2019 Scientific Conference on Network, Power Systems and Computing
The Usability of Campus Card Transfer Machine Research Based on Service Design
Yuan He, Liang Chen, Xiaoming Zhang, Yue Han
[Purpose]Conduct usability testing on campus transfer machine self-service, sort out and analyze the service availability, and find directions and goals for self-service technology in campus context. [Method]Taking South China University of Technology as an example, through the service blueprint method, the existing service processes and contact points are searched for task entry points. The questionnaires are used to find the two most frequently used self-services, and 20 users were randomly invited to complete these two task tests in the established application context. The collaborative process and the vocal thinking method are used in the test process, and the test data is compiled by the retrospective test method, the research samples need to fill in the SUS questionnaire after completing the task, evaluate availability through three dimensions of satisfaction, effectiveness, and efficiency. Dimensions to assess their usability. Finally, the observation of 20 research samples is summarized in the usability problem, and the results are summarized and analyzed through comparative test. [Results] Low availability score for existing transfer machines. [Conclusion]The existing campus storage machine has poor service availability, and the problems of visual and cognitive links are prominent. It is proposed that in the design and development stage, user behavior research precedes functional classification; design iteration phase, timely on-demand information architecture matching design suggestions, it has a design guiding role for campus self-service design.
Campus transfer machine self-service, Usability, SUS Scale
Cite this paper:
Yuan He, Liang Chen, Xiaoming Zhang, Yue Han, The Usability of Campus Card Transfer Machine Research Based on Service Design. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 82-86. DOI: https://doi.org/10.33969/EECS.V3.019.