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Panos Balatsoukas

Researcher at University of Manchester

Publications -  29
Citations -  499

Panos Balatsoukas is an academic researcher from University of Manchester. The author has contributed to research in topics: Metadata & Relevance (information retrieval). The author has an hindex of 12, co-authored 27 publications receiving 438 citations. Previous affiliations of Panos Balatsoukas include University of Strathclyde & Loughborough University.

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The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness

TL;DR: The research on the integration of expert-led health promotion interventions with online social networking is reviewed to determine the extent to which the complementary benefits of each are understood and used and to investigate the effect of theory on the effectiveness of this type of technology for health promotion.
Journal Article

Learning Objects Update: Review and Critical Approach to Content Aggregation.

TL;DR: A substantive body of literature was reviewed and analysed to identify current issues in the field of learning objects, and more specifically, learning object content models.
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An eye-tracking approach to the analysis of relevance judgments on the Web: The case of Google search engine

TL;DR: A novel stepwise methodological framework is presented for the analysis of relevance judgments and eye movements on the Web and new patterns of relevance criteria use during predictive relevance judgment are shown.
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Interface design recommendations for computerised clinical audit and feedback: Hybrid usability evidence from a research-led system

TL;DR: This work presents a novel theoretically-informed computerised audit and feedback system that identifies usability issues by employing an innovative hybrid inspection approach and translates findings into recommendations for the user-centred design of e-A&F systems.
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An evaluation framework of user interaction with metadata surrogates

TL;DR: A framework for the evaluation of user interaction with textual metadata surrogates in the search result interfaces of various types of Information Retrieval (IR) systems is proposed and the implications would be to inform designers and researchers of IR systems about the main components of users' interaction withmetadata surrogates and to facilitate the process of evaluating metadata surrogate in terms of content and presentation.