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Search System Functions for Supporting Search Modes
"... Tasks in web search are often rather simple, e.g. navigating to an already known web page or looking up a fact. However, tasks in other domains are usually more complex and diverse. Thus, we discuss various search modes of tasks and how they might be supported by functions of a search system. We giv ..."
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Tasks in web search are often rather simple, e.g. navigating to an already known web page or looking up a fact. However, tasks in other domains are usually more complex and diverse. Thus, we discuss various search modes of tasks and how they might be supported by functions of a search system. We give examples of the required search functions of different search modes and describe the implications for the design of search systems.
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"... environment that provides all the necessary functionality (such as Nowadays users of digital libraries are confronted with information that is rapidly growing in quantity, heterogeneity and dimensionality. We propose MedioVis as a flexible application for the visual exploration of such data that is ..."
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environment that provides all the necessary functionality (such as Nowadays users of digital libraries are confronted with information that is rapidly growing in quantity, heterogeneity and dimensionality. We propose MedioVis as a flexible application for the visual exploration of such data that is especially designed for users without prior professional experience in search, retrieval or visualization [1], [4]. collecting and processing search results) in one consistent user interface (UI). Therefore we are designing a new version of MedioVis based on the ZOIL paradigm (Zoomable Object-Oriented Information Landscape) [2]. In this design, the context information will be regarded besides the principles of ZOIL (ZOIL Principles: object-orientation, semantic zooming, nested information visualization, an information landscape representing the information space and the ability to use the system on different platforms). Adaption of the system to the individual differences and activities Users of visual information seeking systems and their context might differ in many aspects: • Skills or cognitive styles • Experience-level • Social and cultural backgrounds • Preferences or personal interests • Higher-level activities • Information available The idea is to develop ways to use this context information to enhance the interaction between users and the system.
Interactive Visualization for Opportunistic Exploration of Large Document Collections
"... Finding relevant information in a large and comprehensive collection of cross-referenced documents like Wikipedia usually requires a quite accurate idea where to look for the pieces of data being sought. A user might not yet have enough domain-specific knowledge to form a precise search query to get ..."
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Finding relevant information in a large and comprehensive collection of cross-referenced documents like Wikipedia usually requires a quite accurate idea where to look for the pieces of data being sought. A user might not yet have enough domain-specific knowledge to form a precise search query to get the desired result on the first try. Another problem arises from the usually highly cross-referenced structure of such document collections. When researching a subject, users usually follow some references to get additional information not covered by a single document. With each document, more opportunities to navigate are added and the structure and relations of the visited documents gets harder to understand. This paper describes the interactive visualization Wivi which enables users to intuitively navigate Wikipedia by visualizing the structure of visited articles and emphasizing relevant other topics. Com-bining this visualization with a view of the current article results in a custom browser specially adapted for exploring large information networks. By visualizing the potential paths that could be taken, users are invited to read up on subjects relevant to the current point of focus and thus opportunistically finding relevant information. Results from a user study indicate that this visual navigation can be easily used and understood. A majority of the participants of the study stated that this method of exploration supports them finding information in Wikipedia.
User-Centred Software Engineering · Interactive Visualisations
"... Abstract 1 Professional video searchers typically have to search for partic-ular video fragments in a vast video archive that contains many hours of video data. Without having the right video archive exploration tools, this is a difficult and time consuming task that induces hours of video skimming. ..."
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Abstract 1 Professional video searchers typically have to search for partic-ular video fragments in a vast video archive that contains many hours of video data. Without having the right video archive exploration tools, this is a difficult and time consuming task that induces hours of video skimming. We propose the video archive explorer, a video exploration tool that pro-vides visual representations of automatically detected concepts to facilitate individual and collaborative video search tasks. This video archive explorer is developed by employing a user-centred methodology, which ensures that the tool is more likely to fit to the end user needs. A qualitative evaluation with professional video searchers shows that the combination of automatic video indexing, interactive visualisations and user-centred design can result in an increased usability, user satisfaction and productivity.
