Educating Greek Students about Climate Change through Serious Games

In Greece, climate change is projected to have detrimental effects, disrupting agricultural production, wildlife species, public health and economic standing. Studies have shown that increasing education can help combat climate change. The goal of this project was to develop serious games about climate change as resources for the Environmental Education Centre of Eleftherio-Kordelio and educators throughout Greece. Using a knowledge survey, observations, and other forms of assessment, we developed, tested, and refined 6 serious games with 185 students. These games, along with 8 others, are presented in a booklet that can be disseminated to Greek educators

Educating Greek Students about Climate Change through Serious Games

In Greece, climate change is projected to have detrimental effects, disrupting agricultural production, wildlife species, public health and economic standing. Studies have shown that increasing education can help combat climate change. The goal of this project was to develop serious games about climate change as resources for the Environmental Education Centre of Eleftherio-Kordelio and educators throughout Greece. Using a knowledge survey, observations, and other forms of assessment, we developed, tested, and refined 6 serious games with 185 students. These games, along with 8 others, are presented in a booklet that can be disseminated to Greek educators

Affording Enjoyment in VR Games: Possibilities, Pitfalls, and Perfection

In this paper, we present research that aims to understand affordances and inhibitors of enjoyment in virtual reality (VR) video games. We apply the GameFlow model to analyse VR and non-VR versions of the same games to identify differences in enjoyment in VR games. Our approach involves conducting qualitative analysis on video game reviews, using GameFlow as a theoretical foundation. We report on our analysis of the games Superhot and Skyrim. We find that affordances are largely consistent between VR and non-VR versions of the same games, with a few key differences related to Feedback, Control, Player Skills, and Immersion. We conclude that GameFlow is applicable to VR games, with the addition of a Comfort element to describe player comfort while playing

Towards Balancing Fun and Exertion in Exergames: Exploring the Impact of Movement-Based Controller Devices, Exercise Concepts, Game Adaptivity and Player Modes on Player Experience and Training Intensity in Different Exergame Settings

Physical inactivity remains one of the biggest societal challenges of the 21st century. The gaming industry and the fitness sector have responded to this alarming fact by introducing game-based or gamified training scenarios and thus established the promising trend of exergaming. Exergames – games controlled by active (whole) body movements – have been extolled as potential attractive and effective training tools. However, the majority of the exergames do not meet the required intensity or effectiveness, nor do they induce the intended training adherence or long-term motivation. One reason for this is that the evaluated exergames were often not co-designed with the user group to meet their specific needs and preferences, nor were they co-designed with an interdisciplinary expert team of game designers (to ensure a good gaming experience) and sports scientists (for a great training experience). Accordingly, the research results from studies with these exergames are rather limited. To fully exploit the potential of these innovative movement tools and to establish them as attractive and effective training approach, it is necessary to understand and explore both the underlying interdisciplinary theories and concepts as well as possible design approaches and their impact on the game and training experience. This dissertation aims to contribute to a better understanding of well-balanced exergame design. It explores and evaluates how different movement-based control devices, exercise concepts, game adaptations, and player modes influence the attractiveness and effectiveness of exergames. The work provides theoretical and practical contributions to the problem area of effective and attractive exergames. For this purpose, a research and development (R&D) approach with iterative phases was followed. As preliminary work for the contributions of this dissertation, exergames were approached from a theoretical perspective. Underlying multidisciplinary theories and concepts of exergames from relevant fields were analyzed and a generic framework was built, which structured the findings based on three interdependent dimensions: the player, the game controller, and the virtual game scenario. Some commercially available exergames were explored to verify the theory-based assumption that the interposition of technology brings specific transformations in the coupling of perception and action that do not occur in real sports situations. Among other things, the comparative pilot study showed that two different controllers (one gesture-based and one haptic device), which allowed for different physical input, were likely to induce diverse gameplay experiences (e.g., higher feeling of flow and self-location when playing with the haptic device) with differently skilled players. However, certain design-specific differences in the two exergame conditions meant that these results could only be interpreted as a first trend. To overcome the limitations of this preliminary study approach (e.g., unequal game design of the commercial exergames and very sports-specific movement concept), Plunder Planet, an adaptive exergame environment, was iteratively designed with and for children and allowed for a single- and cooperative multiplayer experience with two different controller devices. The user-centered design was further informed by insights from the growing body of related R&D work in the field of exergames. The first study presented in this dissertation compared the subjectively experienced attractiveness and effectiveness of Plunder Planet when played with different motion-based controllers. Besides a generally great acceptance of the exergame, it was found that the haptic full-body motion controller provided physical guidance and a more cognitively and coordinatively challenging workout, which was more highly rated by experienced gamers with fewer athletic skills. The gesture-based Kinect sensor felt more natural, allowed more freedom of movement, and provided a rather physically intense but cognitively less challenging workout, which was more highly rated by athletic players with less gameplay experience. Furthermore, experiments were made with an exploratory adaptive algorithm that enabled the cognitive and the physical challenge of the exergame to be manually adapted in real-time based on the player’s fitness and gaming skills. The first and the second study also compared an adaptive with a non-adaptive single player version of Plunder Planet. It could be shown that the (well-balanced) adaptive version of the exergame was better valued than the non-adaptive version with regard to the experienced and measured attractiveness (motivation, game flow, spatial presence experience, balance of cognitive and physical challenge) and effectiveness (heart rate, physical exertion, balance of cognitive and physical challenge) by differently skilled players. Finally, and contrary to the findings from related work, the results of the third study proved that the specifically designed controller technology could be used as an “enabler”, “supporter” and “shaper” of bodily interplay in social exergaming. Based on these promising findings, the goal became to further explore the effectiveness of exergames, refine the adaptive game difficulty algorithm, and explore further attractiveness- and motivation-boosting design approaches. Therefore, the ExerCube, a physically immersive and adaptive fitness game setting, was developed. It was iteratively designed with and for adults and allowed for cooperatively and competitive exergame experiences. With its physically immersive game setup, the ExerCube combines a mixed version of the advantages of both previously tested controllers. A coordinatively and cognitively challenging functional workout protocol with scalable intensity (moderate to high) was developed and the subjective experience of the ExerCube training was compared with a conventional functional training with a personal trainer. The fourth study showed that the game-based training gave signs of reaching a similar intensity to the personal training, but was more highly rated for flow, motivation, and enjoyment. Based on this exploratory comparison of the ExerCube with a personal trainer session, valuable avenues for further design could be identified. Among other things, it could be proved that the player’s focus during the ExerCube session was more on the game than on the own body. Players experienced stronger physical exertion and social pressure with the personal trainer and a stronger cognitive exertion and involvement with the ExerCube. Furthermore, a refined version of the previously tested adaptive game difficulty algorithm was implemented and automated for the first time for purpose of this study. Again it was shown that the adaptive version had benefits with regard to subjectively experienced attractiveness (motivation, game flow, balance of cognitive and physical challenge) and effectiveness (physical exertion, balance of cognitive and physical challenge) compared to the non-adaptive version. In order to further enhance the gaming experience, experiments were also conducted with sound designs and an adaptive audio design with adaptive background music and sound feedback was implemented. It was found to be a promising and beneficial add-on for a user-centered attractive exergame design. To inform the design of a multiplayer version of the ExerCube, different social play mechanics were explored in the fifth study. This resulted in differently balanced experiences of fun, and in physical as well as cognitive exertion. As the preliminary comparative evaluation of the subjectively experienced effectiveness and attractiveness of an ExerCube session and a personal trainer session could prove the general feasibility of the concept and revealed the first indications of the intensity of the ExerCube’s training concept, the objectively measured effectiveness of a single ExerCube session with a functional high-intensity interval training (fHIIT) with a personal trainer was compared in a final sixth study, and after another design iteration. Again, the subjectively experienced attractiveness of both conditions was assessed. It could be shown that the ExerCube is a feasible training device for training at fHIIT-level. While physical exertion was slightly lower than in the conventional fHIIT condition, the ExerCube condition’s average heart rate values reached the fHIIT threshold and also yielded significantly better results for flow, enjoyment, and motivation. The ExerCube training also resulted in a subjectively experienced higher cognitive load (dual-domain training). To sum up, it can be stated that this dissertation provides valuable and fundamental research contributions to the promising field of exergames as attractive and effective training tools. Furthermore, important contributions to design questions in this field could be developed. Since this field is still relatively unexplored, the work presented creates a sound basis for future R&D work in this area

Languages of games and play: A systematic mapping study

Digital games are a powerful means for creating enticing, beautiful, educational, and often highly addictive interactive experiences that impact the lives of billions of players worldwide. We explore what informs the design and construction of good games to learn how to speed-up game development. In particular, we study to what extent languages, notations, patterns, and tools, can offer experts theoretical foundations, systematic techniques, and practical solutions they need to raise their productivity and improve the quality of games and play. Despite the growing number of publications on this topic there is currently no overview describing the state-of-the-art that relates research areas, goals, and applications. As a result, efforts and successes are often one-off, lessons learned go overlooked, language reuse remains minimal, and opportunities for collaboration and synergy are lost. We present a systematic map that identifies relevant publications and gives an overview of research areas and publication venues. In addition, we categorize research perspectives along common objectives, techniques, and approaches, illustrated by summaries of selected languages. Finally, we distill challenges and opportunities for future research and development

Clinical Decision Support Systems with Game-based Environments, Monitoring Symptoms of Parkinson’s Disease with Exergames

Parkinson’s Disease (PD) is a malady caused by progressive neuronal degeneration, deriving in several physical and cognitive symptoms that worsen with time. Like many other chronic diseases, it requires constant monitoring to perform medication and therapeutic adjustments. This is due to the significant variability in PD symptomatology and progress between patients. At the moment, this monitoring requires substantial participation from caregivers and numerous clinic visits. Personal diaries and questionnaires are used as data sources for medication and therapeutic adjustments. The subjectivity in these data sources leads to suboptimal clinical decisions. Therefore, more objective data sources are required to better monitor the progress of individual PD patients. A potential contribution towards more objective monitoring of PD is clinical decision support systems. These systems employ sensors and classification techniques to provide caregivers with objective information for their decision-making. This leads to more objective assessments of patient improvement or deterioration, resulting in better adjusted medication and therapeutic plans. Hereby, the need to encourage patients to actively and regularly provide data for remote monitoring remains a significant challenge. To address this challenge, the goal of this thesis is to combine clinical decision support systems with game-based environments. More specifically, serious games in the form of exergames, active video games that involve physical exercise, shall be used to deliver objective data for PD monitoring and therapy. Exergames increase engagement while combining physical and cognitive tasks. This combination, known as dual-tasking, has been proven to improve rehabilitation outcomes in PD: recent randomized clinical trials on exergame-based rehabilitation in PD show improvements in clinical outcomes that are equal or superior to those of traditional rehabilitation. In this thesis, we present an exergame-based clinical decision support system model to monitor symptoms of PD. This model provides both objective information on PD symptoms and an engaging environment for the patients. The model is elaborated, prototypically implemented and validated in the context of two of the most prominent symptoms of PD: (1) balance and gait, as well as (2) hand tremor and slowness of movement (bradykinesia). While balance and gait affections increase the risk of falling, hand tremors and bradykinesia affect hand dexterity. We employ Wii Balance Boards and Leap Motion sensors, and digitalize aspects of current clinical standards used to assess PD symptoms. In addition, we present two dual-tasking exergames: PDDanceCity for balance and gait, and PDPuzzleTable for tremor and bradykinesia. We evaluate the capability of our system for assessing the risk of falling and the severity of tremor in comparison with clinical standards. We also explore the statistical significance and effect size of the data we collect from PD patients and healthy controls. We demonstrate that the presented approach can predict an increased risk of falling and estimate tremor severity. Also, the target population shows a good acceptance of PDDanceCity and PDPuzzleTable. In summary, our results indicate a clear feasibility to implement this system for PD. Nevertheless, long-term randomized clinical trials are required to evaluate the potential of PDDanceCity and PDPuzzleTable for physical and cognitive rehabilitation effects

The employee experience in cybersecurity and how to mitigate risk

With society now heavily invested in computer systems and internet connectivity, it has never been more vital to identify ways to safeguard cyberspace (Asquith & Morgan, 2019). In 2021, over 23,896 cyber security incidents were reported to have taken place across the globe, with a data breach confirmed in over 5,212 of these incidents (Verizon, 2022). Despite many organisations now applying time and budget to cybersecurity awareness training, 82% of security breaches are still found to involve a human element (Verizon, 2022). The aim of this PhD was to better understand the human experience in cybersecurity, internal individual differences that can result in decision-making vulnerabilities, but also the impact of additional external pressures such as offender persuasion attempting to leverage on human susceptibility, to the impact of persuasive interventions generated to promote secure behaviour. The result – a Cybersecurity Awareness Framework (CAF) that can guide organisations on how to better measure and manage human-centric cybersecurity moving forward. In addition, an improved understanding around the persuasion techniques most likely to increase human vulnerability, as well as findings around the impact of several interventions currently being utilised to persuade end-users to behave in ways that counter that vulnerability. Together, these outputs provide a more holistic understanding around the employee experience in cybersecurity, the challenges they face, and recommendations for future intervention