Article
Education & Educational Research
Laura Romero Rodriguez
Summary: Society is evolving and the needs of current students are changing, driven by the digital revolution. Gamification tools are increasingly used in education to motivate students, especially in engineering. This study implemented a video game in a complex subject at a school of engineering, resulting in increased motivation and improved performance for students. The positive impact of gamification was found in terms of engagement, usability, and academic performance.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
Sergio J. Viudes-Carbonell, Francisco J. Gallego-Duran, Faraon Llorens-Largo, Rafael Molina-Carmona
Summary: The design and development of Serious Games is a complex task with considerable risk of failure, but introducing iterative design methods can increase the chances of success.
Article
Education & Educational Research
Christian Moro, Charlotte Phelps, James Birt
Summary: The use of game-based learning in tertiary education is increasing to enhance student engagement. Educators must gather feedback during the development of gaming resources to ensure quality. Online gaming communities can provide valuable feedback to accelerate the design and improvement of serious games.
INTERNET AND HIGHER EDUCATION
(2022)
Article
Chemistry, Multidisciplinary
Kim Martinez, Maria Isabel Menendez-Menendez, Andres Bustillo
Summary: This article presents a new model to evaluate the gaming and educational features of serious games. Through testing, it was found that the games performed well in terms of gameplay, but lacked in the application of educational content.
APPLIED SCIENCES-BASEL
(2022)
Article
Education & Educational Research
Alexandros Filippas, Stelios Xinogalos
Summary: The study aims to design and evaluate a serious game called Elementium, which uses rich game mechanics for Chemistry education. The evaluation showed that Elementium was positively assessed by Chemistry teachers in terms of acceptance, usability, didactic utility, and game environment.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Chemistry, Multidisciplinary
Pedro Omar Silva-Vasquez, Viviana Yarel Rosales-Morales, Edgard Benitez-Guerrero, Giner Alor-Hernandez, Carmen Mezura-Godoy, Luis Gerardo Montane-Jimenez
Summary: Serious games, which are video games designed for educational purposes, can help teachers enhance students' knowledge. The development of serious games requires knowledge, time, and effort, and specialized tools are needed to assist the process. This study introduces a model for developing serious games in the platformer genre and presents a proof of concept tool based on this model. The tool was used to generate a serious game, which was evaluated in terms of gameplay, mechanics, story, and usability. The evaluation results indicate that the serious game meets the minimum requirements of student audiences, who expect an entertaining and educational game. The results are satisfactory in three out of four areas, with room for improvement in the game's story. This research aims to improve the development time of new serious games and make them more accessible to software engineers and teachers for classroom implementation.
APPLIED SCIENCES-BASEL
(2023)
Review
Chemistry, Multidisciplinary
Abdullah Umar, Zubair Khalid, Mohammed Ali, Mohammed Abazeed, Ali Alqahtani, Rahat Ullah, Hashim Safdar
Summary: This study examines how AI-based algorithms contribute to congestion mitigation in WSN-based IoT networks and explores various congestion mitigation strategies. It also highlights the limitations of AI-based solutions and compares the current literature, making this study novel. The study demonstrates significant expertise in reducing WSN congestion in ultra-dense networks.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Jose Aguilar, Francisco Diaz, Junior Altamiranda, Nelson Perez Garcia, Angel Dario Pinto
Summary: This article introduces a new component of an emerging serious game engine (ESGE), called the plot adaptive system (PAS), which allows updating game plots according to the given theme in a smart classroom. The article also analyzes the behavior of PAS in a case study and presents three experiments with very encouraging results.
IEEE TRANSACTIONS ON GAMES
(2022)
Review
Optics
Chao Liu, Yi Zheng, Rong-Ying Yuan, Zhao Jiang, Jin-Bo Xu, You-Ran Zhao, Xin Wang, Xiao-Wei Li, Yan Xing, Qiong-Hua Wang
Summary: Tunable liquid lenses, with their strong adjustability, low power consumption, fast response time, and easy integration, have attracted much attention from researchers. This review provides an introduction to the research background, classification, driving mechanism, latest progress, limitations, directions for future research, and current and potential applications of tunable liquid lenses.
LASER & PHOTONICS REVIEWS
(2023)
Article
Computer Science, Information Systems
Joao Carlos Epifanio, Lyrene Fernandes da Silva
Summary: Serious Games are games that facilitate training and learning, and they have been found to have a positive impact on individuals with autism. However, many of these games do not incorporate effective techniques for teaching this specific group. This article introduces a Game Design Document (GDD) model that includes characteristics based on Applied Behavior Analysis (ABA) principles, aiming to guide designers in the development of serious games. The model was validated through surveys involving ABA therapists and game developers, and the results demonstrate its consistency with ABA interventions and its value in providing insights for serious game designers. Additionally, the GDD model enables quantitative analysis of learning outcomes.
Article
Urban Studies
Abdul Rehman Javed, Faisal Shahzad, Saif Ur Rehman, Yousaf Bin Zikria, Imran Razzak, Zunera Jalil, Guandong Xu
Summary: Future smart cities are crucial for fulfilling increasing demands and better resource management through information and communication advancements. However, rapid population growth poses challenges in creating sustainable urban spaces. The rise of smart cities ensures citizen rights and well-being, along with evaluating urban planning from an environmental perspective. This paper surveys future technologies and requirements for smart cities, reviews existing application frameworks, discusses technological challenges, and identifies future dimensions for developing smart cities.
Article
Biology
Arne Traulsen, Nikoleta E. Glynatsi
Summary: Evolutionary game theory is an interdisciplinary subject that extends beyond biology, attracting mathematicians, social scientists, and computer scientists. The field has the potential for convergence or continued cross-fertilization between different disciplines, as insights are discovered and applied in various fields. The popularity of evolutionary game theory lies in its explanatory power and intuitive models.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Psychology, Multidisciplinary
Natalia Sevcenko, Manuel Ninaus, Franz Wortha, Korbinian Moeller, Peter Gerjets
Summary: This study proposed in-game metrics for predicting workload during game-based training, showing significant associations between the metrics and subjective workload measures, as well as gaming performance. Results indicated that a prediction model based on early gameplay data could predict overall gaming performance effectively, suggesting that in-game metrics may be suitable for real-time adaptation of a game-based learning environment.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Engineering, Chemical
Farah Ejaz Ahmed, Abdullah Khalil, Nidal Hilal
Summary: Emerging desalination technologies like forward osmosis and membrane distillation have made progress with advances in nanomaterials and electrochemical processes, but challenges remain in factors such as draw solute selection and energy consumption reduction.
Article
Computer Science, Artificial Intelligence
Giovanni Amendola, Gianluigi Greco, Pierfrancesco Veltri
Summary: Coalitional games are mathematical models used to study payoff distribution problems in cooperative scenarios. Current compact encodings typically assume utility can be freely transferred, while designing mechanisms for non-transferable utility remains largely unexplored. This paper proposes a compact encoding method for non-transferable utility coalitional games using answer set programming, showing its effectiveness in representing various games and addressing computational issues.
ARTIFICIAL INTELLIGENCE
(2022)
Article
Environmental Sciences
Omer Harouvi, Eran Ben-Elia, Roni Factor, Kees de Hoogh, Itai Kloog
JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY
(2018)
Article
Engineering, Civil
Eran Ben-Elia, Glenn Lyons, Patricia L. Mokhtarian
Article
Economics
Eran Ben-Elia, Itzhak Benenson
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2019)
Article
Computer Science, Interdisciplinary Applications
Golan Ben-Dor, Eran Ben-Elia, Itzhak Benenson
Summary: This study investigates the impact of downsizing traveler population in MATSim on the dynamics of urban transportation systems. It is found that simulations with 25% or higher shares of the traveler population can preserve all major urban traffic statistics, but downsizing within the 10-25% interval starts to become unstable, while downsizing below 10% can lead to substantial deviations in statistics from the full-scale model.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Transportation Science & Technology
Shelly Etzioni, Ricardo A. Daziano, Eran Ben-Elia, Yoram Shiftan
Summary: This study models the choice between different shared automated transportation services using a hybrid choice model, identifying two latent classes of users based on factors like time style orientation and seating designation. The research shows that factors such as time style and seating designation play a significant role in determining users' preference for shared rides and automated transit.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Sharon Geva, Nir Fulman, Eran Ben-Elia
Summary: Scarcity of on-street parking in city centers leads to cruising problem, but a suitable pricing policy can effectively reduce this issue.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Transportation Science & Technology
Nadav Shalit, Michael Fire, Eran Ben-Elia
Summary: This study introduces a machine learning method to impute missing boarding stops in public transport datasets using smart card usage. The results show that the proposed method is robust and outperforms other imputation methods without the need for additional datasets.
Article
Remote Sensing
Ganmin Yin, Zhou Huang, Liu Yang, Eran Ben-Elia, Liyan Xu, Bronte Scheuer, Yu Liu
Summary: This study proposes a novel computational framework based on multi-source geospatial big data to calculate the travel ratio of public transportation (PTR) at a spatially refined scale and analyze its influencing factors. The case of Wangjing area in Beijing reveals that the overall PTR in Wangjing is only 16%, much lower than the official expectation of 45%, and less than 20% of origin-destination (OD) pairs meet the standard. Factors such as the travel duration gap between public transportation and private cars, walking distance, number of transfers, and residential parking density have significant negative effects on PTR.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Sharon Geva, Eran Ben-Elia
Summary: The scarcity of parking spaces in city centers leads to slow driving and negative consequences such as congestion, accidents, fuel waste, and air pollution. Pricing strategies can effectively reduce cruising and encourage drivers to park earlier or choose parking lots.
ADVANCES IN SOCIAL SIMULATION
(2022)
Article
Transportation Science & Technology
Nir Fulman, Itzhak Benenson, Eran Ben-Elia
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Golan Ben-Dor, Eran Ben-Elia, Itzhak Benenson
11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS
(2020)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Golan Ben-Dor, Eran Ben-Elia, Itzhak Benenson
10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS
(2019)
Article
Economics
Nadav Levy, Chen Golani, Eran Ben-Elia
JOURNAL OF TRANSPORT GEOGRAPHY
(2019)
Article
Economics
Nadav Levy, Ido Klein, Eran Ben-Elia
RESEARCH IN TRANSPORTATION ECONOMICS
(2018)
Article
Psychology, Applied
Ido Klein, Eran Ben-Elia
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2018)
Article
Transportation Science & Technology
Yue Zhao, Liujiang Kang, Huijun Sun, Jianjun Wu, Nsabimana Buhigiro
Summary: This study proposes a 2-population 3-strategy evolutionary game model to address the issue of subway network operation extension. The analysis reveals that the rule of maximum total fitness ensures the priority of evolutionary equilibrium strategies, and proper adjustment minutes can enhance the effectiveness of operation extension.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Hongtao Hu, Jiao Mob, Lu Zhen
Summary: This study investigates the challenges of daily storage yard management in marine container terminals considering delayed transshipment of containers. A mixed-integer linear programming model is proposed to minimize various costs associated with transportation and yard management. The improved Benders decomposition algorithm is applied to solve the problem effectively and efficiently.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Zhandong Xu, Yiyang Peng, Guoyuan Li, Anthony Chen, Xiaobo Liu
Summary: This paper studied the impact of range anxiety among electric vehicle drivers on traffic assignment. Two types of range-constrained traffic assignment problems were defined based on discrete or continuous distributed range anxiety. Models and algorithms were proposed to solve the two types of problems. Experimental results showed the superiority of the proposed algorithm and revealed that drivers with heightened range anxiety may cause severe congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Chuanjia Li, Maosi Geng, Yong Chen, Zeen Cai, Zheng Zhu, Xiqun (Michael) Chen
Summary: Understanding spatial-temporal stochasticity in shared mobility is crucial, and this study introduces the Bi-STTNP prediction model that provides probabilistic predictions and uncertainty estimations for ride-sourcing demand, outperforming conventional deep learning methods. The model captures the multivariate spatial-temporal Gaussian distribution of demand and offers comprehensive uncertainty representations.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Benjamin Coifman, Lizhe Li
Summary: This paper develops a partial trajectory method for aligning views from successive fixed cameras in order to ensure high fidelity with the actual vehicle movements. The method operates on the output of vehicle tracking to provide direct feedback and improve alignment quality. Experimental results show that this method can enhance accuracy and increase the number of vehicles in the dataset.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Mohsen Dastpak, Fausto Errico, Ola Jabali, Federico Malucelli
Summary: This article discusses the problem of an Electric Vehicle (EV) finding the shortest route from an origin to a destination and proposes a problem model that considers the occupancy indicator information of charging stations. A Markov Decision Process formulation is presented to optimize the EV routing and charging policy. A reoptimization algorithm is developed to establish the sequence of charging station visits and charging amounts based on system updates. Results from a comprehensive computational study show that the proposed method significantly reduces waiting times and total trip duration.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
