"Thank You for Sharing that Interesting Fact!" Effects of Capability and Context on Indirect Speech Act Use in Task-Based Human-Robot Dialogue

Naturally interacting robots must be able to understand natural human speech. As such, recent work has sought to allow robots to infer the intentions behind commonly used non-literal utterances such as indirect speech acts (ISAs). However, it is still unclear to what extent ISAs will actually be use...

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Vydáno v:	2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 298 - 306
Hlavní autoři:	Williams, Tom, Thames, Daria, Novakoff, Julia, Scheutz, Matthias
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	New York, NY, USA ACM 26.02.2018
Edice:	ACM Conferences
Témata:	Computing methodologies > Artificial intelligence > Natural language processing > Discourse, dialogue and pragmatics Human perceptions of robot communications Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > Laboratory experiments Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > User studies Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Natural language interfaces Human-robot interaction Intention understanding Robots Speech act theory Systematics Task analysis Task-based human-robot dialogue intention understanding task-based human-robot dialogue human perceptions of robot communications speech act theory
ISBN:	9781450349536, 1450349536
ISSN:	2167-2148
On-line přístup:	Získat plný text
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