificial intelligence (AI) technology. However, this AI technology has several security vulnerabilities, which can be critical in the environment of fully unmanned stores. This paper analyzes the security vulnerabilities that AI-based fully unmanned stores may face, focusing particularly on the object detection model YOLO, demonstrating that Hiding Attacks and Altering Attacks using adversarial patches are possible. It is confirmed that objects with adversarial patches attached may not be recognized by the detection model or may be incorrectly recognized as other objects. Furthermore, the paper analyzes how Data Augmentation techniques can mitigate security threats by providing a defensive effect against adversarial patch attacks. Based on these results, we emphasize the need for proactive research into defensive measures to address the inherent security threats in AI technology used in fully unmanned stores.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.143-158
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• 2020

This study examines the effect of VMD (Visual merchandising) of unmanned stores and the affordance of unmanned systems on a customer's value and intention of revisit. The proposed research model and developed hypotheses were tested using structural equations modeling based on data collected from 297 customers with experience in unmanned stores. The results of the study confirm the positive effects of the unmanned system's affordance and unmanned stores' VMD on customer value. In addition, there is a positive relationship between a customer's value and intention of revisit. The study provides valuable insights into the sustainability of unmanned stores after post-COVID 19 and the importance of developing unmanned stores' VMD and affordance.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.153-162
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• 2022

In this study, the relationship between service quality and visit intention of unmanned cosmetics stores was investigated and whether there was a moderating effect of familiarity. To this end, a total of 190 questionnaires were collected and the main results of frequency analysis, exploratory factor analysis, reliability analysis, and correlation analysis using the statistical package SPSS 26.0 are summarized as follows. First, it was found that usefulness, ease, and playfulness, which are components of service quality in unmanned cosmetics stores, had a significant effect on the intention to visit. Second, familiarity was also found to have a significant effect on visit intention, and was found to have the greatest influence on visit intention. Third, as a result of examining the moderating effect of familiarity on the relationship between service quality and visit intention of unmanned cosmetics stores, usefulness, ease, and playfulness were all statistically insignificant, indicating that there was no moderating effect of familiarity. As a result of the above, in order to increase the familiarity, which has the greatest influence on the intention to visit, marketing should be presented emphasizing the promotion or advertisement of unmanned cosmetics stores.

• Vending industry
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• v.6 no.3 s.18
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• pp.77-79
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• 2006

각종 성관련 생활용품, 팬시용품, 커플용품 등을 판매하는 무인매장이 속속 선보일 전망이다. 모텔과 자판기(대표:이전교, www.motelvending.com)는 1000여종이 넘는 다양한 성인용품을 취급하는 국내 최초의 무인 성인샵 '러브닥터365' 가맹사업을 진행하고 있다. 기존 숙박업소로 한정된 시장에서 무인샵으로 까지 성인용품자판기 시장을 확대시키기 위한 새로운 사업시도가 어떤 반향을 불러일으킬지 흥미롭지 않을 수 없다.

• Korean Journal of Medicinal Crop Science
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• v.6 no.3
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• pp.216-220
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• 1998

The objectives of this study were to evaluate the effects of some seed pretreatments on seed germination, emergence, growth and yield of Bupleurum falcatum L. Seed treatments included stratification in open-field during winter, washing with running water, low temperature storage, soaking into $H_2SO_4$ solution, and scarification. Germination increased 15% by stratification and 9% by washing treatment compared to non-treatment, control. It was suggested that washing treatment leached inhibiting substance, while stratification treatment leached inhibiting substance and promoted growth of immatured embryo. In the field mulched with rice straw, stratification and washing treatments were effective to shorten days to emergence by 31 and 21 days and to increase emergence rate by 7 and 5 %, respectively, compared with control. By these two treatments, root growth was improved, the number of harvested plants was increased considerably and dry root yield per ha were increased by 29 and 22 %, respectively, compared with control.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.394-396
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• 2022

After COVID-19, hybrid stores operated as unmanned stores at specific times have spread, and theft crimes against these stores have also increased. In this paper, we propose an intelligent crime prevention system that fully utilizes existing shop devices to identify and respond to crimes occurring during the late night hours of unmanned shops in real time.