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Gavin Sim

Researcher at University of Central Lancashire

Publications -  90
Citations -  1297

Gavin Sim is an academic researcher from University of Central Lancashire. The author has contributed to research in topics: Usability & Participatory design. The author has an hindex of 17, co-authored 81 publications receiving 1033 citations.

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Journal ArticleDOI

All work and no play: Measuring fun, usability, and learning in software for children

TL;DR: The findings from the study demonstrate that in this instance learning was not correlated with fun or usability, that observed fun and observed usability were correlated, and that children of this age appeared to be able to differentiate between the constructs used to describe software quality.
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Implementation of computer assisted assessment: lessons from the literature

TL;DR: It is suggested that an institutional strategy for CAA coupled with staff development in test construction for a CAA environment can increase the chances of successful implementation, and inspire further research into CAA from a technological and pedagogical perspective.
Proceedings ArticleDOI

Assessing usability and fun in educational software

TL;DR: An investigation into the relationship between usability and fun in educational software designed for children showed that in both observational data, and user reports, ratings for fun and usability were correlated, but that there was no significant correlation between the observed data and the reported data.
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Inter-patient ECG classification with convolutional and recurrent neural networks

TL;DR: In this article, a deep learning model architecture is proposed and evaluated using the MIT-BIH Arrhythmia and Supraventricular Databases and the results obtained show that without applying any complicated data pre-processing or feature engineering methods, both of their models have considerably outperformed the state-of-the-art performance for supraventricular (SVEB) and ventricular (VEB), arrhythmia classifications on the unseen testing dataset (with the F1 score improved from 51.08 to 61.25 for SVEB detection and from
Proceedings ArticleDOI

CHECk: a tool to inform and encourage ethical practice in participatory design with children

TL;DR: A new tool is presented, CHECk, designed to challenge researchers in CCI and HCI to critically consider the reasons for involving children in design projects and to examine how best to describe design activities in order that children can better consent to participate.