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, Southampton.

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.

Viewing alternatives

Look up in Google Scholar

Download history

Item Actions

Export

About

CORE (COnnecting REpositories)

Recommendations