Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/115280
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dc.contributor.authorMifsud, Matthew-
dc.contributor.authorCamilleri, Tracey A.-
dc.contributor.authorCamilleri, Kenneth P.-
dc.date.accessioned2023-11-08T10:57:16Z-
dc.date.available2023-11-08T10:57:16Z-
dc.date.issued2023-
dc.identifier.citationMifsud, M., Camilleri, T. A. & Camilleri, K. P. (2023). Training an EOG-based wordometer without reading - a Simple HCI application to quantify reading metrics. 25th International Conference on Human-Computer Interaction, Copenhagen. 366-373.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/115280-
dc.description.abstractReading is the activity through which humans decipher written symbols in an effort to extract information from written text. Whether written on paper, or displayed on a screen, literacy can be considered as a valuable tool to one’s social and educational development. Through the use of electrooculography (EOG), as a means of tracking one’s eye movements, this work presents the development of a novel Wordometer application, capable of measuring the quantity of reading. Through the incorporation of a novel light-weight cue-based training protocol, this application obtained an average word estimation error of 8.23% when tested across five human subjects using EOG data.en_GB
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectElectrooculographyen_GB
dc.subjectEye trackingen_GB
dc.subjectEye -- Movementsen_GB
dc.subjectTracking (Engineering)en_GB
dc.subjectLiteracyen_GB
dc.titleTraining an EOG-based wordometer without reading - a simple HCI application to quantify reading metricsen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename25th International Conference on Human-Computer Interactionen_GB
dc.bibliographicCitation.conferenceplaceCopenhagen, Denmark. 23-28/07/2023.en_GB
dc.description.reviewedpeer-revieweden_GB
Appears in Collections:Scholarly Works - FacEngSCE



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