A Physiology-Based QoE Comparison of Interactive Augmented Reality, Virtual Reality and Tablet-Based Applications

被引:38
作者
Keighrey, Conor [1 ]
Flynn, Ronan [1 ]
Murray, Siobhan [2 ]
Murray, Niall [1 ]
机构
[1] Athlone Inst Technol, Athlone N37 HD68, Ireland
[2] Primary Care Ctr, Hlth Serv Execut, Longford N39 C650, Ireland
关键词
Quality of experience; Semantics; Multimedia systems; Augmented reality; Biomedical monitoring; augmented reality; virtual reality; physiological; speech language pathology; aphasia; QUALITY; VIDEO; STRESS;
D O I
10.1109/TMM.2020.2982046
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The availability of affordable head-mounted display technology has facilitated new, potentially more immersive, interactive multimedia experiences. These technologies were traditionally focused on entertainment; however, academia and industry are now exploring applications in other domains such as health, learning and training. Key to the success of these new multimedia experiences is the understanding of a user's perceived quality of experience (QoE). Subjective user ratings have been the primary mechanism to capture insights into a user's experience. Such ratings have generally been captured post experience and reflected using a mean opinion score (MOS). However, user perception is multifactorial and subjective ratings alone do not express the true measure of an experience. As a result, recent efforts to capture QoE have included exploring the use of implicit metrics (e.g., physiological measures). This article presents the results of an experimental QoE evaluation and comparison of immersive applications delivered across three multimedia platforms. The platforms compared were augmented reality, tablet and virtual reality. The QoE methodology employed considered explicit (post-test questionnaire) and implicit (heart rate and electrodermal activity) assessment methods. The results indicate comparatively higher levels of QoE for users of the augmented reality and tablet platforms.
引用
收藏
页码:333 / 341
页数:9
相关论文
共 35 条
[1]  
Al Qassem LMMS, 2016, IEEE GLOB ENG EDUC C, P842, DOI 10.1109/EDUCON.2016.7474650
[2]  
[Anonymous], 2010, P 5 ACM SIGGRAPH S V
[3]  
[Anonymous], HOM PIP STRESS MAN D
[4]  
[Anonymous], P913 ITUT
[5]  
Boucsein W, 2012, ELECTRODERMAL ACTIVITY, SECOND EDITION, P1, DOI 10.1007/978-1-4614-1126-0
[6]   PROGRAMMING COMPLEX PSYCHOPHYSIOLOGIC EXPERIMENTS WITH PUNCHED PAPER TAPE - A METHODOLOGICAL APPROACH [J].
BROWN, CC ;
KRAUSMAN, D .
PSYCHOPHYSIOLOGY, 1967, 4 (02) :249-&
[7]  
Chen F, 2016, HUM-COMPUT INT-SPRIN, P185, DOI 10.1007/978-3-319-31700-7_12
[8]  
Committee on Vision Assembly of Behavioral and Social Sciences Na- tional Research Council, 1981, PROC TEST COL VIS RE
[9]   QoE Analysis of Dense Multiview Video With Head-Mounted Devices [J].
Cubelos, Javier ;
Carballeira, Pablo ;
Gutierrez, Jesus ;
Garcia, Narciso .
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 22 (01) :69-81
[10]   Psychophysiology-Based QoE Assessment: A Survey [J].
Engelke, Ulrich ;
Darcy, Daniel P. ;
Mulliken, Grant H. ;
Bosse, Sebastian ;
Martini, Maria G. ;
Arndt, Sebastian ;
Antons, Jan-Niklas ;
Chan, Kit Yan ;
Ramzan, Naeem ;
Brunnstrom, Kjell .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2017, 11 (01) :6-21