Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10466
Title: Intelligent approach to reduce overstimulation for multi-screen computing systems
Authors: Periola, Ayodele Abiola 
Alonge, Akintunde Ayodeji 
Ogudo, Kingsley A. 
Keywords: Modern power grids;Future networks;Computing systems;Cognitive overstimulation;Visual sensory load
Issue Date: 2024
Publisher: IEEE
Source: Periola, A.A., Alonge, A.A. & Ogudo, K.A. 2024. Intelligent approach to reduce overstimulation for multi-screen computing systems. (In: 2024 47th MIPRO ICT and Electronics Convention (MIPRO), Opatija, Croatia, 20-24 May 2024. p. 1420-1426). [https://doi.org/10.1109/MIPRO60963.2024.10569532]
Conference: 47th MIPRO ICT and Electronics Convention (MIPRO) 
Abstract: The use of computing systems is expected to significantly increase with the rapid proliferation of high-speed computing networks, and their use in modern internet integrated power systems. The increased adoption of computing entities and systems is accompanied with associated usage-related cognitive concerns. An important concern in this regard is that of cognitive overstimulation. Cognitive overstimulation arises in this case when the eyes execute roaming thereby accessing content from multiple web pages. The execution of eye roaming in this manner results in a visual sensory load. The concerned visual sensory load becomes significant when the concerned user utilizes a multi-screen computing system for enhancing individual productivity. The presented research proposes an intelligent mechanism to enable selective web page minimization, maximization, and migration between screens to reduce the visual sensory load. In addition, the proposed intelligent mechanism executes selective activation and deactivation based on the number of mouse click related activities. Performance evaluation shows that the proposed mechanism reduces the visual sensory load by (44 - 70)% on average.
URI: http://hdl.handle.net/11189/10466
ISBN: 979-8-3503-8250-1 (Online)
ISSN: 2623-8764 (Online)
DOI: https://doi.org/10.1109/MIPRO60963.2024.10569532
Appears in Collections:Eng - Conference Papers

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