A Quality of Experience Evaluation Comparing Augmented Reality and Paper Based Instruction for Complex Task Assistance

Author(s):  
Eoghan Hynes ◽  
Ronan Flynn ◽  
Brian Lee ◽  
Niall Murray
Author(s):  
М.А. МАКОЛКИНА ◽  
А.С. БОРОДИН ◽  
Б.О. ПАНЬКОВ

Рассмотрено применение виртуальных ассистентов при реализации услуг дополненной реальности (ДР). Разработано приложение ДР с виртуальным ассистентом и проведена оценка качества восприятия с помощью субъективных и объективных методов. The article discusses the use of virtual assistants in the implementation of augmented reality services. An augmented reality application with a virtual assistant was developed and the quality of the experience was assessed using subjective and objective methods.


PLoS ONE ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. e0230570 ◽  
Author(s):  
Thiago Braga Rodrigues ◽  
Ciarán Ó Catháin ◽  
Noel E. O’Connor ◽  
Niall Murray

Telecom IT ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 11-21
Author(s):  
M. Makolkina ◽  
A. Koucheryavy

Currently, research is actively being conducted in the field of creating fifth-generation communication networks and 2030 communication networks, in which augmented reality applications play a leading role. Research subject. The article discusses the classification of augmented reality applications depending on the purpose and implementation of the service. Methodology and core results. The article provides a classification and structural comparative analysis of the methods of providing information, object recognition, user interaction. Practical relevance. It consists in the possibility of using the proposed classification in the tasks of the integrated implementation of augmented reality applications on communication networks and the development of a methodology for assessing the quality of experience of augmented reality services.


Author(s):  
Patrick Seeling

Augmented reality (AR) applications become increasingly popular, however, little is known about how multimedia consumption interplays with the Quality of Experience (QoE) in these settings. We experimentally evaluate binocular vision augmentation with optical see-through devices by contrasting QoE, expressed by Mean Opinion Scores (MOS), with a ground truth reference data set. We find that the QoE in AR settings (i) is higher for small media impairments and lower for high impairment levels compared to opaque settings, (ii) exhibits an emerging quantifiable relationship with the QoE in traditional setups, (iii) can be approached with common objective image quality metrics as Quality of Service (QoS) factors, and (iv) exhibits a relationship between the Low Gamma frequency band levels determined with consumer-grade electroencephalograms (EEG) and image quality levels as rated by the participants.


2016 ◽  
Vol 3 (2) ◽  
pp. 39-45
Author(s):  
Suwoong Heo ◽  
Hyewon Song ◽  
Jinwoo Kim ◽  
Anh-Duc Nguyen ◽  
Sanghoon Lee

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