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Speech Act Theory as an Evaluation Tool for Human–Agent Communication

Department of Computing, Macquarie University, North Ryde, NSW 2109, Australia
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Algorithms 2019, 12(4), 79; https://doi.org/10.3390/a12040079
Received: 29 January 2019 / Revised: 12 April 2019 / Accepted: 14 April 2019 / Published: 17 April 2019
(This article belongs to the Special Issue Social Computing and Multiagent Systems)
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Abstract

Effective communication in task-oriented situations requires high-level interactions. For human–agent collaboration, tasks need to be coordinated in a way that ensures mutual understanding. Speech Act Theory (SAT) aims to understand how utterances can be used to achieve actions. SAT consists of three components: locutionary act, illocutionary act, and perlocutionary act. This paper evaluates the agent’s verbal communication while collaborating with humans. SAT was used to anatomize the structure of the agent’s speech acts (locutionary acts), the agent’s intention behind the speech acts (illocutionary acts), and the effects on the human’s mental state (perlocutionary acts). Moreover, this paper studies the impact of human perceptions of the agent’s speech acts on the perception of collaborative performance with the agent. View Full-Text
Keywords: human–agent communication; human–agent collaboration; speech act theory; evaluation tool human–agent communication; human–agent collaboration; speech act theory; evaluation tool
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Hanna, N.; Richards, D. Speech Act Theory as an Evaluation Tool for Human–Agent Communication. Algorithms 2019, 12, 79.

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