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Real-Time Covid-19 Risk Level Indicator for the Library Users

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Human Interaction, Emerging Technologies and Future Applications IV (IHIET-AI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1378))

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Abstract

Covid-19 has highly affected the university library visit routine of students and faculty members. To investigate this further, university students were interviewed, and it was found out that they were quite concerned about their safety and health when visiting the library in Covid-19. To cater this, a smart interactive system is designed, which helps the students and faculty members avoid high-risk situations inside the library and can optimally manage their library visits. The system has two main components i.e. a public display and a mobile interface. Both the public display and the mobile interface were evaluated by university students in order to understand whether this system met the user needs and expectations as expressed during the informing phase. The results and their implications for the designs of similar systems are discussed.

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Acknowledgments

We would like to convey our gratitude to Prof. Georgios Marentakis and Østfold University College, Norway to guide us from the beginning till the end, and to fund this research project.

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Correspondence to Sadiq Arsalan .

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Arsalan, S., Ahmed, K.M. (2021). Real-Time Covid-19 Risk Level Indicator for the Library Users. In: Ahram, T., Taiar, R., Groff, F. (eds) Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing, vol 1378. Springer, Cham. https://doi.org/10.1007/978-3-030-74009-2_28

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