Learning Interpersonal Stance in Voice
This work presents a simulation-based training application to enhance people’s ability to express interpersonal stance using their voice. The results show that the application helps people to learn the principles of Leary’s interpersonal stance theory, and distinguish between the eight basic stances...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2020-09-01
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Series: | Array |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005620300175 |
_version_ | 1818353641781723136 |
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author | Daniel Formolo Tibor Bosse |
author_facet | Daniel Formolo Tibor Bosse |
author_sort | Daniel Formolo |
collection | DOAJ |
description | This work presents a simulation-based training application to enhance people’s ability to express interpersonal stance using their voice. The results show that the application helps people to learn the principles of Leary’s interpersonal stance theory, and distinguish between the eight basic stances. Nevertheless, it remains difficult for people to express them without mixing the categories. Although the increase was small, the training application improved the users performance in expressing interpersonal stance in their voices after three days of training. The results also indicate that one of the main barriers of the learning process is that people need time to incorporate or refine interpersonal stances. |
first_indexed | 2024-12-13T19:12:46Z |
format | Article |
id | doaj.art-a39144088af0448bbea5cb854753ab4c |
institution | Directory Open Access Journal |
issn | 2590-0056 |
language | English |
last_indexed | 2024-12-13T19:12:46Z |
publishDate | 2020-09-01 |
publisher | Elsevier |
record_format | Article |
series | Array |
spelling | doaj.art-a39144088af0448bbea5cb854753ab4c2022-12-21T23:34:22ZengElsevierArray2590-00562020-09-017100032Learning Interpersonal Stance in VoiceDaniel Formolo0Tibor Bosse1Vrije Universiteit, Amsterdam, the Netherlands; Corresponding author.Radboud University Nijmegen, Nijmegen, the NetherlandsThis work presents a simulation-based training application to enhance people’s ability to express interpersonal stance using their voice. The results show that the application helps people to learn the principles of Leary’s interpersonal stance theory, and distinguish between the eight basic stances. Nevertheless, it remains difficult for people to express them without mixing the categories. Although the increase was small, the training application improved the users performance in expressing interpersonal stance in their voices after three days of training. The results also indicate that one of the main barriers of the learning process is that people need time to incorporate or refine interpersonal stances.http://www.sciencedirect.com/science/article/pii/S2590005620300175Interpersonal stancesTrainingSerious gamesClassification algorithm |
spellingShingle | Daniel Formolo Tibor Bosse Learning Interpersonal Stance in Voice Array Interpersonal stances Training Serious games Classification algorithm |
title | Learning Interpersonal Stance in Voice |
title_full | Learning Interpersonal Stance in Voice |
title_fullStr | Learning Interpersonal Stance in Voice |
title_full_unstemmed | Learning Interpersonal Stance in Voice |
title_short | Learning Interpersonal Stance in Voice |
title_sort | learning interpersonal stance in voice |
topic | Interpersonal stances Training Serious games Classification algorithm |
url | http://www.sciencedirect.com/science/article/pii/S2590005620300175 |
work_keys_str_mv | AT danielformolo learninginterpersonalstanceinvoice AT tiborbosse learninginterpersonalstanceinvoice |