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Toward an understanding of cross‐media appeals for readers' advisory
Author(s) -
Lee Jin Ha,
Windleharth Travis,
Cho Hyerim
Publication year - 2017
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2017.14505401027
Subject(s) - appeal , theme (computing) , variety (cybernetics) , domain (mathematical analysis) , computer science , world wide web , appeal to emotion , advertising , psychology , multimedia , political science , business , mathematical analysis , mathematics , artificial intelligence , law
Readers' advisory services in libraries have traditionally focused heavily on the recommendation of books and audiobooks, excluding wide swaths of other media in the library's collection. To provide readers' advisory across a variety of media formats, we identify and investigate common appeal factors across multiple types of media, including books, films, video games, graphic novels, and music. The project was conducted in two phases: a domain analysis and a user study. During the first phase, we reviewed existing literature and consulted with domain experts to identify 19 appeals across different media types. In the second phase, we interviewed 30 participants who actively consume two or more types of media to understand what kinds of appeals are important and relevant to them when selecting media to consume. We discuss the five most prominent appeals—mood, setting, complexity, character, and theme—in detail, followed by implications on using these cross‐media appeals in readers' advisory.