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An eye-tracking approach to the analysis of relevance judgments on the Web: The case of Google search engine.

, and . J. Assoc. Inf. Sci. Technol., 63 (9): 1728-1746 (2012)

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What eyes can tell about the use of relevance criteria during predictive relevance judgment?, and . IIiX, page 389-394. ACM, (2010)User-Centred Learning Object Metadata for Effective and Efficient E-learning Environments., , and . ERCIM News, (2007)Designing Metadata Surrogates for Search Result Interfaces of Learning Object Repositories: Linear versus Clustered Metadata Design., , and . ELPUB, page 415-424. (2007)The relationship of socio-demographic factors and patient attitudes to connected health technologies: A survey of stroke survivors., , , , , , , , , and 2 other author(s). Health Informatics J., 28 (2): 146045822211023 (2022)Multi-method laboratory user evaluation of an actionable clinical performance information system: Implications for usability and patient safety., , , , and . J. Biomed. Informatics, (2018)Learners' perceptions on the importance of learning object metadata for relevance judgement., , , , , and . Int. J. Metadata Semant. Ontologies, 7 (4): 283-294 (2012)Data Quality Issues and Content Analysis for Research Data Repositories : The Case of Dryad., , , and . ELPUB, page 49-58. IOS Press, (2014)The effects of discipline on the application of learning object metadata in UK higher education: the case of the Jorum repository., , and . Inf. Res., (2011)Information Retrieval from Civil Engineering Repositories: Importance of Context and Granularity., and . J. Comput. Civ. Eng., 26 (6): 727-740 (2012)Metadata Requirements for Repositories in Health Informatics Research: Evidence from the Analysis of Social Media Citations., , , , , and . MTSR, volume 390 of Communications in Computer and Information Science, page 246-257. Springer, (2013)