-
Lee, J.H.; Wishkoski, R.; Aase, L.; Meas, P.; Hubbles, C.: Understanding users of cloud music services : selection factors, management and access behavior, and perceptions (2017)
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- Abstract
- Recent, rapid changes in technology have resulted in a proliferation of choices for music storage and access. Portable, web-enabled music devices are widespread, and listeners now enjoy a plethora of options regarding formats, devices, and access methods. Yet in this mobile music environment, listeners' access and management strategies for music collections are poorly understood, because behaviors surrounding the organization and retrieval of music collections have received little formal study. Our current research seeks to enrich our knowledge of people's music listening and collecting behavior through a series of systematic user studies. In this paper we present our findings from interviews involving 20 adult and 20 teen users of commercial cloud music services. Our results contribute to theoretical understandings of users' music information behavior in a time of upheaval in music usage patterns, and more generally, the purposes and meanings users ascribe to personal media collections in cloud-based systems. The findings suggest improvements to the future design of cloud-based music services, as well as to any information systems and services designed for personal media collections, benefiting both commercial entities and listeners.
- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1186-1200
-
Lee, J.H.: Combining the evidence of different relevance feedback methods for information retrieval (1998)
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- Source
- Information processing and management. 34(1998) no.6, S.681-691
-
Lee, J.H.; Price, R.: User experience with commercial music services : an empirical exploration (2016)
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- Date
- 17. 3.2016 19:22:15
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.4, S.800-811
-
Cho, H.; Donovan, A.; Lee, J.H.: Art in an algorithm : a taxonomy for describing video game visual styles (2018)
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- Abstract
- The discovery and retrieval of video games in library and information systems is, by and large, dependent on a limited set of descriptive metadata. Noticeably missing from this metadata are classifications of visual style-despite the overwhelmingly visual nature of most video games and the interest in visual style among video game users. One explanation for this paucity is the difficulty in eliciting consistent judgements about visual style, likely due to subjective interpretations of terminology and a lack of demonstrable testing for coinciding judgements. This study presents a taxonomy of video game visual styles constructed from the findings of a 22-participant cataloging user study of visual styles. A detailed description of the study, and its value and shortcomings, are presented along with reflections about the challenges of cultivating consensus about visual style in video games. The high degree of overall agreement in the user study demonstrates the potential value of a descriptor like visual style and the use of a cataloging study in developing visual style taxonomies. The resulting visual style taxonomy, the methods and analysis described herein may help improve the organization and retrieval of video games and possibly other visual materials like graphic designs, illustrations, and animations.
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.5, S.633-646
-
Park, M.S.; Park, J.H.; Kim, H.; Lee, J.H.; Park, H.: Measuring the impacts of quantity and trustworthiness of information on COVID-19 vaccination intent (2023)
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- Date
- 22. 6.2023 18:20:47
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.7, S.846-865
-
Lee, J.H.; Kim, M.H.: Ranking documents in thesaurus-based Boolean retrieval systems (1994)
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- Source
- Information processing and management. 30(1994) no.1, S.79-91
-
Kwon, O.W.; Lee, J.H.: Text categorization based on k-nearest neighbor approach for web site classification (2003)
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- Source
- Information processing and management. 39(2003) no.1, S.25-44
-
Lee, J.H.; Cho, H.; Kim, Y.-S.: Users' music information needs and behaviors : design implications for music information retrieval systems (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1301-1330
-
Hu, X.; Lee, J.H.; Bainbridge, D.; Choi, K.; Organisciak, P.; Downie, J.S.: ¬The MIREX grand challenge : a framework of holistic user-experience evaluation in music information retrieval (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.1, S.97-112
-
Lee, J.H.: Analysis of user needs and information features in natural language queries seeking music information (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.1025-1045
-
Lee, J.H.; Clarke, R.I.; Perti, A.: Empirical evaluation of metadata for video games and interactive media (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2609-2625
-
Jett, J.; Sacchi, S.; Lee, J.H.; Clarke, R.I.: ¬A conceptual model for video games and interactive media (2016)
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- Journal of the Association for Information Science and Technology. 67(2016) no.3, S.505-517
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Branch, F.; Arias, T.; Kennah, J.; Phillips, R.; Windleharth, T.; Lee, J.H.: Representing transmedia fictional worlds through ontology (2017)
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- Journal of the Association for Information Science and Technology. 68(2017) no.12, S.2771-2782
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Yip, J.C.; Lee, K.J.; Lee, J.H.: Design partnerships for participatory librarianship : a conceptual model for understanding librarians co designing with digital youth (2020)
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- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1242-1256
