A Serious Game Approach in Anti-Doping Education: the Game Project

Anti-doping education has largely relied on traditional educational approaches such as face-to-face interaction and e-learning material. Current challenges in anti-doping education involve a) the development of modern educational tools suitable for the new generation of athletes, b) the use of state-of- art learning pedagogies that will enable effective engagement, learning and retention of the learned material, c) a systematic evaluation of the outcomes of anti-doping educational interventions on behavior and related cognition, and d) a positive approach to doping prevention. Project GAME aims to address these needs through the development of a serious game that will incorporate current empirical evidence on the psychological mechanisms underpinning the decision making process towards doping use in competitive and recreational sports. The aim of the present study is to highlight the importance of anti-doping education, conduct a state of the art literature review on serious games' design, present the prototype of a scenario that will be included in a serious game for anti-doping education, and discuss the project's activities related to the use of technologies in anti-doping education. +++++++++++++ Anti-doping education has largely relied on traditional educational aproaches such as face-to-face interaction and e-learning material. Current chalenges in anti-doping education involve a) the development of modern educational tools suitable for the new generation of athletes, b) the use of state-of- art learning pedagogies that will enable effective engagement, learning and retention of the learned material, c) a systematic evaluation of the outcomes of anti-doping educational interventions on behavior and related cognition, and d) a positive approach to doping prevention. Project GAME aims to address these needs through the development of a serious game that will incorporate current empirical evidence on the psychological mechanisms underpinning the decision making process towards doping use in competitive and recreational sports. The aim of the present study is to highlight the importance of anti-doping education, conduct a state of the art literature review on serious games' design, present the prototype of a scenario that will be included in a serious game for anti-doping education, and discuss the project's activities related to the use of technologies in anti-doping educatio

Virtual University and Gamification to Support Engineering Education

Discussion about Gamification to Support Engineering Educatio

Virtual University and Gamification to Support Engineering Education

Discussion about Gamification to Support Engineering Educatio

Tennis Attack: An Exergame Utilizing a Natural User Interface to Measure and Improve the Simple Reaction Time

The present article demonstrates the process of designing, developing, implementing, and evaluating an active video game or exergame. The main goal of our proposed exergame is to develop the simple reaction time of players. The main target group are simple users; however, it can work on tennis specialists. Herein, we used the exergame to investigate the hypothesis that players can improve their reaction time through practice. To achieve this, players’ simple reaction time was measured at the start of the game. Then, the players took part in a 4-week training session. At the end of the training session, the simple reaction time of players was measured again and a questionnaire was completed. Another goal of this paper was to investigate the difference between perceived usefulness (general usability, usefulness, and user interface satisfaction) of experts and non-experts (sports science students and computer science students) and pro-gamers and casual gamers. The findings were encouraging. The majority of the players reported that the gaming experience was very satisfying and the game was easy to use and learn. Moreover, after the analysis, it was discovered that this game can significantly improve the simple reaction time of all players. This improvement was independent from the players’ background

Gamification Techniques and Best Practices in Computerized Working Memory Training: A Systematic Literature Review

Computerized Cognitive Training (CCT) programs have been widely used in the past decades, offering an alternative solution in enhancing cognitive functionalities, especially Working Memory (WM). CCT supports users to overcome the monotonous context of training by utilizing specific game elements (GE). Several previous studies focused on the efficacy of CCT, but only a few examined their potential in increasing motivation and adherence. This study aimed to (a) conduct a state-of-the-art systematic literature review to identify the most commonly used GEs in WM training and assessment; and to (b) investigate how they are utilized in regard to the audiences that are being applied. In total, seven online databases were searched using keywords related to WM and CCT, targeting studies from 2015 until early 2022. The systematic review identified 44 studies which were eligible for inclusion. The results report that the most widely used GEs are conflict (88.63%), feedback (84.9%), difficulty adjustment (73%), action points and levels (70.45%). On the other hand, GEs associated with competition and cooperation are not preferred except in very few cases. In conclusion, there is common ground in the use of GEs for WM training, but there is a need for further research to compare the GEs between them

A Framework for Intelligent Virtual Training . . .

The growing need for communication, visualization and organization technologies in the field of e-learning environments has led to the application of virtual reality and the use of collaborative virtual environments

Usability Evaluation of an Adaptive Serious Game Prototype Based on Affective Feedback

Difficulty in video games is an essential factor for a game to be considered engaging and is directly linked to losing in a game. However, for the user to not feel bored or frustrated, it is necessary for the difficulty of the game to be balanced and ideally tailored to the user. This paper presents the design and development of a serious game that adjusts its difficulty based on the user’s bio signals, so that it is demanding enough to match his/her skills, in order to enter the flow state. The serious game is accompanied by a server that uses machine learning algorithms to analyze the user’s bio signals and classify them into different affective states. These states are later used to adjust the difficulty of the serious game in real-time, without interfering with the user’s game experience. Finally, a heuristic evaluation was conducted in order to measure its usability and highlight the good practices and to draw attention to some elements of the game that should be changed in a future version

Usability Evaluation of an Adaptive Serious Game Prototype Based on Affective Feedback

Difficulty in video games is an essential factor for a game to be considered engaging and is directly linked to losing in a game. However, for the user to not feel bored or frustrated, it is necessary for the difficulty of the game to be balanced and ideally tailored to the user. This paper presents the design and development of a serious game that adjusts its difficulty based on the user’s bio signals, so that it is demanding enough to match his/her skills, in order to enter the flow state. The serious game is accompanied by a server that uses machine learning algorithms to analyze the user’s bio signals and classify them into different affective states. These states are later used to adjust the difficulty of the serious game in real-time, without interfering with the user’s game experience. Finally, a heuristic evaluation was conducted in order to measure its usability and highlight the good practices and to draw attention to some elements of the game that should be changed in a future version