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...

Full description

Bibliographic Details
Main Authors: Daniel Formolo, Tibor Bosse
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Array
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005620300175
_version_ 1818353641781723136
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