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Practical use of Virtual Assistants and Voice User Interfaces in Engineering Laboratories

Callaghan, Michael, Putinelu, Victor Bogdan, Ball, Jeremy, Salillas, Jorge Caballero, Vannier, Thibault and Gómez Eguíluz, Augusto (2016) Practical use of Virtual Assistants and Voice User Interfaces in Engineering Laboratories. In: 14th International Conference on Remote Engineering and Virtual Instrumentation, 15-17 March 2017, Columbia University, New York, USA. Springer. 12 pp. [Conference contribution]

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Abstract

Automatic Question-Answering (QA) systems and speech recognition/synthesis functionality and accuracy has improved dramatically over the last decade allowing the use of voice interactions for increasingly complex tasks. Virtual assistants, based on speech-based services are growing in popularity and are now entering the mainstream. These services and devices come with a set of built-in capabilities and in some instances allow the creation and addition of new functionality and abilities facilitating their use in a range of diverse application areas. Practical electronic and electrical engineering laboratories for undergraduate students are evolving incrementally driven by affordable instrumentation and hardware kit with internet access but remain fundamentally unchanged. This paper explores the practical use of virtual assistants and voice user interfaces in electronic and electrical engineering laboratories to tutor and assess students while accessing and controlling test instrumentation and circuits. The re-purposing of existing teaching resources and material for use in this context is discussed and a case study and practical working example of a virtual assistant laboratory demonstrating the viability of this approach is shown.

Item Type:Conference contribution (Paper)
Keywords:Automatic Question-Answering (QA) systems, speech recognition and synthesis, virtual assistants, voice user interface practical laboratories
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:36635
Deposited By: Mr Michael Callaghan
Deposited On:23 Feb 2017 15:02
Last Modified:17 Oct 2017 16:27

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