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Understanding iPusnas User Experience Among Students, Workers, and Housewives

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Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration (ICADL 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14458))

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Abstract

iPusnas, a mobile library application owned by the National Library of Indonesia, allows users to borrow digital books accessible through mobile devices freely. However, the application has received unfavorable reviews on the digital marketplace. This research examines iPusnas’ user experience by assessing factors such as effectiveness, efficiency, satisfaction, and subjective user experience. The study targets end-users composed of students, workers, and housewives. A mixed-method strategy is used in this study, incorporating usability testing, the System Usability Scale (SUS), and the User Experience Questionnaire (UEQ) as data-gathering techniques. Findings suggest a minor yet significant variation in effectiveness. There are no considerable differences across groups regarding efficiency and satisfaction. However, students demonstrated low satisfaction levels, while workers and housewives rated their satisfaction as adequate. The UEQ data shows that the app scores below average in the Attractiveness and Efficiency categories, while its Perspicuity score is poor. The study concludes by discussing these findings’ implications, suggestions, and potential limitations.

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Acknowledgments

The authors are grateful to the anonymous reviewers for their constructive feedback, which significantly improved the manuscript. This work was generously supported by a grant from the Universitas Indonesia, grant number NKB-1202/UN2.RST/HKP.05.00/2022. Any opinions, findings, and conclusions described here are the authors and do not necessarily reflect those of the sponsors.

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Authors and Affiliations

  1. Undergraduate Program in Library Science, Faculty of Humanities, Universitas Indonesia, Depok, 16424, Indonesia

    Aditia

  2. Department of Library and Information Science, Faculty of Humanities, Universitas Indonesia, Depok, 16424, Indonesia

    Rahmi

  3. Faculty of Psychology, Universitas Indonesia, Depok, Indonesia

    Harry Susianto

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  1. Aditia
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  2. Rahmi
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Correspondence to Rahmi .

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Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Dion H. Goh

  2. Academia Sinica, Taipei, Taiwan

    Shu-Jiun Chen

  3. Mahidol University, Tambon Salaya, Amphoe Phutthamonthon, Thailand

    Suppawong Tuarob

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Aditia, Rahmi, Susianto, H. (2023). Understanding iPusnas User Experience Among Students, Workers, and Housewives. In: Goh, D.H., Chen, SJ., Tuarob, S. (eds) Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. ICADL 2023. Lecture Notes in Computer Science, vol 14458. Springer, Singapore. https://doi.org/10.1007/978-981-99-8088-8_2

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  • DOI: https://doi.org/10.1007/978-981-99-8088-8_2

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