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Evaluating novice and expert users on handheld video retrieval systems

Scott, David, Hopfgartner, Frank orcid logoORCID: 0000-0003-0380-6088, Guo, Jinlin and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2013) Evaluating novice and expert users on handheld video retrieval systems. In: 19th International Conference, MMM 2013, 7-9 Jan 2013, Huangshan, China. ISBN 978-3-642-35728-2

Content-based video retrieval systems have been widely associated with desktop environments that are largely complex in nature, targeting expert users and often require complex queries. Due to this complexity, interaction with these systems can be a challenge for regular ”novice” users. In recent years, a shift can be observed from this traditional desktop environment to that of handheld devices, which requires a different approach to interacting with the user. In this paper, we evaluate the performance of a handheld content-based video retrieval system on both expert and novice users. We show that with this type of device, a simple and intuitive interface, which incorporates the principles of content-based systems, though hidden from the user, attains the same accuracy for both novice and desktop users when faced with complex information retrieval tasks. We describe an experiment which utilises the Apple iPad as our handheld medium in which both a group of experts and novice users run the interactive experiments from the 2010 TRECVid Known-Item Search task. The results indicate that a carefully defined interface can equalise the performance of both novice and expert users.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Mobile Device; Keyframe; iPad
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science 7733. Springer. ISBN 978-3-642-35728-2
Official URL:https://doi.org/10.1007/978-3-642-35728-2_7
Copyright Information:© 2013 Springer
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Information Access Disruptions, a centre for researchbased innovation with CRI number: 174867, funded in part by the Norwegian Research Council.
ID Code:22317
Deposited On:11 Apr 2018 14:53 by Thomas Murtagh . Last Modified 11 Oct 2018 11:10

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