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            "title": "Multimodal interaction for visual example searching in web-based personal digital photo repository",
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                    "firstName": "N. A.",
                    "lastName": "Ismail"
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            "abstractNote": "In this paper, we describe an interactive web-based photo retrieval system that enables personal digital photo users to accomplish visual example searching by using multimodal interaction. This system not only enables users to use mouse and keyboard input modalities but also speech input modality to carry out photo searching in their personal digital photos collection. The prototype system and it architecture utilized MATLAB, image database in combination with web programming scripts including JavaScript, XHTML, ASP and XML based markup language. All prototype programs and data files including the user's photo repository, profiles, dialogues, grammars, prompt, and retrieval engine are stored and located in the web server. Our user study with 20 digital photo users showed that the participants reacted positively to their experience with the system interaction. A comparison between different input modalities in users' search performance was undertaken. On average, the reduction in user's search performance time due to using mouse and speech input modalities to complete visual example searching tasks was 46.77%.",
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            "title": "The Dewey Decimal Classification and the transition from physical to electronic knowledge organisation",
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            "abstractNote": "The physical organisation of items on library shelves using any classification scheme is inevitably a compromise. The best efforts to achieve an arrangement char is helpful to users will be thwarted by the multifaceted nature of these items and the specific needs of the user and the library. Items on a particular subject will be scattered throughout the library building(s) across disciplines, by physical form, by frequency of use and whether and for how long they may be borrowed. Even though the rich information content of multifaceted items may be represented in the notation, the items required by a user will be scattered across library shelves when the item is placed in a single relative location. This paper explores these issues using examples from a University Library classified using the Dea ey Decimal Classification Scheme (DDC). The electronic context of the library OPAC can transcend the constraints imposed by the predominantly physical nature of library collections, yet the current use of classification schemes in on-line systems retains many of these limitations. Examples of such systems applying DDC on the World Wide Web are discussed and compared with a system that seeks to use DDC in what is called view-based searching. The interface and the resulting browsing and searching capability of a View-Based Online Public Access Catalogue (OPAC) are described. Ways in which subject. access to library collections can be improved and disciplinary scatter resolved by assigning multiple class numbers to items and exploiting the rich Dewey structure in a faceted form are discussed. It is suggested that the informative power of visual classificatory structures at the search interface will be beneficial to the broader learning experience of the user. The paper concludes that the application of classification schemes in electronic interfaces should not be bound by the physical constraints that no longer apply in an electronic context but be exploited to provide a complete, flexible and individual interface as determined by the needs of each user.",
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            "abstractNote": "Direct-to-consumer (DTC) genetic tests can be purchased over the internet. Some companies claim to provide relative genetic risks for various diseases and thus encourage healthy behaviour. There are concerns that exposure to such information may actually discourage healthy behaviour or increase health anxiety. An online survey was conducted (n = 275). Respondents were composed of individuals who had purchased a DTC genetic test and received their results (consumers, n = 189), as well as individuals who were either awaiting test results or considering purchasing a test (potential consumers, n = 86). Consumers were asked if their health behaviour or health anxiety had changed after receiving their results. Respondents’ current health behaviour and health anxiety were queried and compared. In total, 27.3 % of consumers claimed a change in health behaviour, all either positive or neutral, with no reported cessation of any existing health behaviour. A change in health anxiety was claimed by 24.6 % of consumers, 85.3 % of which were a reduction. Consumers had significantly better health behaviour scores than potential consumers (p = 0.02), with no significant difference in health anxiety. This study points towards an association between receipt of DTC genetic test results and increased adoption of healthy behaviours for a minority of consumers based on self-report, with more mixed results in relation to health anxiety.",
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            "abstractNote": "With the uptake of social media, such as Facebook and Twitter, there is now a vast amount of new user generated content on a daily basis, much of it in the form of short, informal free-form text. Businesses, institutions, governments and law enforcement organisations are now actively seeking ways to monitor and more generally analyse public response to various events, products and services. Our primary aim in this project was the development of an approach for capturing a wide and comprehensive range of emotions from sparse, text based messages in social-media, such as Twitter, to help monitor emotional responses to events. Prior work has focused mostly on negative / positive sentiment classification tasks, and although numerous approaches employ highly elaborate and effective techniques with some success, the sentiment or emotion granularity is generally limiting and arguably not always most appropriate for real-world problems.\nIn this paper we employ an ontology engineering approach to the problem of fine-grained emotion detection in sparse messages. Messages are also processed using a custom NLP pipeline, which is appropriate for the sparse and informal nature of text encountered on micro-blogs. Our approach detects a range of eight high-level emotions; anger, confusion, disgust, fear, happiness, sadness, shame and surprise. We report f-measures (recall and precision) and compare our approach to two related approaches from recent literature.",
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