Influences of users' familiarity with visual search topics on interactive video digital libraries

Abstract

User-centered analysis can benefit the development of interactive video digital libraries. Findings from this study support the idea that having additional understanding about the intended users of video digital libraries can help researchers match system designs with the envisioned use of prototype systems. This study examines one user-centered factor specifically, familiarity with visual search topics, to explore if and how this may be associated with other factors within an interactive video retrieval context. Twenty-eight users from the field of science education were recruited to complete six visual search topics using a prototype system to retrieve video clips from a collection of NASA Science Education Programs. Analysis revealed that topic familiarity was associated with other factors that were examined throughout this study, including user-assessed and experimenterassessed topic completion ratios, opinions of the prototype system, and interaction behaviors. Such results can have a variety of implications for developing video digital libraries, especially those designed to support queries and interactions of knowledgeable users from a defined domain.

Visual information seeking

“…Existing knowledge or clearer ideas about the information need would lead to using more complex or multidimensional features like visual searches (McDonald & Tait, ). Albertson () produced a positive correlation between users' familiarity with visual information needs and visual search actions.…”

“…Westman et al. () reported how users navigated a categorical tree for conceptual tasks; other prior studies have demonstrated that users may even resort to browsing manageable collections serially or sequentially for conceptual or less clear needs or for images of known objects (Albertson, ; McDonald & Tait, ). These findings suggest that exploratory browse actions of users are needed to further explore a collection's contents and/or boundaries to ensure they assessed as many images as possible.…”

Effect of metacognitive strategies and verbal-imagery cognitive style on biology-based video search and learning performance

“…Some of the steps require repetitive execution and sometimes require continuous trial-and-error until confirmation of the search results (Brand-Gruwel, Wopereis & Vermetten, 2005). Individuals may adopt different methods and sequences in seeking information on the same subjects because of the differentiation of individual characteristics and the degree of development of one's cognitive abilities (Albertson, 2010b;Bilal and Kirby, 2002;Bronstein, 2014;Ford, Miller, & Moss, 2005;Ford, Eaglestone, Madden, & Whittle, 2009;Hsieh-Yee, 2001;Kao, Lei & Sun, 2008;Kim, 2008;Kim & Allen, 2002;Laxman, 2010;Lei, Kao, Lin & Sun, 2009;Park & Black, 2007;Rouet, 2003;Sun, Ye, Hsieh, 2014;Zhou, 2014). For example, reading multiple pages of search results in detail versus skimming one page of results before trying a new keyword, following multiple links versus stopping after the first webpage, and utilizing one versus multiple search engines.…”

“…Regarding differences in search behaviors and performance, researchers have looked at individual factors, such as personal experiences (e.g., background, gender, Internet experience, and familiarity), personal cognition (e.g., domain knowledge, reading skill, spatial ability, problem-solving ability, metacognition, and understanding of the search task), personal approaches (e.g., study approaches, perceptions of and preferred approaches to web-based information seeking, thinking style, and cognitive style), environmental factors (e.g., search engines and metadata), and task types (e.g., locating web sites versus locating information, closed-ended versus open-ended) (Albertson, 2010b;Allen, 1998Allen, , 2000Bilal & Kirby, 2002;Brand-Gruwel, Wopereis & Vermetten, 2005;Chiu, 2006;Choi, 2010;Ford, Miller, & Moss, 2005;Hsieh-Yee, 2001;Kao, Lei & Sun, 2008;Kim, 2008;Kim & Allen, 2002;Lei, Kao, Lin & Sun, 2009;Lei, Lin and Sun, 2013;Park & Black, 2007;Rouet, 2003;Sun, Ye, Hsieh, 2014;Zhou, 2014). These studies demonstrate that despite constant advancement in the platform and index of search engines, the individual differences between users still play a crucial role in determining the success of a search.…”

Design criteria for video digital libraries

“…In addition the use, impact and perceptions of specific interface features and designs of video surrogates, which enable assessment of video content by users, including slideshows, storyboards and fast forwards (Wildemuth et al, 2003) have been directly examined across studies employing different situations and/or contextual factors steered by basic usability metrics (Albertson, 2010b;Albertson and Meadows III, 2011).…”