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https://www.um.edu.mt/library/oar/handle/123456789/115280
Title: | Training an EOG-based wordometer without reading - a simple HCI application to quantify reading metrics |
Authors: | Mifsud, Matthew Camilleri, Tracey A. Camilleri, Kenneth P. |
Keywords: | Electrooculography Eye tracking Eye -- Movements Tracking (Engineering) Literacy |
Issue Date: | 2023 |
Publisher: | Springer |
Citation: | Mifsud, 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. |
Abstract: | Reading 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. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/115280 |
Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
File | Description | Size | Format | |
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2023 Mifsud - Training an EOG-Based Wordometer Without Reading - A Simple HCI Application to Quantify Reading Metrics.pdf Restricted Access | 447.15 kB | Adobe PDF | View/Open Request a copy |
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