Review
Business
Nirma Sadamali Jayawardena, Park Thaichon, Sara Quach, Ali Razzaq, Abhishek Behl
Summary: Using the social psychology theory of elaboration likelihood model (ELM), this paper presents a conceptual model of persuading consumer attitudes through virtual and augmented reality advertisements. A systematic literature review was conducted to assess the theoretical and empirical papers that utilize ELM for virtual reality and augmented reality advertisements. The study identified six research prepositions and proposed a detailed future research agenda to examine consumer attitudes through these advertisements.
JOURNAL OF BUSINESS RESEARCH
(2023)
Review
Chemistry, Analytical
Toqeer Ali Syed, Muhammad Shoaib Siddiqui, Hurria Binte Abdullah, Salman Jan, Abdallah Namoun, Ali Alzahrani, Adnan Nadeem, Ahmad B. Alkhodre
Summary: Augmented reality has become widely popular and accepted in recent years. It combines immersive experiences and solutions to create an adaptive solution for various industries. However, there is a lack of security solutions in collaborative augmented reality, particularly in distributed trust management.
Review
Computer Science, Interdisciplinary Applications
Shaveta Dargan, Shally Bansal, Munish Kumar, Ajay Mittal, Krishan Kumar
Summary: Augmented Reality (AR) is a technology that modifies the perception of real-world images by overlaying digital data on them. It has diverse applications in various fields and is distinct from virtual reality.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Jongsik Yu, Seongseop (Sam) Kim, Tadesse Bekele Hailu, Junghyun Park, Heesup Han
Summary: This study examined the use of virtual reality (VR) and augmented reality (AR) virtual tourism to address issues in the senior tourism market. The researchers investigated the characteristics of VR and AR in revitalizing senior tourism and their impact on older adults' experience, perceived advantage, enjoyment, and reuse intention. Mixed methods were used to develop four attributes of VR and AR for senior tourism and analyze their effects on emotional and behavioral responses of older adults. The findings revealed significant relationships between the variables, providing useful insights for using VR and AR to effectively activate senior tourism.
CURRENT ISSUES IN TOURISM
(2023)
Article
Chemistry, Multidisciplinary
Kaixuan Wang, Lim Wei Yap, Shu Gong, Ren Wang, Stephen Jia Wang, Wenlong Cheng
Summary: As augmented reality (AR) and virtual reality (VR) technology become commercially available, there is potential for skin sensory interface to serve as the next-generation AR/VR technology. Nanowire-based soft wearable HMI sensors and other emerging technologies like soft contact lenses, haptic force actuators, and feedback mechanisms offer a more comfortable and immersive experience for future AR/VR systems.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Green & Sustainable Science & Technology
Alejandra Ospina-Bohorquez, Sara Rodriguez-Gonzalez, Diego Vergara-Rodriguez
Summary: The integration of multi-agent systems and virtual reality applications has led to the development of realistic and interactive applications. This systematic mapping study analyzed the latest progress in VR applications using multi-agent systems, revealing future research directions through screening, classification, and review of papers.
Review
Chemistry, Multidisciplinary
Su Liu, Kitming Ma, Bao Yang, Heng Li, Xiaoming Tao
Summary: This paper provides a systematic review of interactive devices, fabrication technologies, system integration, promising applications, and challenges involved in textile-based VR/AR systems.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Ye-Joon Jo, Jun-Seok Choi, Jin Kim, Hyo-Joon Kim, Seong-Yong Moon
Summary: VR and AR technologies have been developed to aid operators in surgical procedures, with VR simulation providing accurate manipulation and immersiveness, and AR navigation displaying real-time augmented 3D models of patients. The average difference between preplanned data and post-operative results was 3.00 mm, with VR simulation offering advantages in 3D medical simulations, and AR navigation showing potential in medical applications without the need for complex 3D simulations or printed surgical guides.
APPLIED SCIENCES-BASEL
(2021)
Review
Chemistry, Multidisciplinary
Hedan Bai, Shuo Li, Robert F. Shepherd
Summary: The article explores the development and challenges of virtual and augmented reality technologies, particularly in the field of haptics. It suggests that soft robotics may offer potential solutions to overcome the difficulties in developing soft haptic output and input devices.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Computer Science, Artificial Intelligence
Xinping Hu, Yang Miang Goh, Alexander Lin
Summary: This study evaluated the effectiveness of Augmented Reality (AR) in improving learning outcomes for undergraduate non-engineering students. The development and testing of an AR application called Virtual and Augmented Reality for Structures (VARS) showed a significant improvement in posttest quiz scores for the experimental group. A conceptual framework was created linking design considerations like authentic context and user interface to the achievement of learning outcomes. Experience with AR and background knowledge were not found to influence perceived achievement of learning outcomes or changes in quiz scores.
ADVANCED ENGINEERING INFORMATICS
(2021)
Review
Computer Science, Software Engineering
Jamie Cross, Christine Boag-Hodgson, Tim Ryley, Timothy J. Mavin, Leigh Ellen Potter
Summary: This paper presents a systematic quantitative literature review on the use of extended reality in flight simulators, finding that it is being introduced in the commercial and military aviation sectors. However, hardware constraints have hindered the ability to provide positive empirical evidence of simulator effectiveness.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Review
Chemistry, Multidisciplinary
Kaushik Parida, Hyunwoo Bark, Pooi See Lee
Summary: In the rapidly advancing field of augmented reality/virtual reality, thermal technology plays a crucial role in enhancing realism and user experience, allowing for improved object recognition and discrimination through thermal stimulation or sensing.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Business
Tseng-Lung Huang, Rodoula H. Tsiotsou, Ben S. Liu
Summary: Consumers in a good mood seek positive experiences to maintain a good mood. In contactless digital service journeys, such as augmented reality (AR) mirror, maintaining consumers' positive mood throughout the purchase decision process is a highly desired outcome.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Review
Chemistry, Multidisciplinary
Tae-Heon Yang, Jin Ryong Kim, Hanbit Jin, Hyunjae Gil, Jeong-Hoi Koo, Hye Jin Kim
Summary: Tele-haptics technology is emerging as a future of the VR/AR industry, enabling human-to-human interactions beyond traditional VR/AR interactions. Active materials play a significant role in haptic innovations, addressing the needs and challenges for current and future VR/AR technologies.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Computer Science, Software Engineering
Graham Wilson, Mark McGill, Daniel Medeiros, Stephen Brewster
Summary: This paper investigates how existing techniques can be used to solve the problem of using virtual reality headsets in transportation. Through a user study, it is found that Linear Gain technique is the most effective and provides eight guidelines for future research.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Editorial Material
Computer Science, Information Systems
Hiram Ponce, Lourdes Martinez-Villasenor, Gregory O'Hare, Jose Roberto Ayala-Solares
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
(2021)
Article
Environmental Sciences
Laura Sala-Comorera, Liam J. Reynolds, Niamh A. Martin, Miriam Pascual-Benito, Jayne H. Stephens, Tristan M. Nolan, Aurora Gitto, Gregory M. P. O'Hare, John J. O'Sullivan, Cristina Garcia-Aljaro, Wim G. Meijer
Summary: This study evaluated the performance of the crAssphage marker in designated bathing waters, showing that samples impacted by human pollution tested positive while animal samples did not. Analysis indicated that human fecal contamination is homogenously distributed, while gull pollution is localized in urban marine bathing waters.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Geochemistry & Geophysics
Barry McNicholl, Yee Hui Lee, Abraham G. Campbell, Soumyabrata Dev
Summary: This letter investigates the reliability of European Remote Sensing 5 (ERA5) satellite-based air temperature data. By comparing with land-based data, it is found that the satellite temperature performs better in temperate regions than in tropical regions, indicating the impact of time of year and climate region on the accuracy of satellite data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Automation & Control Systems
Donglei Lu, Yundong Sun, Qinrui Dai, Xiaofang Li, Dongjie Zhu, Haiwen Du, Yansong Wang, Rongning Qu, Ning Cao, Gregory M. P. O'Hare
Summary: This paper presents a new KG alignment network called MSM, which tackles the challenge of structural heterogeneity in knowledge graphs by utilizing a multi-neighborhood network representation learning method and a unique sampling and cosine cross-matching approach.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
John Byabazaire, Gregory M. P. O'Hare, Declan T. Delaney
Summary: This article presents a trust-based framework for real-time data quality assessment in IoT. By allowing parameterization, the trust metric can be tailored to meet specific requirements. The experiment shows a strong correlation between the trust metric and well-understood metrics like RMSE and MAE, indicating that trust can serve as an indicative quality metric for data quality.
IEEE SENSORS JOURNAL
(2022)
Article
Meteorology & Atmospheric Sciences
Levent Gorgu, Daniel Hawtree, Michael J. O'Grady, Conor Muldoon, Bartholomew Masterson, Wim G. Meijer, John J. O'Sullivan, Gregory M. P. O'Hare
Summary: Historical meteorological datasets are crucial for climate modeling and weather forecasting. GRIB, the widely-used data format, is not analysis-ready without preprocessing. The MeRA Data Extractor toolkit, introduced in this article, allows intuitive and fast extraction and preprocessing of data from the MeRA dataset, which is a high-resolution climatic reanalysis of Irish weather data. This open-source toolkit is especially valuable for climate modeling research in Europe.
METEOROLOGICAL APPLICATIONS
(2023)
Article
Engineering, Marine
Guanghai Gao, John J. O'Sullivan, Aisling Corkery, Zeinab Bedri, Gregory M. P. O'Hare, Wim G. Meijer
Summary: This paper evaluates the impact of water exchange processes on pollution persistence in a macro-tidal semi-closed coastal bay through two transport time scales and highlights the risks associated with pollutants leaving and re-entering the bay on incoming tides. The results indicate that river inputs have a potentially greater impact on water quality on the northern side of the bay.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Review
Business
Rosemary J. Thomas, Gregory O'Hare, David Coyle
Summary: Smart agriculture enables the analysis of agricultural data on a large scale, leading to improved productivity and sustainability. However, achieving this potential requires understanding the factors that affect technology acceptance in smart agriculture, which is complex and often poorly understood.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Chemistry, Analytical
John Byabazaire, Gregory M. P. O'Hare, Rem Collier, Declan Delaney
Summary: Timely data quality assessment is crucial for the development of IoT-based applications, but it poses a challenge due to varying data quality requirements for different applications. This paper proposes a novel approach that integrates fusion methods into end-to-end data quality assessment to address this challenge and cater to diverse data quality needs within a single data pipeline.
Article
Agronomy
John Byabazaire, Gregory M. P. O'Hare, Rem Collier, Chamil Kulatunga, Declan Delaney
Summary: Smart agriculture heavily relies on accurate yield maps for decision-making. However, spatial errors in many yield maps can compromise data quality, and detecting voids remains a challenge. This paper introduces a novel algorithm to identify voids and maps different spatial errors to data quality dimensions. The algorithm achieves high accuracy in identifying yield maps with voids and reduces root mean squared errors after applying a data pre-processing chain. The proposed quality score shows an inverse correlation with root mean squared error, indicating its effectiveness in assessing the quality of yield datasets.
Article
Computer Science, Artificial Intelligence
Muhammad Zahid Iqbal, Eleni Mangina, Abraham G. Campbell
Summary: The progression and adoption of innovative learning methodologies indicate that society is open to new technologies and ideas. The latest innovation in teaching is the use of Augmented Reality (AR). The COVID-19 pandemic has led to a shift towards blended learning, personalized learning spaces, and user-centered approaches with safety measures. This paper reviews current literature, investigates challenges, identifies future research areas, and presents the development of two case studies.
MULTIMODAL TECHNOLOGIES AND INTERACTION
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Mengya Zheng, Xingyu Pan, Nestor Velasco Bermeo, Rosemary J. Thomas, David Coyle, Gregory M. P. O'Hare, Abraham G. Campbell
Summary: This paper introduces a decision support framework (STARE) for immediate decision-making in a smart environment using augmented reality technology. The framework visualizes IoT data and suggestions by binding them to the user's focal objects, addressing individual information needs in real-time decision-making.
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Mengya Zheng, Nestor Velasco Bermeo, Abraham G. Campbell
Summary: This paper presents an Augmented Reality tool for in-field observation that enables agronomists to annotate and record issues in underperforming areas, which are then synchronized in a Web-based mapping tool for precision farming decision-making.
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022)
(2022)
Article
Computer Science, Information Systems
Mengya Zheng, Xingyu Pan, Nestor Velasco Bermeo, Rosemary J. Thomas, David Coyle, Gregory M. P. O'hare, Abraham G. Campbell
Summary: This paper proposes a novel AR decision support framework called STARE, which augments the user's focal objects with semantically relevant IoT data and suggestions to support immediate decision-making within a smart environment. A remote user study conducted in a simulated smart home environment demonstrates that the framework reduces information overloading and improves IoT data interpretation and decision support effectiveness.
