I’ve Got a Feeling: Sentiment analysis for collaborative performance in VR

Sentiment analysis is a common method for evaluating the meaning of text. While commonplace, the application of sentiment analysis for assessing collaborative teamwork is limited. We present an exploratory study of sentiment analysis as a useful companion to established metrics of user collaboration in VR. We present results of paired users (N=14, Npairs = 7) completing a VR brainstorming task, and sentiment analysis on their conversation. We report on how the sentiment process maps to the Team Workload Questionnaire (TWLQ) and illustrate how this could be a valuable metric for supporting an enriched evaluation of collaborative VR.

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Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00339
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

I’ve Got a Feeling: Sentiment analysis for collaborative performance in VR

Ian Williams, Maite Frutos-Pascual, Bibek Khattri, Paweenuch Chantratita
Virtual Reality Applications and Impacts
article

I’ve Got a Feeling: Sentiment analysis for collaborative performance in VR

Ian Williams, Maite Frutos-Pascual, Bibek Khattri, Paweenuch Chantratita
article en

Abstract

Sentiment analysis is a common method for evaluating the meaning of text. While commonplace, the application of sentiment analysis for assessing collaborative teamwork is limited. We present an exploratory study of sentiment analysis as a useful companion to established metrics of user collaboration in VR. We present results of paired users (N=14, Npairs = 7) completing a VR brainstorming task, and sentiment analysis on their conversation. We report on how the sentiment process maps to the Team Workload Questionnaire (TWLQ) and illustrate how this could be a valuable metric for supporting an enriched evaluation of collaborative VR.

Birmingham City University (GB)
Openalex Percentile: Top 93%
Virtual Reality Applications and Impacts
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