Search results

Readers articulate mood in deeply subjective ways, yet the underlying structure of users' understanding of the media they consume has important implications for retrieval and access. User articulations might at first seem too idiosyncratic, but organizing them meaningfully has considerable potential to provide a better searching experience for all involved. The current study develops mood categories inductively for fiction organization and retrieval in information systems.

The authors developed and distributed an open-ended survey to 76 fiction readers to understand their preferences with regard to the affective elements in fiction. From the fiction reader responses, the research team identified 161 mood terms and used them for further categorization.

The inductive approach resulted in 30 categories, including angry, cozy, dark and nostalgic. Results include three overlapping mood families: Emotion, Tone/Narrative, and Atmosphere/Setting, which in turn relate to structures that connect reader-generated data with conceptual frameworks in previous studies.

The inherent complexity of “mood” should not dissuade researchers from carefully investigating users' preferences in this regard. Adding to the existing efforts of classifying moods conducted by experts, the current study presents mood terms provided by actual end-users when describing different moods in fiction. This study offers a useful roadmap for creating taxonomies for retrieval and description, as well as structures derived from user-provided terms that ultimately have the potential to improve user experience.

Author information is one of the primary metadata elements for information access. While assigning “author(s)” has been relatively straightforward in library systems for textual resources, challenges have emerged in recording creatorship information for collaborative creative works, with surrogates erring on the side of caution and providing little information. This study aims to present improvements to the conceptual understanding of collaborative creatorship and relevant cataloging practice in video games.

The current study is a theoretical investigation of the authorship role of individuals in collaborative creative works, using video games as a case study. The investigation is based on the literature on video game user needs and authorship theory.

Reviews of literature present a disconnect between video game information user needs and currently available author information in library systems. Further analysis of the author/creator concept reveals insufficiencies in adopting auteur theory as the theory is applied to film. Exploration of access practices for other large collaborative creative products and an analysis of user tasks show potentially fruitful directions for future studies. This study recommends identifying primary roles that individuals adopt in video game creations and leveraging crowdsourced-creator information in library databases to enhance the visibility of author information for video games.

By incorporating authorship theories and research from various domains such as film studies, intellectual history and library and information science, this study provides interdisciplinary, theoretical considerations as well as practical suggestions to enhance the current cataloging practice.

With ready access to search engines and social media platforms, the way people find image information has evolved and diversified in the past two decades. The purpose of this paper is to provide an overview of the literature on image information needs and behaviors.

Following an eight-step procedure for conducting systematic literature reviews, the paper presents an analysis of peer-reviewed work on image information needs and behaviors, with publications ranging from the years 1997 to 2019.

Application of the inclusion criteria led to 69 peer-reviewed works. These works were synthesized according to the following categories: research methods, users targeted, image types, identified needs, search behaviors and search obstacles. The reviewed studies show that people seek and use images for multiple reasons, including entertainment, illustration, aesthetic appreciation, knowledge construction, engagement, inspiration and social interactions. The reviewed studies also report that common strategies for image searches include keyword searches with short queries, browsing, specialization and reformulation. Observed trends suggest common deployment of query analysis, survey questionnaires and undergraduate participant pools to research image information needs and behavior.

At this point, after more than two decades of image information needs research, a holistic systematic review of the literature was long overdue. The way users find image information has evolved and diversified due to technological developments in image retrieval. By synthesizing this burgeoning field into specific foci, this systematic literature review provides a foundation for future empirical investigation. With this foundation set, the paper then pinpoints key research gaps to investigate, particularly the influence of user expertise, a need for more diverse population samples, a dearth of qualitative data, new search features and information and visual literacies instruction.

The purpose of this paper is to improve the understanding of relevant information features for users seeking anime recommendations.

The study uses content analysis of 396 recommendation request threads from the online forum at Anime News Network.

In total, 19 important anime information features were identified, including Work, Theme, Genre, Audience, Mood, while Artwork/Visual Style, Audio Style, and Language were mentioned less frequently. However, when mentioned, these codes were discussed with specificity and depth.

This study analyzed a relatively small number of 396 forum records, without demographic information. Using content analysis of online forum threads written by real users provided both informational breadth and depth. Future studies would benefit from using content analysis to investigate unfamiliar multimedia information and user groups.

The findings of this study can be implemented in anime-related databases and information systems to enhance organization, browsing/retrieval, and recommendation of anime, which can be further utilized for other audiovisual materials.

This is one of the few studies that investigate what anime users need and want. This research examines an understudied cultural medium, underserved by current research, despite an expanding community of anime users.

This chapter provides a historical overview of policies on higher education in South Korea since 1945 and illustrates growth of science production based on expansion of higher education.

We divide higher education policies into three historical time periods: (1) 1945–1950s, a period of developing modern higher education system; (2) 1960s–early 1990s, a period of rapid expansion of higher education, while government establishing a few research-focused science and technology institutions aimed at better quality research production; and (3) since mid-1990s, a period of fostering the workforce and raising science productivity in universities using targeted investments in research. We use the SPHERE project’s comprehensive historical dataset based on Thomson Reuters’ Web of Science and data from Higher Education in Korea to analyze growth in scientific publication in national and organizational level.

The analysis suggests that the combined private and public investments in the expansion of higher education, and sequential policy intervention facilitated the massive and ongoing growth of science production in Korea.

The chapter provides a thorough description about the growth of higher education and science production in South Korea and draws lessons for developing capacity for producing science.