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      Smart Order and Kiosk User Experience and Perception Study Using Big Data -Proposals to Improve Kiosk and Smart Order Experience-

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      https://www.riss.kr/link?id=A109582928

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      The smart order and kiosk industry has rapidly advanced since the COVID-19 pandemic. This study aims to analyze user experiences and perceptions of smart orders and kiosks by leveraging big data and surveys.
      Through this analysis, the study identifies positive and negative aspects, user inconveniences, and improvement strategies, ultimately contributing to future research and kiosk development. Data collection was conducted using TEXTOM, covering a three-year period from January 2021 to January 2024, when contactless services became increasingly prevalent due to the pandemic. We set the keywords "smart order" and "kiosk" for data gathering. Analysis was performed using ConCor, revealing eight distinct clusters, and we identified "Digital Self-Service Innovation" as the core keyword. This research is significant in presenting challenges and improvement strategies for kiosk development and smart order services.
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      The smart order and kiosk industry has rapidly advanced since the COVID-19 pandemic. This study aims to analyze user experiences and perceptions of smart orders and kiosks by leveraging big data and surveys. Through this analysis, the study identifies...

      The smart order and kiosk industry has rapidly advanced since the COVID-19 pandemic. This study aims to analyze user experiences and perceptions of smart orders and kiosks by leveraging big data and surveys.
      Through this analysis, the study identifies positive and negative aspects, user inconveniences, and improvement strategies, ultimately contributing to future research and kiosk development. Data collection was conducted using TEXTOM, covering a three-year period from January 2021 to January 2024, when contactless services became increasingly prevalent due to the pandemic. We set the keywords "smart order" and "kiosk" for data gathering. Analysis was performed using ConCor, revealing eight distinct clusters, and we identified "Digital Self-Service Innovation" as the core keyword. This research is significant in presenting challenges and improvement strategies for kiosk development and smart order services.

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