Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse

Though gestures can convey the meaning of the message and the thoughts of the speakers, there are limited research studies on how co-speech gestures are used in presenting engineering-related messages. This case study aims to understand how four types of gestures (beat, deictic, iconic, and metap...

Full description

Saved in:
Bibliographic Details
Main Author: Lee, Jean Choong Peng
Other Authors: School of Humanities
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176612
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-176612
record_format dspace
spelling sg-ntu-dr.10356-1766122024-05-28T06:56:23Z Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse Lee, Jean Choong Peng School of Humanities Language and Communications Centre Arts and Humanities Co-speech gestures Engineering proposal presentation ESP spoken discourse Multimodal discourse analysis Student oral presentation Gestures Though gestures can convey the meaning of the message and the thoughts of the speakers, there are limited research studies on how co-speech gestures are used in presenting engineering-related messages. This case study aims to understand how four types of gestures (beat, deictic, iconic, and metaphoric) are used in engineering proposal presentations to convey technical solutions in proposed products. This study employed a mixed-method research approach of using both multimodal discourse analysis and quantitative analysis to examine the ways two student presenters used co-speech gestures to communicate technical solutions in engineering proposal presentations. The findings showed that iconic gestures were used most frequently by one presenter to mimic the visual representations of designs and processes in engineering systems, co-occurring with spoken language to reinforce the propositional content. Deictic gestures were used most frequently by another presenter in directing the audience’s attention to visual figures to facilitate the explanation of technical content. In comparison, beat and metaphoric gestures were used less frequently. This case study informs multimodal research on ESP spoken discourse and provides pedagogical implications for the application of gestures to facilitate the communication of technical content and concepts in engineering presentations. Published version 2024-05-28T06:55:22Z 2024-05-28T06:55:22Z 2024 Journal Article Lee, J. C. P. (2024). Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse. ESP Today, 12(2), 319-348. https://dx.doi.org/10.18485/esptoday.2024.12.2.6 2334-9050 https://hdl.handle.net/10356/176612 10.18485/esptoday.2024.12.2.6 2 12 319 348 en ESP Today © The Author(s). Published by University of Belgrade and the Serbian Association for the Study of English (SASE). This is an open-access article distributed under the terms of the Creative Commons License. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Arts and Humanities
Co-speech gestures
Engineering proposal presentation
ESP spoken discourse
Multimodal discourse analysis
Student oral presentation
Gestures
spellingShingle Arts and Humanities
Co-speech gestures
Engineering proposal presentation
ESP spoken discourse
Multimodal discourse analysis
Student oral presentation
Gestures
Lee, Jean Choong Peng
Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse
description Though gestures can convey the meaning of the message and the thoughts of the speakers, there are limited research studies on how co-speech gestures are used in presenting engineering-related messages. This case study aims to understand how four types of gestures (beat, deictic, iconic, and metaphoric) are used in engineering proposal presentations to convey technical solutions in proposed products. This study employed a mixed-method research approach of using both multimodal discourse analysis and quantitative analysis to examine the ways two student presenters used co-speech gestures to communicate technical solutions in engineering proposal presentations. The findings showed that iconic gestures were used most frequently by one presenter to mimic the visual representations of designs and processes in engineering systems, co-occurring with spoken language to reinforce the propositional content. Deictic gestures were used most frequently by another presenter in directing the audience’s attention to visual figures to facilitate the explanation of technical content. In comparison, beat and metaphoric gestures were used less frequently. This case study informs multimodal research on ESP spoken discourse and provides pedagogical implications for the application of gestures to facilitate the communication of technical content and concepts in engineering presentations.
author2 School of Humanities
author_facet School of Humanities
Lee, Jean Choong Peng
format Article
author Lee, Jean Choong Peng
author_sort Lee, Jean Choong Peng
title Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse
title_short Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse
title_full Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse
title_fullStr Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse
title_full_unstemmed Co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of ESP spoken discourse
title_sort co-speech gestures in enhancing engineering proposal presentations: a multimodal analysis of esp spoken discourse
publishDate 2024
url https://hdl.handle.net/10356/176612
_version_ 1800916423867891712