Article
Engineering, Industrial
Jan Mertes, Daniel Lindenschmitt, Masoud Amirrezai, Nima Tashakor, Moritz Glatt, Christian Schellenberger, Swati Matwankar Shah, Ali Karnoub, Christopher Hobelsberger, Li Yi, Stefan Goetz, Jan C. Aurich, Hans D. Schotten
Summary: Human Cyber-Physical Production Systems (HCPS) is an extension of Cyber-Physical Production Systems (CPPS) that focuses on integrating humans and anthropogenic behavior into manufacturing systems. With the shift towards customized products, HCPS require highly reconfigurable and flexible manufacturing processes, creating the need for new scalable and modular human-machine interfaces (HMI) that are also mobile. 5G communication standard enables wireless migration of computational resources and plays a significant role in ensuring the high mobility of HMIs in HCPS.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Chemistry, Medicinal
Tiago Alves de Oliveira, Lucas Rolim Medaglia, Eduardo Habib Bechelane Maia, Leticia Cristina Assis, Paulo Batista de Carvalho, Alisson Marques da Silva, Alex Gutterres Taranto
Summary: This study evaluated different docking methodologies to analyze the interactions between nucleic acids and DNA intercalating agents. A machine learning model was used to estimate the experimental Delta T-m value. The results showed that MolAr is an effective docking method and can be used to estimate the experimental values of DNA intercalating agents.
Review
Chemistry, Multidisciplinary
Hongwei Niu, Cees Van Leeuwen, Jia Hao, Guoxin Wang, Thomas Lachmann
Summary: This study reviews the literature of multimodal HCI for CAD, summarizing the state-of-the-art research and establishing a foundation for future studies. The requirements for natural HCIs in CAD are explored and categorized, and paradigms for their implementation are discussed. Factors to evaluate the system performance and user experience of a natural HCI are summarized and analyzed.
APPLIED SCIENCES-BASEL
(2022)
Review
Chemistry, Multidisciplinary
Pedro Lopes, Eduardo Silva, Cristiana Braga, Tiago Oliveira, Luis Rosado
Summary: The lack of transparency in powerful Machine Learning systems has led to the emergence of the XAI field. Researchers focus on developing explanation techniques to better understand the system's reasoning for a particular output. This paper presents a survey of Human-centred and Computer-centred methods to evaluate XAI systems, and proposes a new taxonomy for clearer categorization of these evaluation methods.
APPLIED SCIENCES-BASEL
(2022)
Review
Chemistry, Multidisciplinary
Huashuo Liu, Fei Wang, Dan Zhang
Summary: The central role of robotic agents in daily life necessitates effective human-robot interaction (HRI). Understanding the potential effects of robotic agents on human performance is crucial for optimizing interaction design. This review breaks down the complex effects of robotic agents on interacting humans based on human-human interaction findings, focusing on physical presence, motor actions, and task co-representation in HRI. Future directions for each effect are advised, and the use of neural correlates for real-time evaluation and optimization of HRI with EEG-based BCI is proposed.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Mindaugas Vasiljevas, Robertas Damasevicius, Rytis Maskeliunas
Summary: Eye gaze interfaces enable users to control graphical user interfaces simply by looking at them, but using these interfaces can be demanding and lead to fatigue. To address these challenges, the authors propose a model based on biofeedback that allows for effective and sustainable control of computer interfaces using physiological signals. Experimental findings show that the proposed model effectively describes and explains performance dynamics during gaze control tasks, including subject variability, fatigue, and recovery.
Review
Chemistry, Analytical
Chama Belkhiria, Atlal Boudir, Christophe Hurter, Vsevolod Peysakhovich
Summary: Electro-oculography-based brain-computer interface is a relevant technology that has influences in various fields. It records activities related to users' intention, perception, and motor decisions, and converts them into commands for external hardware control. In the aeronautics field, it is explored as a tool to replace manual commands and accelerate user intention.
Article
Neurosciences
Daniel B. Rubin, Tommy Hosman, Jessica N. Kelemen, Anastasia Kapitonava, Francis R. Willett, Brian F. Coughlin, Eric Halgren, Eyal Y. Kimchi, Ziv M. Williams, John D. Simeral, Leigh R. Hochberg, Sydney S. Cash
Summary: Replay of motor cortex neural activity may occur during sleep following motor learning in humans.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Computer Science, Cybernetics
Haifeng Bao, Weining Fang, Beiyuan Guo, Hanzhao Qiu
Summary: The rapid development of computer information technology has increased the complexity of the human-computer interface in supervision tasks. A novel adaptive human-computer interface is designed using the Adaptive Interface Design (AID) framework. Comparative experiments are conducted to test the performance of users in the designed adaptive interface and traditional interface, and the results show that the adaptive interface effectively improves supervisors' performance and reduces system failure risk.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Priyam Kar, Jupitara Hazarika
Summary: In this study, the effectiveness of contemporary affect representation methodologies for establishing reliable affective BCI systems was assessed. Two experiments were conducted on the DEAP dataset to compare observed emotion clusters based on subjective ratings with the clustering of corresponding physiological responses based on EEG characteristics. The findings suggest that subjective emotion categories may not be suitable as concrete representations of a person's affective state for supervised approaches.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Information Systems
Sandeep Gupta, Gregory Epiphaniou, Carsten Maple
Summary: Research in ICT has shown that usability is important for cyber-physical human systems, and integrating AI technology with existing evaluation methods can lead to more effective user-centered designs.
INTERNET OF THINGS
(2023)
Article
Materials Science, Multidisciplinary
Mariana G. M. de Carvalho, Marcella Araujo Lage, Daniela de Figueiredo Cavalcante, Kioshy Santos de Assis, Andre Luiz Pinto, Cilene Labre, Fabio P. Alves, Oscar Rosa Mattos
Summary: The resistance of dissimilar joints to hydrogen was evaluated using fracture toughness and slow strain rate tests. The study found that the susceptibility to hydrogen embrittlement is directly linked to the fraction of discontinuous regions along the dissimilar interface.
Article
Engineering, Biomedical
Guangye Li, Shize Jiang, Sivylla E. Paraskevopoulou, Guohong Chai, Zixuan Wei, Shengjie Liu, Meng Wang, Yang Xu, Zhen Fan, Zehan Wu, Liang Chen, Dingguo Zhang, Xiangyang Zhu
Summary: White matter presents activation under visually-cued motor tasks, similar to gray matter but at a lower amplitude. Combining white matter neural activities with gray matter significantly improves movement decoding accuracy.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Zhengdong Zhou, Lingwei Zhang, Shisong Wei, Xuling Zhang, Mao Ling
Summary: This study developed a system based on brain-computer interface and virtual reality flight simulator. Through quantitative evaluation, it was found that the system is suitable for VR flight simulations with high operating accuracy.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Automation & Control Systems
Elisa Prati, Valeria Villani, Fabio Grandi, Margherita Peruzzini, Lorenzo Sabattini
Summary: This article proposes a new method for designing collaborative robotic systems with a focus on interaction characteristics, emphasizing the interaction experience through a user-centered approach. Through two industrial case studies, the applicability of this method to real-world domains is showcased.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Yueh-Min Huang, Po-Sheng Chiu, Tzu-Chien Liu, Tzung-Shi Chen
COMPUTERS & EDUCATION
(2011)
Article
Green & Sustainable Science & Technology
Po-Sen Huang, Po-Sheng Chiu, Yueh-Min Huang, Hua-Xu Zhong, Chin-Feng Lai
Article
Green & Sustainable Science & Technology
Hua-Xu Zhong, Po-Sheng Chiu, Chin-Feng Lai
Summary: This study measured students' cognitive load and flow experience in a flipped programming course using CDIO engineering design, and found significant improvements in some dimensions of students' flow experience.
Article
Education & Educational Research
Po-Sheng Chiu, Hua-Xu Zhong, Chin-Feng Lai
Summary: This study examines the relationship between self-efficacy, flow experience, and learning performance by applying a flipped classroom model to a programming course. The findings suggest a positive relationship between programming self-efficacy and enjoyment, engagement, and flow control, as well as important implications for improving the design and delivery of such courses.
INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL
(2023)
Article
Education & Educational Research
Dadan Sumardani, Elly Ramadhani Sipayung, Po-Sheng Chiu
Summary: This article presents a method of using augmented reality technology to teach Bravais crystals and evaluates students' feedback on the system. The results show that students are highly satisfied with the system, finding it motivating and enabling them to engage in independent learning.
INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL
(2023)
Article
Education & Educational Research
Chin-Feng Lai, Hua-Xu Zhong, Jui-Hung Chang, Po-Sheng Chiu
Summary: This study aimed to enhance students' learning achievement and computational thinking abilities in a flipped web programming course using the Design Thinking-CDIO framework. The results showed significant improvements in learning achievement and computational thinking abilities. There were no significant gender differences in learning achievement, but some differences were observed in certain dimensions of computational thinking abilities.
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT
(2022)
Article
Information Science & Library Science
Jui-Hung Chang, Chi-Jane Wang, Hua-Xu Zhong, Pei-Wen Chen, Ai-Jou Pan, Po-Sheng Chiu
Summary: This study investigates the effects of the Perceptions of COVID-19 questionnaire and the Information System Success Questionnaire on students when using the school's COVID-19 epidemic prevention website. The findings indicate that most students evaluated the website positively and were satisfied, while also suggesting areas for improvement. Students' COVID-19 perceptions and compliance with social distancing vary based on their individual situations. The study provides researchers and website developers with a better understanding of the construction of the school's COVID-19 prevention website and student's COVID-19 perceptions.
Article
Education & Educational Research
Hua-Xu Zhong, Chin-Feng Lai, Jui-Hung Chang, Po-Sheng Chiu
Summary: This study integrated computational thinking, STEM, and CDIO engineering design into a course and examined the impact on students' creativity. The results showed a significant impact on students' creativity, particularly among male students.
INTERNATIONAL JOURNAL OF TECHNOLOGY AND DESIGN EDUCATION
(2023)
Article
Education & Educational Research
Po-Sheng Chiu, Hsin-Chin Chen, Yueh-Min Huang, Chia-Ju Liu, Ming-Chi Liu, Ming-Hsun Shen
INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL
(2018)
Article
Education & Educational Research
Po-Sheng Chiu, Ying-Hung Pu, Chih-Chien Kao, Ting-Ting Wu, Yueh-Min Huang
INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL
(2018)
Article
Education & Educational Research
Jui-Hung Chang, Po-Sheng Chiu, Yueh-Min Huang
INTERNATIONAL REVIEW OF RESEARCH IN OPEN AND DISTRIBUTED LEARNING
(2018)
Article
Education & Educational Research
Yueh-Min Huang, Po-Sheng Chiu
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY
(2015)
Article
Information Science & Library Science
Chin-Feng Lai, Po-Sheng Chiu, Yueh-Min Huang, Tzung-Shi Chen, Tien-Chi Huang
ELECTRONIC LIBRARY
(2014)
Article
Computer Science, Interdisciplinary Applications
Elise Ameloot, Tijs Rotsaert, Thomas Ameloot, Bart Rienties, Tammy Schellens
Summary: This study investigates the impact of using learning analytics to support students' autonomy and competence needs in a blended learning environment. The findings show that teachers' adaptation based on learning analytics positively influences students' satisfaction with the adapted learning environment. However, students' basic psychological needs vary depending on the face-to-face workshop subject. The study emphasizes the importance of thoughtful blended learning course design and provides recommendations for effective learning analytics utilization in university settings.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Tzu-Chi Yang, Zhi-Shen Lin
Summary: Computational thinking is essential in the current era and learning programming is the most effective way to develop it. Introducing computational thinking and programming at an early age is recommended. Graphic organizers serve as a bridge between students' existing knowledge and new learning, enhancing their learning process. The study found that using graphic organizers improved elementary school students' computational thinking, programming skills, and learning experiences.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yuqin Yang, Kaicheng Yuan, Gaoxia Zhu, Lizhen Jiao
Summary: The study finds that the design of collaborative analytics-enhanced reflective assessment can promote conducive epistemic emotions to knowledge building among undergraduates, and enriches our understanding of the relationships between metacognition, epistemic emotions, and knowledge building practices.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Vishal Kiran Kuvar, Jeremy N. Bailenson, Caitlin Mills
Summary: Recent research suggests that students' minds often wander off-task during learning, regardless of the learning modality. This study explores the potential of virtual reality (VR) to reduce task-unrelated thoughts (TUT) and finds that learning with VR leads to lower TUT and better performance.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yiming Liu, Jeremy Tzi Dong Ng, Xiao Hu, Zhengyang Ma, Xiaoyan Lai
Summary: This study examines teachers' usage intention and behavior towards the Game Learning Analytics (GLA) system in K-12 classrooms. The study found that personal, environmental, and technological factors influenced teachers' intention and behavior, and that technostress moderated the intention-behavior relationship. The study also identified the heterogeneity of GLA usage among teachers with different individual characteristics.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Romina Cachia, Artur Pokropek, Nikoleta Giannoutsou
Summary: This article introduces a shortened version of the European Commission's SELFIE tool for measuring the digital capacity of schools. Two shorter measurement instruments, called midi-SELFIE and mini-SELFIE, are proposed based on the original tool. The validity and uses of these shortened versions are explored through various cases and compared to the complete instrument. The results suggest that the shortened versions of SELFIE are reliable alternatives for specific purposes.
COMPUTERS & EDUCATION
(2024)