How fast is too fast? evaluating fast forward surrogates for digital video

Wildemuth, Barbara M.; Marchionini, Gary; Yang, Mu-Hoe; Geisler, Gary; Wilkens, Todd; Hughés, A.E.; Gruss, Richard

doi:10.1109/jcdl.2003.1204866

Cited by 67 publications

(76 citation statements)

References 20 publications

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“…In addition to the objective criteria, a few subjective metrics can be found in the studies with respect to examining DL use, such as acceptance Park, 2000;Wildemuth et al, 2003), etc. Among these criteria, Sumner and Melissa's reuse intent is worth noting.…”

Section: User Level Evaluation Criteria/measuresmentioning

confidence: 99%

“…To a certain degree, continuous reuse intent may represent user loyalty as an outcome of using high quality library service, which was identified by Cullen (2001) from the review on the existing research on library ServQual-an ARL (Association for Research Libraries) project for libraries in the digital age. Mead & Gay, 1995] • Accuracy of task completion • Efficiency in terms of session time and redundancy of search procedure Meyyappan et al, 2004;Shim, 2000] • Intent to use & reuse a collection or system feature [Sumner & Melissa, 2001] • Learning effects [Borgman & Gilliland-Swetland, 2000;Greenberg, et al, 2002;Thebridge et al, 2002]) • Performance (of students) [Budhu & Coleman, 2002;Champeny et al, 2004;Borgman & GillilandSwetland, 2000] • Preference Park, 2000;Wildemuth et al, 2003;Jones, 2000;Meyyappan et al, 2000] • Productivity of users • Satisfaction Cullen, 2001;Wilson & Landoni, 2001] • Use/usage Borghuis et al, 1996;Baldwin, C., 1998;Bekele, 2002;Bishop, 1998;Brophy et al, 2000;Entlich et al, 1996;Jones et al, 2000;Khalil & Jayatilleke, 2000;Marchionini, 2000;Monopoli et al, 2002;Shim, 2000] Further, Cullen found that there might be a causal relationship between user satisfaction and loyalty. According to Saracevic (2000), satisfaction might contain material (e.g., desired information being found), cognitive (e.g., increased knowledge) and/or emotional (e.g., pleasant search experience) outcomes.…”

Section: User Level Evaluation Criteria/measuresmentioning

confidence: 99%

“…Firstly, there tends to be no empirical research that has validated the idea. Secondly, JCF tends to be more appropriate to serve as an association indicator among documents rather than a significance measure of these documents considering the "navigational lost" among hypertexts frequently reported by other researchers.In addition to the objective criteria, a few subjective metrics can be found in the studies with respect to examining DL use, such as acceptance Mead & Gay, 1995), intent to use/reuse (Sumner & Melissa, 2001), preference (Bollen & 25 Luce, 2002;Park, 2000;Wildemuth et al, 2003), etc. Among these criteria, Sumner and Melissa's reuse intent is worth noting.…”

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confidence: 99%

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Developing a holistic model for digital library evaluation

Zhang

2009

J. Am. Soc. Inf. Sci.

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The objective of the research is to develop a holistic model for digital library (DL) evaluation. To develop such a model, a three-stage research approach was applied: exploration, confirmation, and verification. During the exploration stage, a literature review was conducted, and then an interview along with card sorting technique was employed to collect perceptions from DL experts with emphasis on determining what criteria should be used in DL evaluation. Then, the criteria identified from the exploration were used for developing an online survey during the confirmation stage. Heterogeneous DL stakeholders were asked to rate the importance of each criterion to DL evaluation.The holistic model was constructed by utilizing descriptive and inference statistical techniques. Its holistic nature was ensured through: (1) incorporation of various DL stakeholders' perspectives in light of Marchionini's multifaceted evaluation approach, and (2) inclusion of all digital library levels suggested by Saracevic's stratified information retrieval model. Eventually, in the verification stage, selected criteria from the model were tested in real DL use setting. Some significant findings include: (1) consistently perceived important criteria for DL evaluation. DL stakeholders care more about premise (e.g., accessibility and iii iii sustainability of a DL), process (e.g., ease of use, technology reliability, and service responsiveness), and direct performance (e.g., usefulness of information, successfulness and efficiency of task completion), whereas less concerned about indirect factors (e.g., personalization, behavior change, service courtesy, and extended social effects); (2) inter-group divergence in importance perception for some evaluation criteria. The divergence primarily exists between the user and other DL stakeholder groups; (3) some promising criteria (e.g., comprehensiveness of collection, integrity of information, integration of service to information seeking path, collaboration/sharing) augment the existing DL evaluations whereby important criteria have essentially been covered; and (4) most importantly, the core dissertation objective is fulfilled, that is the construction of the holistic evaluation model, in which heterogeneous stakeholders' perspectives at all DL levels are presented. Moreover, some prestigious journals also have devoted special issues to this subject (e.g., 2 Science 1993Science , 2000 Information Processing and Management, 1999; Library Trends, 2000; Communication of ACM, 1995. IEEE Computer, 1995. Journal of American Society for InformationHowever, behind this fast-growing scene are some weaknesses that might hinder the progress of DL innovation. One of the remarkable weaknesses is reflected in the two competing visions of what is a DL, which are pinpointed by Borgman in 1999. One vision, with the research domain (e.g., Fox et al., 1993;Lesk, 1997) Unsurprisingly, the divergent visions of the definition of the DL cannot but yield to different foci in DL development. The view ...

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Section: User Level Evaluation Criteria/measuresmentioning

confidence: 99%

Section: User Level Evaluation Criteria/measuresmentioning

confidence: 99%

mentioning

confidence: 99%

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Developing a holistic model for digital library evaluation

Zhang

2009

J. Am. Soc. Inf. Sci.

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“…People make critical decisions based on hypermedia surrogates, such as choosing which documents to browse, and which to ignore. Building on extensive prior research (Baddeley, 1992;Carney & Levin, 2002; Measuring Emergence in Information Discovery 10 Ding, 1999;Glenberg & Langston, 1992;Glenberg, 2002;Mayer & Moreno, 2002;Wildemuth et al, 2003, Woodruff et al, 2002, instead of using only text to represent a surrogate, we connect image with text. For assembling collections of surrogates, composition serves as an integrative alternative to lists and spatial hypertext (Marshall & Shipman, 1994).…”

Section: Representing Collections With Compositionmentioning

confidence: 99%

An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery

Kerne

Smith

Koh

et al. 2008

International Journal of Human-Computer Interaction

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While sometimes the task that motivates searching, browsing, and collecting information resources is finding a particular fact, humans often use information resources in intellectual and creative tasks that can include comparison, understanding, and discovery. Information discovery tasks involve not only finding relevant information, but also seeing relationships among collected information resources, and developing new ideas. Our hypothesis is that how information is represented impacts the magnitude of human creativity in information discovery tasks. How can we measure this creative cognition? Studies of search have focused on time and accuracy, metrics of limited value for measuring creative discovery.We develop a new experimental method, which measures the emergence of new ideas in information discovery, to evaluate the efficacy of representations. We compare the efficacy of the typical textual list representation for information collections with an alternative representation, combinFormation's composition of image and text surrogates. Representing collections with such compositions increases emergence in information discovery.Measuring Emergence in Information Discovery 3

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“…For example, various layouts for video keyframes for gist understanding and for searching have been studied in [11,12,13,14,15]. Selecting the right keyframes for presenting the result of a user's video query has also been studied [16] and interactive playback tools that allow efficient content-browsing [17,18], interactive montages of map and timelines to visualise news video contents [19] have been evaluated.…”

Section: Retrievalmentioning

confidence: 99%

Collaborative video searching on a tabletop

et al. 2006

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Almost all system and application design for multimedia systems is based around a single user working in isolation to perform some task yet much of the work for which we use computers to help us, is based on working collaboratively with colleagues. Groupware systems do support user collaboration but typically this is supported through software and users still physically work in independently. Tabletop systems such as the DiamondTouch from MERL, are interface devices which support direct user collaboration on a tabletop. When a tabletop is used as the interface for a multimedia system, such as a video search system, then this kind of direct collaboration raises many questions for system design. In this paper we present a tabletop system for supporting a pair of users in a video search task and we evaluate the system not only in terms of search performance but also in terms of user-user interaction and how different user personalities within each a pair of searchers impacts search performance and user interaction. Incorporating the user into the system evaluation as we have done here reveals several interesting results and has important ramifications for the design of a multimedia search system.

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How fast is too fast? evaluating fast forward surrogates for digital video

Abstract: Abstract

Cited by 67 publications

References 20 publications

Developing a holistic model for digital library evaluation

Developing a holistic model for digital library evaluation

An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery

Collaborative video searching on a tabletop

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