Turn-taking is the process by which participants in a conversation alternate speech and silence, it is an essential component of spoken interaction. I order to lead productive conversations, people need not only know what to say but also when to say it. Usually, we evaluate the whole communication process focusing our attention on semantic meanings of exchanged words, but actually this analysis cannot be automatically performed. In this paper we propose a method to extract information on the dynamics of the dialog processes through simple turn-taking quantitative measurements. Over 1000 research interviews made from students during their psychology university course have been analyzed. Each whole interview process has been considered as a complex system evolving in the time. Our approach founds on analogies between interviews and mathematical chaotic processes. The proposed procedure allows the extraction of information on the dialog evolution: phase portraits with anomalous paths indicate situations where the communication has been troubled from external references.

Turn Taking: A Tool for Dialog Processes

Giovanna Morgavi;Mauro Morando;Marconi Lucia;Cutugno Paola
2013

Abstract

Turn-taking is the process by which participants in a conversation alternate speech and silence, it is an essential component of spoken interaction. I order to lead productive conversations, people need not only know what to say but also when to say it. Usually, we evaluate the whole communication process focusing our attention on semantic meanings of exchanged words, but actually this analysis cannot be automatically performed. In this paper we propose a method to extract information on the dynamics of the dialog processes through simple turn-taking quantitative measurements. Over 1000 research interviews made from students during their psychology university course have been analyzed. Each whole interview process has been considered as a complex system evolving in the time. Our approach founds on analogies between interviews and mathematical chaotic processes. The proposed procedure allows the extraction of information on the dialog evolution: phase portraits with anomalous paths indicate situations where the communication has been troubled from external references.
Campo DC Valore Lingua
dc.authority.anceserie EDUCATIONAL TECHNOLOGIES SERIES -
dc.authority.people Giovanna Morgavi it
dc.authority.people Mauro Morando it
dc.authority.people Marconi Lucia it
dc.authority.people Cutugno Paola it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 877 *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/20 23:11:15 -
dc.date.available 2024/02/20 23:11:15 -
dc.date.issued 2013 -
dc.description.abstracteng Turn-taking is the process by which participants in a conversation alternate speech and silence, it is an essential component of spoken interaction. I order to lead productive conversations, people need not only know what to say but also when to say it. Usually, we evaluate the whole communication process focusing our attention on semantic meanings of exchanged words, but actually this analysis cannot be automatically performed. In this paper we propose a method to extract information on the dynamics of the dialog processes through simple turn-taking quantitative measurements. Over 1000 research interviews made from students during their psychology university course have been analyzed. Each whole interview process has been considered as a complex system evolving in the time. Our approach founds on analogies between interviews and mathematical chaotic processes. The proposed procedure allows the extraction of information on the dialog evolution: phase portraits with anomalous paths indicate situations where the communication has been troubled from external references. -
dc.description.affiliations CNR -
dc.description.allpeople Morgavi, Giovanna; Morando, Mauro; Marconi, Lucia; Cutugno, Paola -
dc.description.allpeopleoriginal Giovanna Morgavi, Mauro Morando, Marconi Lucia, Cutugno Paola -
dc.description.fulltext none en
dc.description.numberofauthors 4 -
dc.identifier.isbn 978-1-61804-155-5 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/181756 -
dc.language.iso eng -
dc.publisher.country USA -
dc.publisher.name WSEAS -
dc.publisher.place Wisconsin -
dc.relation.alleditors Azami Zaharim, Valery Vodovozov -
dc.relation.conferencedate Jan 30 - Feb 1, 2013 -
dc.relation.conferencename 4th International Conference on Education Technologies (EET '13) -
dc.relation.conferenceplace Cambridge, MA, USA -
dc.relation.firstpage 15 -
dc.relation.ispartofbook Recent Advances in Educational Technologies: Proceedings of the 4th International Conference on education and educational technologies (EET '13). - Salem, OR : Wseas LLC -
dc.relation.lastpage 20 -
dc.relation.numberofpages 6 -
dc.subject.keywords turn-taking -
dc.subject.keywords phase portrait -
dc.subject.keywords dialog characterization -
dc.subject.keywords dialog processes -
dc.subject.keywords linguistic interaction -
dc.subject.singlekeyword turn-taking *
dc.subject.singlekeyword phase portrait *
dc.subject.singlekeyword dialog characterization *
dc.subject.singlekeyword dialog processes *
dc.subject.singlekeyword linguistic interaction *
dc.title Turn Taking: A Tool for Dialog Processes en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.ugov.descaux1 216176 -
iris.orcid.lastModifiedDate 2024/04/05 05:19:57 *
iris.orcid.lastModifiedMillisecond 1712287197957 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/181756
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