Encoding of emotions in Singapore Sign Language (SgSL)

This paper describes the strategies for the expression of emotions by users of Singapore Sign Language (SgSL). The study of emotions in sign language is lacking and this study aims to expand the existing research, adding to the research on the transmission of affective message through manual movemen...

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Main Author: Muhammad Hidayat Abdul Khalid
Other Authors: Frantisek Kratochvil
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/69697
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-696972019-12-10T13:57:38Z Encoding of emotions in Singapore Sign Language (SgSL) Muhammad Hidayat Abdul Khalid Frantisek Kratochvil School of Humanities and Social Sciences DRNTU::Humanities This paper describes the strategies for the expression of emotions by users of Singapore Sign Language (SgSL). The study of emotions in sign language is lacking and this study aims to expand the existing research, adding to the research on the transmission of affective message through manual movements. This is done by observing the latter as well as non-manuals in conversation to determine if there are certain features that can be mapped onto the expression of specific emotions. A user of SgSL was recorded and his expressions of emotions were analysed to determine the features of the signing that is significant in identifying the emotions. Seven participants are shown these clips to discern the emotions. Participants were able to agree on the emotion category of the stimuli, despite not agreeing with the originally identified emotion. The features of expression that maps onto emotion categories could not be clearly defined as there were insufficient members in the emotion category or divergent members in the category could not be compared within the group. Bachelor of Arts 2017-03-20T03:14:52Z 2017-03-20T03:14:52Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/69697 en Nanyang Technological University 56 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Humanities
spellingShingle DRNTU::Humanities
Muhammad Hidayat Abdul Khalid
Encoding of emotions in Singapore Sign Language (SgSL)
description This paper describes the strategies for the expression of emotions by users of Singapore Sign Language (SgSL). The study of emotions in sign language is lacking and this study aims to expand the existing research, adding to the research on the transmission of affective message through manual movements. This is done by observing the latter as well as non-manuals in conversation to determine if there are certain features that can be mapped onto the expression of specific emotions. A user of SgSL was recorded and his expressions of emotions were analysed to determine the features of the signing that is significant in identifying the emotions. Seven participants are shown these clips to discern the emotions. Participants were able to agree on the emotion category of the stimuli, despite not agreeing with the originally identified emotion. The features of expression that maps onto emotion categories could not be clearly defined as there were insufficient members in the emotion category or divergent members in the category could not be compared within the group.
author2 Frantisek Kratochvil
author_facet Frantisek Kratochvil
Muhammad Hidayat Abdul Khalid
format Final Year Project
author Muhammad Hidayat Abdul Khalid
author_sort Muhammad Hidayat Abdul Khalid
title Encoding of emotions in Singapore Sign Language (SgSL)
title_short Encoding of emotions in Singapore Sign Language (SgSL)
title_full Encoding of emotions in Singapore Sign Language (SgSL)
title_fullStr Encoding of emotions in Singapore Sign Language (SgSL)
title_full_unstemmed Encoding of emotions in Singapore Sign Language (SgSL)
title_sort encoding of emotions in singapore sign language (sgsl)
publishDate 2017
url http://hdl.handle.net/10356/69697
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