Analysis of the quality of remote working experience: a speech-based approach

Simone Porcu; Alessandro Floris; Luigi Atzori

doi:10.1007/s41233-022-00049-w

Analysis of the quality of remote working experience: a speech-based approach

Qual User Exp. 2022;7(1):2. doi: 10.1007/s41233-022-00049-w. Epub 2022 Mar 30.

Authors

Simone Porcu^{1

2}, Alessandro Floris^{1

2}, Luigi Atzori^{1

2}

Affiliations

¹ Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, Cagliari, 09123 Italy.
² CNIT, University of Cagliari, Piazza d'Armi, Cagliari, 09123 Italy.

Abstract

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.

Keywords: ANOVA; Quality of experience; Remote working; Speech analysis; Voice over IP.