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A Cross-platform Errand Service Application for Campus with a Dual-user Identity Model
13th IEEE International Conference on Software Engineering and Service Science, ICSESS 2022 ; 2022-October:155-160, 2022.
Article in English | Scopus | ID: covidwho-2136324
ABSTRACT
With the development of the food delivery industry and the impact of the global Covid-19 pandemic in recent years, the demand for errand service platform has been progressively growing. However, due to crowd control policies during epidemics in China, off-campus personnel are unable to enter the campus, resulting in the current public errand service application invalid in campus. In this circumstance, students who need the errand service can only post the errand requests in chatting groups or use the mini-programs embedded in WeChat. Both approaches, however, have significant flaws. Therefore, a specific errand service application for campus is desired. In this paper, an errand services application named AoAoRun is developed for university students and faculties on campus using a dual-user identity model, making it possible for both students and faculties to become the service provider and the service recipients. It integrates and organizes the needs of errand services, providing a safe and user-friendly platform. In addition, unlike current errand service platforms, this application uses blockchain technology for data backup and credit scores system. This credit system gives higher priority to orders posted by users with higher credit scores. Finally, 53 volunteers participate in the user testing of the application. The test results show that AoAoRun greatly improves the utilization of resources and increases the efficiency of students' study and life. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Randomized controlled trials Language: English Journal: 13th IEEE International Conference on Software Engineering and Service Science, ICSESS 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Randomized controlled trials Language: English Journal: 13th IEEE International Conference on Software Engineering and Service Science, ICSESS 2022 Year: 2022 Document Type: Article