Analysing explanation-related interactions in collaborative perception-cognition-communication-action

Roig Vilamala, Marc, Furby, Jack, de Gortari Briseno, Julian, Srivastava, Mani, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Fuentes Toro, Carolina 2024. Analysing explanation-related interactions in collaborative perception-cognition-communication-action. Presented at: RO-MAN 2024: 33rd IEEE International Conference on Robot and Human Interactive Communication, Pasadena, CA, USA, 26-30 August 2024. IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (2024). IEEE,

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Abstract

Effective communication is essential in collaborative tasks, so AI-equipped robots working alongside humans need to be able to explain their behaviour in order to cooperate effectively and earn trust. We analyse and classify communications among human participants collaborating to complete a simulated emergency response task. The analysis identifies messages that relate to various kinds of interactive explanations identified in the explainable AI literature. This allows us to understand what type of explanations humans expect from their teammates in such settings, and thus where AI-equipped robots most need explanation capabilities. We find that most explanation-related messages seek clarification in the decisions or actions taken. We also confirm that messages have an impact on the performance of our simulated task.

Item Type:	Conference or Workshop Item (Paper)
Status:	In Press
Schools:	Computer Science & Informatics
Publisher:	IEEE
Funders:	DEVCOM Army Research Laboratory
Date of First Compliant Deposit:	29 November 2024
Date of Acceptance:	26 June 2024
Last Modified:	09 Dec 2024 16:15
URI:	https://orca.cardiff.ac.uk/id/eprint/174411

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