TY - GEN
T1 - Comparing user QoE via physiological and interaction measurements of immersive AR and VR speech and language therapy applications
AU - Keighrey, Conor
AU - Flynn, Ronan
AU - Murray, Siobhan
AU - Brennan, Sean
AU - Murray, Niall
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - Virtual reality (VR)1and augmented reality (AR) applications are gaining significant attention in industry and academia as potential avenues to support truly immersive and interactive multimedia experiences. Understanding the user perceived quality of immersive multimedia experiences is critical to the success of these technologies. However, this is a multidimensional and multifactorial problem. The user quality of experience (QoE) is influenced by human, context and system factors. Attempts to understand QoE via multimedia quality assessment has typically involved users reporting their experiences via post-test questionnaires. More recently, efforts have been made to automatically collect objective metrics that can quantitatively reflect user QoE in terms of physiological measurement methods. In this context, this paper presents a novel comparison of objective quality measures of immersive AR and VR applications through physiological (electrodermal activity (EDA) and heart rate (HR)); and interaction (response times (RT), incorrect responses, and miss-click) metrics. The analysis shows consistency in terms of physiological ratings and miss-click metrics between the AR and VR groups. Interestingly, the AR group reported lower response times and less incorrect responses compared to the VR group. The difference between the AR and VR groups was statistically significant for the incorrect response metric and in 45.5% of the cases tested for response times metric, they were statistically significant with 95% confidence levels.
AB - Virtual reality (VR)1and augmented reality (AR) applications are gaining significant attention in industry and academia as potential avenues to support truly immersive and interactive multimedia experiences. Understanding the user perceived quality of immersive multimedia experiences is critical to the success of these technologies. However, this is a multidimensional and multifactorial problem. The user quality of experience (QoE) is influenced by human, context and system factors. Attempts to understand QoE via multimedia quality assessment has typically involved users reporting their experiences via post-test questionnaires. More recently, efforts have been made to automatically collect objective metrics that can quantitatively reflect user QoE in terms of physiological measurement methods. In this context, this paper presents a novel comparison of objective quality measures of immersive AR and VR applications through physiological (electrodermal activity (EDA) and heart rate (HR)); and interaction (response times (RT), incorrect responses, and miss-click) metrics. The analysis shows consistency in terms of physiological ratings and miss-click metrics between the AR and VR groups. Interestingly, the AR group reported lower response times and less incorrect responses compared to the VR group. The difference between the AR and VR groups was statistically significant for the incorrect response metric and in 45.5% of the cases tested for response times metric, they were statistically significant with 95% confidence levels.
KW - Augmented Reality
KW - Multimedia
KW - Perception
KW - Physiological
KW - Semantic Memory
KW - Speech Language Therapy
KW - Virtual Reality
UR - http://www.scopus.com/inward/record.url?scp=85034812371&partnerID=8YFLogxK
U2 - 10.1145/3126686.3126747
DO - 10.1145/3126686.3126747
M3 - Conference contribution
AN - SCOPUS:85034812371
T3 - Thematic Workshops 2017 - Proceedings of the Thematic Workshops of ACM Multimedia 2017, co-located with MM 2017
SP - 485
EP - 492
BT - Thematic Workshops 2017 - Proceedings of the Thematic Workshops of ACM Multimedia 2017, co-located with MM 2017
PB - Association for Computing Machinery, Inc
T2 - 1st International ACM Thematic Workshops, Thematic Workshops 2017
Y2 - 23 October 2017 through 27 October 2017
ER -