A situation that we had never imagined: Post-Fukushima virtual collaborations for determining robot task metrics

Martin, Stewart; Naamani, Catherine; Vallance, Michael

Abstract

There is no consensus regarding a common set of metrics for robot task complexity in associated human-robot interactions. This paper is an attempt to address this issue by proposing a new metric so that the educational potential when using robots can be further developed. Tasks in which students in Japan and UK interact in a 3D virtual space to collaboratively program robots to navigate mazes have resulted in quantitative data of immersion, circuit task complexity and robot task complexity. The data has subsequently been collated to create a proposed new metric for tasks involving robots, which we have termed task fidelity. The paper proposes that task fidelity is a quantitative measure of a set robot task in relation to a learner's solution. By quantifying task fidelity educators utilising robots in schools and in higher education will be able to provide tasks commensurate with the expected successful outcomes achieved by the learners.

Citation

Martin, S., Naamani, C., & Vallance, M. (2015). A situation that we had never imagined: Post-Fukushima virtual collaborations for determining robot task metrics. International Journal of Learning Technology, 10(1), 30-49. https://doi.org/10.1504/IJLT.2015.069453

• Journal Article Type: Article
• Online Publication Date: May 14, 2015
• Publication Date: Jan 1, 2015
• Deposit Date: Oct 20, 2016
• Publicly Available Date: Oct 20, 2016
• Journal: International journal of learning technology
• Print ISSN: 1477-8386
• Publisher: Inderscience
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 1
• Pages: 30-49
• DOI: https://doi.org/10.1504/IJLT.2015.069453
• Keywords: Architectures for educational technology system; Improving classroom teaching; Robotics; Programming; Simulations; Virtual reality
• Public URL: https://hull-repository.worktribe.com/output/444422
• Publisher URL: http://www.inderscience.com/info/inarticle.php?artid=69453
• Additional Information: This is the author's accepted manuscript of an article published in: International journal of learning technology, 2015, v.10 issue 1.
• Contract Date: Oct 20, 2016