Article
Green & Sustainable Science & Technology
Xiao-Wei Liu, Cheng-Yu Li, Sina Dang, Wei Wang, Jue Qu, Tong Chen, Qing-Li Wang
Summary: The maintenance training method based on VR and AR technology has advantages in improving training effectiveness and cost-saving. However, further research is needed on how to choose training methods for multi-level tasks.
Review
Orthopedics
Shilong Su, Ruideng Wang, Rubing Zhou, Zhengyang Chen, Fang Zhou
Summary: This systematic review and meta-analysis found that XR training in THA has better accuracy of inclination and shorter surgical duration compared to conventional methods, while the accuracy of anteversion is similar. Based on the pooled results, we suggest that XR training can better improve trainees' surgical skills in THA compared to conventional methods.
JOURNAL OF ORTHOPAEDIC SURGERY AND RESEARCH
(2023)
Review
Computer Science, Information Systems
Mohammed A. M. Algerafi, Yueliang Zhou, Mohamed Oubibi, Tommy Tanu Wijaya
Summary: Augmented Reality (AR) and Virtual Reality (VR) have the potential to revolutionize education by offering immersive and interactive learning experiences. This research evaluates the educational applications of AR and VR, emphasizing their impact on student motivation, learning outcomes, engagement, and overall learning experiences.
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
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
Education & Educational Research
Ahm Shamsuzzoha, Rayko Toshev, Viet Vu Tuan, Timo Kankaanpaa, Petri Helo
Summary: The study evaluates the use of VR platforms in industrial training and maintenance within the digital factory. It suggests encouraging the use of VR platforms for training and maintenance of complex industrial tasks, with a focus on building low-cost VR applications. This research demonstrates the application of VR technique in power plant operations and maintenance, with conclusions drawn on research implications and future directions for VR concept in industrial applications.
INTERACTIVE LEARNING ENVIRONMENTS
(2021)
Review
Clinical Neurology
Mitch R. Paro, David S. Hersh, Ketan R. Bulsara
Summary: Virtual reality (VR) and augmented reality (AR) technologies are increasingly being used in neurosurgical education to enhance technical skills and improve understanding of operative anatomy. These simulators have shown to boost trainees' confidence and overall surgical techniques.
WORLD NEUROSURGERY
(2022)
Article
Health Care Sciences & Services
Yahia Baashar, Gamal Alkawsi, Wan Nooraishya Wan Ahmad, Hitham Alhussian, Ayed Alwadain, Luiz Fernando Capretz, Areej Babiker, Adnan Alghail
Summary: This study assessed the effectiveness of augmented reality (AR) in medical student training. The findings showed that AR can effectively improve performance time, satisfaction, and confidence, but has limited effects on knowledge and skills.
JMIR SERIOUS GAMES
(2022)
Article
Green & Sustainable Science & Technology
Wen-Jye Shyr, Chi-Jui Tsai, Chia-Ming Lin, Hung-Ming Liau
Summary: This study introduces and evaluates an augmented reality approach for equipment maintenance and diagnostics, which has shown success in helping engineering and technology graduate students understand concepts and use augmented reality technology.
Review
Engineering, Industrial
Andrea de Giorgio, Fabio Marco Monetti, Antonio Maffei, Mario Romero, Lihui Wang
Summary: This article presents a systematic literature review of XR technologies in manufacturing education, highlighting the importance of bridging the gap between theory and practice. It also provides a comprehensive overview of development tools and experimental strategies, serving as a guide for evaluating XR interventions in manufacturing education and training.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
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
Engineering, Biomedical
Hui Yan, Philippe S. Archambault
Summary: This study found that providing augmented feedback in a virtual reality environment is effective for improving motor learning and transfer of appropriate manual wheelchair propulsion technique. Different feedback delivery schedules have some impact on the outcomes, but the differences are not significant.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Green & Sustainable Science & Technology
Macaria Hernandez-Chavez, Jose M. Cortes-Caballero, Angel A. Perez-Martinez, Luis F. Hernandez-Quintanar, Karen Roa-Tort, Josue D. Rivera-Fernandez, Diego A. Fabila-Bustos
Summary: A Virtual Reality application was developed for students of Automotive Systems Engineering, allowing them to immerse themselves in learning and practicing the main components of a four-stroke combustion engine through Oculus Rift S glasses and Leap Motion Controller infrared sensors.
Review
Engineering, Biomedical
Aya Gaballa, Reidner Santos Cavalcante, Edgard Lamounier, Alcimar Soares, John-John Cabibihan
Summary: The rejection rates of upper-limb prosthetic devices in adults are high, and the use of virtual reality training methods to increase long-term, full-time use has not yet gained widespread traction in the clinical setting.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Behavioral Sciences
Alexandra D. Kaplan, Jessica Cruit, Mica Endsley, Suzanne M. Beers, Ben D. Sawyer, P. A. Hancock
Summary: This meta-analysis explores whether training using virtual, augmented, and mixed reality is as effective as traditional training methods. While extended realities are time-saving and cost-saving, their efficacy as training tools is still debated.
Article
Engineering, Biomedical
Simone Borsci, Ijeoma Uchegbu, Peter Buckle, Zhifang Ni, Simon Walne, George B. Hanna
EXPERT REVIEW OF MEDICAL DEVICES
(2018)
Article
Ophthalmology
Harry W. Roberts, Vijay K. Wagh, Isabella J. M. Mullens, Simone Borsci, Melody Z. Ni, David P. S. O'Brart
BRITISH JOURNAL OF OPHTHALMOLOGY
(2018)
Article
Computer Science, Cybernetics
Simone Borsci, Stefano Federici, Alessio Malizia, Maria Laura De Filippis
BEHAVIOUR & INFORMATION TECHNOLOGY
(2019)
Article
Engineering, Industrial
Simone Borsci, Peter Buckle, Simon Walne
APPLIED ERGONOMICS
(2020)
Article
Engineering, Biomedical
Melody Ni, Simone Borsci, Simon Walne, Anna P. Mclister, Peter Buckle, James G. Barlow, George B. Hanna
EXPERT REVIEW OF MEDICAL DEVICES
(2020)
Article
Respiratory System
Anitha Vijayasingam, Emily Frost, Julie Wilkins, Lise Gillen, Presanna Premachandra, Kate Mclaren, Desmond Gilmartin, Lorenzo Picinali, Alberto Vidal-Diez, Simone Borsci, Melody Zhifang Ni, Wai Y. Tang, Deborah Morris-Rosendahl, Jonny Harcourt, Caroline Elston, N. J. Simmonds, Anand Shah
Article
Medicine, General & Internal
Massimo Micocci, Simone Borsci, Viral Thakerar, Simon Walne, Yasmine Manshadi, Finlay Edridge, Daniel Mullarkey, Peter Buckle, George B. Hanna
Summary: This study shows that GPs' ability to diagnose skin lesions significantly improved when receiving correct AI information, but only a small percentage of them were able to correctly disagree with or disregard erroneous AI diagnostic indications. GPs with domain knowledge in dermatology were found to be better at rejecting incorrect insights from AI systems.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Computer Science, Artificial Intelligence
Simone Borsci, Ville V. Lehtola, Francesco Nex, Michael Ying Yang, Ellen-Wien Augustijn, Leila Bagheriye, Christoph Brune, Ourania Kounadi, Jamy Li, Joao Moreira, Joanne Van der Nagel, Bernard Veldkamp, Duc Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raul Zurita-Milla
Summary: The article reviews the EU Commission's whitepaper on Artificial Intelligence and highlights potential conflicts with current societal, technical, and methodological constraints. The lack of a coherent EU vision and methods to support sustainable AI diffusion are identified as main obstacles. The article recommends complementary rules and compensatory mechanisms to avoid market fragmentation, as well as research to address technical and methodological open questions for the sustainable development of human-AI co-action.
Proceedings Paper
Computer Science, Artificial Intelligence
Stefano Federici, Giovanni Bifolchi, Maria Laura Mele, Marco Bracalenti, Maria Laura De Filippis, Simone Borsci, Giancarlo Gaudino, Massimo Amendola, Antonello Cocco, Emilio Simonetti
Summary: The COVID-19 pandemic has led to the widespread adoption of remote working. A study conducted by the University of Perugia and the Ministry of Economic Development found that working from home can improve job satisfaction and support received.
COMPUTERS HELPING PEOPLE WITH SPECIAL NEEDS, ICCHP-AAATE 2022, PT II
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Stefano Federici, Maria Laura Mele, Marco Bracalenti, Maria Laura De Filippis, Rosa Lanzilotti, Giuseppe Desolda, Simone Borsci, Giancarlo Gaudino, Antonello Cocco, Massimo Amendola, Emilio Simonetti
Summary: This paper presents a chatbot solution for the usability testing platform eGLU-box Pro used by Italian Public Administration. The impact of the chatbot solution on user experience was assessed through bio-behavioral evaluation methods, and the study is part of an ongoing project focusing on user-centered design and development.
HUMAN-COMPUTER INTERACTION: THEORY, METHODS AND TOOLS, HCII 2021, PT I
(2021)
Review
Computer Science, Information Systems
Julie Polisena, Martina Andellini, Piergiorgio Salerno, Simone Borsci, Leandro Pecchia, Ernesto Iadanza
Summary: Health Technology Assessment (HTA) is a multidisciplinary approach used to evaluate medical, social, economic, and ethical issues related to the use of health technologies. Surveillance of social media platforms can provide insights on the effectiveness and safety of health technologies to the clinical community and decision makers. Sentiment analysis of public opinion on health technologies posted on social media can be used to assess the accuracy and automation of these methods.
Review
Rehabilitation
Stefano Federici, Maria Laura de Filippis, Maria Laura Mele, Simone Borsci, Marco Bracalenti, Giancarlo Gaudino, Antonello Cocco, Massimo Amendola, Emilio Simonetti
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Simone Borsci, Peter Buckle, Simon Walne, Davide Salanitri
PROCEEDINGS OF THE 20TH CONGRESS OF THE INTERNATIONAL ERGONOMICS ASSOCIATION (IEA 2018), VOL VII: ERGONOMICS IN DESIGN, DESIGN FOR ALL, ACTIVITY THEORIES FOR WORK ANALYSIS AND DESIGN, AFFECTIVE DESIGN
(2019)
Proceedings Paper
Engineering, Biomedical
S. Borsci, P. Buckle, I. Uchegbu, M. Ni, S. Walne, G. B. Hanna
Article
Ophthalmology
Harry W. Roberts, James Myerscough, Simone Borsci, Melody Ni, David P. S. O'Brart
BRITISH JOURNAL OF OPHTHALMOLOGY
(2018)
Article
Computer Science, Interdisciplinary Applications
Francesco Pistolesi, Michele Baldassini, Beatrice Lazzerini
Summary: More than one in four workers worldwide suffer from back pain, resulting in the loss of 264 million work days annually. In the U.S., it costs $50 billion in healthcare expenses each year, rising up to $100 billion when accounting for decreased productivity and lost wages. The impending Industry 5.0 revolution emphasizes worker well-being and their rights, such as privacy, autonomy, and human dignity. This paper proposes a privacy-preserving artificial intelligence system that monitors the posture of assembly line workers. The system accurately assesses upper-body and lower-body postures while respecting privacy, enabling the detection of harmful posture habits and reducing the likelihood of musculoskeletal disorders.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Xavier Boucher, Camilo Murillo Coba, Damien Lamy
Summary: This paper explores the new business strategies of digital servitization and smart PSS delivery, and develops conceptual prototypes of smart PSS value offers for early stages of the design process. It presents the development and experimentation of a modelling language and toolkit, and applies it to the design of a smart PSS in the field of heating appliances.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Dieudonne Tchuente, Jerry Lonlac, Bernard Kamsu-Foguem
Summary: Artificial Intelligence (AI) is becoming increasingly important in various sectors of society. However, the black box nature of most AI techniques such as Machine Learning (ML) hinders their practical application. This has led to the emergence of Explainable artificial intelligence (XAI), which aims to provide AI-based decision-making processes and outcomes that are easily understood, interpreted, and justified by humans. While there has been a significant amount of research on XAI, there is currently a lack of studies on its practical applications. To address this research gap, this article proposes a comprehensive review of the business applications of XAI and a six-step framework to improve its implementation and adoption by practitioners.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Francois-Alexandre Tremblay, Audrey Durand, Michael Morin, Philippe Marier, Jonathan Gaudreault
Summary: Continuous high-frequency wood drying, integrated with a traditional wood finishing line, improves the value of lumber by correcting moisture content piece by piece. Using reinforcement learning for continuous drying operation policies outperforms current industry methods and remains robust to sudden disturbances.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Luyao Xia, Jianfeng Lu, Yuqian Lu, Wentao Gao, Yuhang Fan, Yuhao Xu, Hao Zhang
Summary: Efficient assembly sequence planning is crucial for enhancing production efficiency, ensuring product quality, and meeting market demands. This study proposes a dynamic graph learning algorithm called assembly-oriented graph attention sequence (A-GASeq), which optimizes the assembly graph structure to guide the search for optimal assembly sequences. The algorithm demonstrates superiority and broad utility in real-world scenarios.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Mutahar Safdar, Padma Polash Paul, Guy Lamouche, Gentry Wood, Max Zimmermann, Florian Hannesen, Christophe Bescond, Priti Wanjara, Yaoyao Fiona Zhao
Summary: Metal-based additive manufacturing can achieve fully dense metallic components, and the application of machine learning in this field has been growing rapidly. However, there is a lack of framework to manage these machine learning models and guidance on the fundamental requirements for a cross-disciplinary platform to support process-based machine learning models in industrial metal AM.
COMPUTERS IN INDUSTRY
(2024)