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Responsible Research and Innovation with data science: a novel approach to evaluate trust of the European TeSLA system.

Okada, Alexandra and Whitelock, Denise (2018). Responsible Research and Innovation with data science: a novel approach to evaluate trust of the European TeSLA system. In: 6th International Conference on Human-Agent Interaction, 15-18 Dec 2018, Southhampton.

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Abstract

This work presents a novel approach RRI supported by data science to measure and evaluate trust during the development of the innovative technology “TeSLA“.

The EU‐funded Adaptive Trust‐based e‐Assessment System for Learning (TeSLA) (http://tesla-project.eu) was developed to check student authentication and authorship through a combination of various instruments, such as: facial recognition, voice recognition, keystroke analysis, anti‐plagiarism and forensic analysis.

Through mixed methods, three case-studies analysed small, medium and large data sets co-produced at the beginning, during and at the end of the TeSLA project in seven Institutions from 6 European countries.
The set of studies revealed that the RRI with data science approach was vital to examine the perceptions and needs of distinctive users as well to evaluate and increase trust of the European TeSLA system.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 The Authors
Project Funding Details:
Funded Project NameProject IDFunding Body
TeSLA688520European Commission
Academic Unit/School: Faculty of Wellbeing, Education and Language Studies (WELS) > Education, Childhood, Youth and Sport > Education
Faculty of Wellbeing, Education and Language Studies (WELS) > Education, Childhood, Youth and Sport
Faculty of Wellbeing, Education and Language Studies (WELS)
Research Group: OpenTEL
Related URLs:
Item ID: 58244
Depositing User: Alexandra Okada
Date Deposited: 17 Dec 2018 09:57
Last Modified: 11 May 2019 17:16
URI: http://oro.open.ac.uk/id/eprint/58244
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