Conversational homes

O'Leary, Nick, Braines, David, Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 and Webberley, William 2017. Conversational homes. Presented at: The Ninth International Conference on Advanced Cognitive Technologies and Applications, Athens, Greece, 19 - 23 February 2017. ThinkMind: COGNITIVE 2017. The 9th International Conference on Advanced Cognitive Technologies and Applications. IARIA, pp. 82-89.

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Abstract

As devices proliferate, the ability for us to interact with them in an intuitive and meaningful way becomes increasingly challenging. In this paper we take the typical home as an experimental environment to investigate the challenges and potential solutions arising from ever-increasing device proliferation and complexity. We show a potential solution based on conversational interactions between “things” in the environment where those things can be either machine devices or human users. Our key innovation is the use of a Controlled Natural Language (CNL) technology as the underpinning information representation language for both machine and human agents, enabling humans and machines to trivially “read” the information being exchanged. The core CNL is augmented with a conversational protocol enabling different speech acts to be exchanged within the system. This conversational layer enables key contextual information to be conveyed, as well as providing a mechanism for translation from the core CNL to other forms, such as device specific API requests, or more easily consumable human representations. Our goal is to show that a single, uniform language can support machine- machine, machine-human, human-machine and human-human interaction in a dynamic environment that is able to rapidly evolve to accommodate new devices and capabilities as they are encountered.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	IARIA
ISBN:	9781612085319
ISSN:	2308-4197
Related URLs:	Organisation
Date of First Compliant Deposit:	18 March 2017
Date of Acceptance:	26 January 2017
Last Modified:	21 Oct 2022 07:07
URI:	https://orca.cardiff.ac.uk/id/eprint/99165

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