74651.pdf

The present research explores non-verbal behavior that accompanies the management of turns in naturally occurring conversations. To analyze turn management, we implemented the ISO 24617-2 multidimensional dialog act annotation scheme. The classification of the communicative intent of non-verbal beha...

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Έκδοση: InTechOpen 2021
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spelling oapen-20.500.12657-493862021-11-23T14:03:43Z Chapter Can Turn-Taking Highlight the Nature of Non-Verbal Behavior: A Case Study Mlakar, Izidor Rojc, Matej Verdonik, Darinka Majhenič, Simona non-verbal behavior, non-verbal communicative intent, multimodal analysis, background expressions, regulators, deictics, turn-taking, dialog acts, ISO 24617-2 bic Book Industry Communication::J Society & social sciences The present research explores non-verbal behavior that accompanies the management of turns in naturally occurring conversations. To analyze turn management, we implemented the ISO 24617-2 multidimensional dialog act annotation scheme. The classification of the communicative intent of non-verbal behavior was performed with the annotation scheme for spontaneous authentic communication called the EVA annotation scheme. Both dialog acts and non-verbal communicative intent were observed according to their underlying nature and information exchange channel. Both concepts were divided into foreground and background expressions. We hypothesize that turn management dialog acts, being a background expression, co-occur with communication regulators, a class of non-verbal communicative intent, which are also of background nature. Our case analysis confirms this hypothesis. Furthermore, it reveals that another group of non-verbal communicative intent, the deictics, also often accompany turn management dialog acts. As deictics can be both foreground and background expressions, the premise that background non-verbal communicative intent is interlinked with background dialog acts is upheld. And when deictics were perceived as part of the foreground they co-occurred with foreground dialog acts. Therefore, dialog acts and non-verbal communicative intent share the same underlying nature, which implies a duality of the two concepts. 2021-06-02T10:13:44Z 2021-06-02T10:13:44Z 2021 chapter ONIX_20210602_10.5772/intechopen.95516_500 https://library.oapen.org/handle/20.500.12657/49386 eng application/pdf n/a 74651.pdf InTechOpen 10.5772/intechopen.95516 10.5772/intechopen.95516 09f6769d-48ed-467d-b150-4cf2680656a1 H2020-SC1-DTH-2019 875406 open access
institution OAPEN
collection DSpace
language English
description The present research explores non-verbal behavior that accompanies the management of turns in naturally occurring conversations. To analyze turn management, we implemented the ISO 24617-2 multidimensional dialog act annotation scheme. The classification of the communicative intent of non-verbal behavior was performed with the annotation scheme for spontaneous authentic communication called the EVA annotation scheme. Both dialog acts and non-verbal communicative intent were observed according to their underlying nature and information exchange channel. Both concepts were divided into foreground and background expressions. We hypothesize that turn management dialog acts, being a background expression, co-occur with communication regulators, a class of non-verbal communicative intent, which are also of background nature. Our case analysis confirms this hypothesis. Furthermore, it reveals that another group of non-verbal communicative intent, the deictics, also often accompany turn management dialog acts. As deictics can be both foreground and background expressions, the premise that background non-verbal communicative intent is interlinked with background dialog acts is upheld. And when deictics were perceived as part of the foreground they co-occurred with foreground dialog acts. Therefore, dialog acts and non-verbal communicative intent share the same underlying nature, which implies a duality of the two concepts.
title 74651.pdf
spellingShingle 74651.pdf
title_short 74651.pdf
title_full 74651.pdf
title_fullStr 74651.pdf
title_full_unstemmed 74651.pdf
title_sort 74651.pdf
publisher InTechOpen
publishDate 2021
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