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Context change and triggers for human intention recognition

Tong, Tong, Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544 and Hicks, Yulia ORCID: https://orcid.org/0000-0002-7179-4587 2022. Context change and triggers for human intention recognition. Procedia Computer Science 207 , pp. 3826-3835. 10.1016/j.procs.2022.09.444

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Abstract

In human-robot interaction, understanding human intention is important to smooth interaction between humans and robots. Proactive human-robot interactions are the trend. They rely on recognising human intentions to complete tasks. The reasoning is accomplished based on the current human state, environment and context, and human intention recognition and prediction. Many factors may affect human intention, including clues which are difficult to recognise directly from the action but may be perceived from the change in the environment or context. The changes that affect human intention are the triggers and serve as strong evidence for identifying human intention. Therefore, detecting such changes and identifying such triggers are the promising approach to assist in human intention recognition. This paper discusses the current state of art in human intention recognition in human-computer interaction and illustrates the importance of context change and triggers for human intention recognition in a variety of examples.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 1877-0509
Funders: WEFO
Date of First Compliant Deposit: 20 October 2022
Date of Acceptance: 1 August 2022
Last Modified: 21 Oct 2022 09:15
URI: https://orca.cardiff.ac.uk/id/eprint/153604

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