TY - GEN
T1 - Voices Unveiled
T2 - 16th International Conference on Quality of Multimedia Experience, QoMEX 2024
AU - Moharana, Bhagyabati
AU - Keighrey, Conor
AU - Murray, Niall
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In order to understand the sentiments between users as they worked together as part of a collaborative Virtual Reality (VR) task, this research analyzed voice interaction using Assembly AI. The real-time conversations between 11 pairs of users were captured as they performed a joint puzzle task. The users were in separate physical spaces but connected in a shared virtual setting. The extracted voice sentiments were correlated with self-reported frustration levels and task completion times. The findings reveal a significant positive correlation between negative sentiments and frustration (r=0.73, p≤0.05) and a negative correlation between positive sentiments and task completion time (r=-0.87, p≤0.001). This shows the relationship between sentiment (positive and negative) and task completion in collaborative VR. These results highlight the potential benefits of analyzing voice sentiment in collaborative VR applications.
AB - In order to understand the sentiments between users as they worked together as part of a collaborative Virtual Reality (VR) task, this research analyzed voice interaction using Assembly AI. The real-time conversations between 11 pairs of users were captured as they performed a joint puzzle task. The users were in separate physical spaces but connected in a shared virtual setting. The extracted voice sentiments were correlated with self-reported frustration levels and task completion times. The findings reveal a significant positive correlation between negative sentiments and frustration (r=0.73, p≤0.05) and a negative correlation between positive sentiments and task completion time (r=-0.87, p≤0.001). This shows the relationship between sentiment (positive and negative) and task completion in collaborative VR. These results highlight the potential benefits of analyzing voice sentiment in collaborative VR applications.
KW - Head-mounted display (HMD)
KW - Quality of Experience (QoE)
KW - Sentiment Analysis
KW - Virtual Reality (VR)
UR - http://www.scopus.com/inward/record.url?scp=85201061999&partnerID=8YFLogxK
U2 - 10.1109/QoMEX61742.2024.10598261
DO - 10.1109/QoMEX61742.2024.10598261
M3 - Conference contribution
AN - SCOPUS:85201061999
T3 - 2024 16th International Conference on Quality of Multimedia Experience, QoMEX 2024
SP - 15
EP - 21
BT - 2024 16th International Conference on Quality of Multimedia Experience, QoMEX 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 June 2024 through 20 June 2024
ER -