6,995 research outputs found

    Supporting personalised content management in smart health information portals

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    Information portals are seen as an appropriate platform for personalised healthcare and wellbeing information provision. Efficient content management is a core capability of a successful smart health information portal (SHIP) and domain expertise is a vital input to content management when it comes to matching user profiles with the appropriate resources. The rate of generation of new health-related content far exceeds the numbers that can be manually examined by domain experts for relevance to a specific topic and audience. In this paper we investigate automated content discovery as a plausible solution to this shortcoming that capitalises on the existing database of expert-endorsed content as an implicit store of knowledge to guide such a solution. We propose a novel content discovery technique based on a text analytics approach that utilises an existing content repository to acquire new and relevant content. We also highlight the contribution of this technique towards realisation of smart content management for SHIPs.<br /

    An intelligent content discovery technique for health portal content management

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    Background: Continuous content management of health information portals is a feature vital for its sustainability and widespread acceptance. Knowledge and experience of a domain expert is essential for content management in the health domain. The rate of generation of online health resources is exponential and thereby manual examination for relevance to a specific topic and audience is a formidable challenge for domain experts. Intelligent content discovery for effective content management is a less researched topic. An existing expert-endorsed content repository can provide the necessary leverage to automatically identify relevant resources and evaluate qualitative metrics.Objective: This paper reports on the design research towards an intelligent technique for automated content discovery and ranking for health information portals. The proposed technique aims to improve efficiency of the current mostly manual process of portal content management by utilising an existing expert-endorsed content repository as a supporting base and a benchmark to evaluate the suitability of new content.Methods: A model for content management was established based on a field study of potential users. The proposed technique is integral to this content management model and executes in several phases (ie, query construction, content search, text analytics and fuzzy multi-criteria ranking). The construction of multi-dimensional search queries with input from Wordnet, the use of multi-word and single-word terms as representative semantics for text analytics and the use of fuzzy multi-criteria ranking for subjective evaluation of quality metrics are original contributions reported in this paper.Results: The feasibility of the proposed technique was examined with experiments conducted on an actual health information portal, the BCKOnline portal. Both intermediary and final results generated by the technique are presented in the paper and these help to establish benefits of the technique and its contribution towards effective content management.Conclusions: The prevalence of large numbers of online health resources is a key obstacle for domain experts involved in content management of health information portals and websites. The proposed technique has proven successful at search and identification of resources and the measurement of their relevance. It can be used to support the domain expert in content management and thereby ensure the health portal is up-to-date and current

    Sustaining Quality Assessment Processes in User-Centred Health Information Portals

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    Information portals are quality-controlled intermediaries, through which consumers can access online information of high relevance and quality. Developing and maintaining a portal’s content repository involves resource identification, selection and description processes undertaken by domain experts. Among these processes, the less standardised, manual quality assessment procedures are highlighted, where new solutions are imperative to solve its scalability and sustainability issues. Results of a qualitative analysis implicate that quality assessment is fundamentally a subjective issue that needs human intervention. For this reason, this research proposes a semi-automated quality assessment approach, in which a user-centred quality framework, an indicator-based quality model and a decision support tool are devised to address the identified domain expert needs for intelligent support. The system development methodology within design science framework is adopted by this research and the tool prototyping within the context of health information portals is underway to evaluate the feasibility and usefulness of the proposed approach

    Taxonomy of Usage Issues for Consumer-centric Online Health Information Provision

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    Consumers are increasingly using Internet portals when searching for relevant health information. Despite the broad range of health information portals (HIPs) available, usage problems with such portals are still widely recognized and reported. In this study, we analyzed usage data from an operational health information portal and identified ways in which these problems can be addressed. While previous usage data and log analysis research has focused more on user behaviors, query structures, and human-computer interaction issues, this study covers more comprehensive issues such as content. We describe a taxonomy of usage issues derived from a literature analysis. We describe how we validated and refined the taxonomy based on analyzing the usage data from an operational health portal. Findings from the usage data indicate that a range of content issues exist that lead to unsuccessful searches. The analysis also highlights that users’ ineffective information seeking strategies are not well supported by the system’s design. We use this taxonomy to propose a usage-driven, consumer-centered approach for dynamic improvements of HIPs. We also discuss the study’s limitations and directions for future research

    Development of User Warrant Ontology for Improving Online Health Information Provision

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    Health information portals (HIP) are gateways to reliable and personalised online health information. In practice, however, searching for information in HIP is still far from being effective due to the intricate nature of health information provision. Previous studies have shown the emerging trend of using domain ontology to address the retrieval issue in online healthcare information. Yet, the suitability of domain ontology alone for HIPs is still questionable due to the varied levels of user behaviour and preferences in information search. Inspired by this problem, we propose an ontology development method grounded on the collaboration between user warrant principles, knowledge engineering, and design science framework. The paper reports the development method and the implementation of such an user-warrant ontology that accommodates user-sensitivity into HIP. The evaluation process is conducted by domain experts responsible for portal management and validates the external semantic of the ontology according to a set of pre-defined evaluation criteria. Results from the application of this methodology to an actual HIP are also reported as this research demonstrates the potential of user warrant ontology to resolve information retrieval problem in HIP

    Information Outlook, July 2001

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    Volume 5, Issue 7https://scholarworks.sjsu.edu/sla_io_2001/1006/thumbnail.jp

    The Industry and Policy Context for Digital Games for Empowerment and Inclusion:Market Analysis, Future Prospects and Key Challenges in Videogames, Serious Games and Gamification

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    The effective use of digital games for empowerment and social inclusion (DGEI) of people and communities at risk of exclusion will be shaped by, and may influence the development of a range of sectors that supply products, services, technology and research. The principal industries that would appear to be implicated are the 'videogames' industry, and an emerging 'serious games' industry. The videogames industry is an ecosystem of developers, publishers and other service providers drawn from the interactive media, software and broader ICT industry that services the mainstream leisure market in games, The 'serious games' industry is a rather fragmented and growing network of firms, users, research and policy makers from a variety of sectors. This emerging industry is are trying to develop knowledge, products, services and a market for the use of digital games, and products inspired by digital games, for a range of non-leisure applications. This report provides a summary of the state of play of these industries, their trajectories and the challenges they face. It also analyses the contribution they could make to exploiting digital games for empowerment and social inclusion. Finally, it explores existing policy towards activities in these industries and markets, and draws conclusions as to the future policy relevance of engaging with them to support innovation and uptake of effective digital game-based approaches to empowerment and social inclusion.JRC.J.3-Information Societ
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