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dc.contributor.authorFlood, D.en
dc.contributor.authorGermanakos, Panagiotisen
dc.contributor.authorHarrison, R.en
dc.contributor.authorMcCaffery, F.en
dc.contributor.authorSamaras, George S.en
dc.creatorFlood, D.en
dc.creatorGermanakos, Panagiotisen
dc.creatorHarrison, R.en
dc.creatorMcCaffery, F.en
dc.creatorSamaras, George S.en
dc.description.abstractMobile applications have the potential to improve the quality of care received by patients from their primary care physicians (PCP). They can allow doctors to access the information they need when and where they need it in order to make informed decisions regarding patients' health. They can also allow patients to better control conditions such as Diabetes and Gaucher's disease. However, there are a number of limitations to these devices, such as small screen sizes and limited processing power, which can produce cognitive overload which in turn can negatively impact upon the decision making processes. This paper introduces a new research direction which aims to predict, during the development of mobile health care applications, when cognitive overload is likely to occur. By identifying the user's previous level of experience, their working memory, the complexity of the interface and the level of distraction imposed by the user's context, a prediction can be made as to when cognitive overload is likely to occur.en
dc.sourceICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systemsen
dc.source14th International Conference on Enterprise Information Systems, ICEIS 2012en
dc.subjectInformation systemsen
dc.subjectDecision support systemsen
dc.subjectDisease controlen
dc.subjectHuman factorsen
dc.subjectMobile applicationsen
dc.subjectHuman engineeringen
dc.subjectWorking memoriesen
dc.subjectHealth careen
dc.subjectCognitive overloaden
dc.subjectDecision making processen
dc.subjectDecision supportsen
dc.subjectGaucher's diseaseen
dc.subjectInformed decisionen
dc.subjectInterface designen
dc.subjectInterface designsen
dc.subjectMedical domainsen
dc.subjectMobile health careen
dc.subjectPrimary careen
dc.subjectProcessing poweren
dc.subjectQuality of careen
dc.subjectResearch directionsen
dc.subjectSmall screensen
dc.titleEstimating cognitive overload in mobile applications for decision support within the medical domainen
dc.description.volume3 HCIen
dc.description.endingpage107 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: Inst. Syst. Technol. Inf., Control Commun. (INSTICC)en
dc.description.notesConference code: 92414en
dc.description.notesCited By :3</p>en

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