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Towards alignment strategies in human-agent interactions based on measures of lexical repetitions
In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03147824 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (2), pp.353-388. ⟨10.1007/s10579-021-09532-w⟩ ; https://link.springer.com/journal/10579/volumes-and-issues/55-2 (2021)
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Towards alignment strategies in human-agent interactions based on measures of lexical repetitions
In: ISSN: 1574-020X ; EISSN: 1572-8412 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03147824 ; Language Resources and Evaluation, Springer Verlag, 2021, ⟨10.1007/s10579-021-09532-w⟩ (2021)
Abstract: International audience ; Alignment of communicative behaviour is an important feature of Human-Human interaction that directly affects the collaboration and the social connection of conversational partners. With the aim of improving virtual agent communicative capabilities, and in particular its strategies related to (lexical) verbal alignment, this article focuses on the alignment of linguistic productions of dialogue participants in task-oriented dialogues. We propose a new framework to quantify both the lexical alignment and the self-repetition behaviours of dialogue participants from dyadic dialogue transcripts. It involves easily computable measures based on repetition of lexical patterns automatically extracted via a sequential pattern mining approach. These measures allow the characterisation of the nature of these processes by addressing various informative aspects
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Human-machine dialogue; Lexical repetitions; Verbal Alignment
URL: https://hal.archives-ouvertes.fr/hal-03147824v1/document
https://hal.archives-ouvertes.fr/hal-03147824v1/file/21_LRE_version_pour_HAL.pdf
https://hal.archives-ouvertes.fr/hal-03147824
https://doi.org/10.1007/s10579-021-09532-w
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3
A Methodology for the Automatic Extraction and Generation of Non-Verbal Signals Sequences Conveying Interpersonal Attitudes
In: ISSN: 1949-3045 ; IEEE Transactions on Affective Computing ; https://hal.archives-ouvertes.fr/hal-01793271 ; IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2017, XX, pp.1 - 1. ⟨10.1109/TAFFC.2017.2753777⟩ (2017)
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