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Analysis of the quality of remote working experience: a speech-based approach
The current pandemic situation has led to an extraordinary increase in remote working activities all over the world. In this paper, we conducted a research study with the aim to investigate the Quality of Remote Working Experience (QRWE) of workers when conducting remote working activities and to an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965550/ https://www.ncbi.nlm.nih.gov/pubmed/35372667 http://dx.doi.org/10.1007/s41233-022-00049-w |
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author | Porcu, Simone Floris, Alessandro Atzori, Luigi |
author_facet | Porcu, Simone Floris, Alessandro Atzori, Luigi |
author_sort | Porcu, Simone |
collection | PubMed |
description | The current pandemic situation has led to an extraordinary increase in remote working activities all over the world. In this paper, we conducted a research study with the aim to investigate the Quality of Remote Working Experience (QRWE) of workers when conducting remote working activities and to analyse its correlation with implicit emotion responses estimated from the speech of video-calls or discussions with people in the same room. We implemented a system that captures the audio when the worker is talking and extracts and stores several speech features. A subjective assessment has been conducted, using this tool, which involved 12 people that were asked to provide feedback on the QRWE and assess their sentiment polarity during their daily remote working hours. ANOVA results suggest that speech features may be potentially observed to infer the QRWE and the sentiment polarity of the speaker. Indeed, we have also found that the perceived QRWE and polarity are strongly related. |
format | Online Article Text |
id | pubmed-8965550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-89655502022-03-30 Analysis of the quality of remote working experience: a speech-based approach Porcu, Simone Floris, Alessandro Atzori, Luigi Qual User Exp Research Article The current pandemic situation has led to an extraordinary increase in remote working activities all over the world. In this paper, we conducted a research study with the aim to investigate the Quality of Remote Working Experience (QRWE) of workers when conducting remote working activities and to analyse its correlation with implicit emotion responses estimated from the speech of video-calls or discussions with people in the same room. We implemented a system that captures the audio when the worker is talking and extracts and stores several speech features. A subjective assessment has been conducted, using this tool, which involved 12 people that were asked to provide feedback on the QRWE and assess their sentiment polarity during their daily remote working hours. ANOVA results suggest that speech features may be potentially observed to infer the QRWE and the sentiment polarity of the speaker. Indeed, we have also found that the perceived QRWE and polarity are strongly related. Springer International Publishing 2022-03-30 2022 /pmc/articles/PMC8965550/ /pubmed/35372667 http://dx.doi.org/10.1007/s41233-022-00049-w Text en © The Author(s) 2022, , corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Porcu, Simone Floris, Alessandro Atzori, Luigi Analysis of the quality of remote working experience: a speech-based approach |
title | Analysis of the quality of remote working experience: a speech-based approach |
title_full | Analysis of the quality of remote working experience: a speech-based approach |
title_fullStr | Analysis of the quality of remote working experience: a speech-based approach |
title_full_unstemmed | Analysis of the quality of remote working experience: a speech-based approach |
title_short | Analysis of the quality of remote working experience: a speech-based approach |
title_sort | analysis of the quality of remote working experience: a speech-based approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965550/ https://www.ncbi.nlm.nih.gov/pubmed/35372667 http://dx.doi.org/10.1007/s41233-022-00049-w |
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