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

Feedback control for exergames

The concept of merging exercise equipment with video games, known as exergaming, has the potential to be one of the main tools used in addressing the current rising obesity epidemic. Existing research shows that exergaming can help improve fitness and additionally motivate people to become more active. The two key elements of attractiveness - how much people want to play or use the exergaming system; and effectiveness – how effective the exergaming system is in actually increasing or maintaining physical fitness, need to be maximised to obtain the best outcomes from an exergaming system; we put this forward as the Dual Flow Model. As part of the development of our exergame system we required the use of a heart rate response simulator. We discovered that there was no existing quantitative model appropriate for the simulation of heart rate responses to exercise. In order to overcome this, we developed our own model for the simulation of heart rate response. Based on our model, we developed a simulation tool known as the Virtual Body Simulator, which we used during our exergame development. Subsequent verification of the model using the trial data indicated that the model accurately represented exergame player heart rate responses to a level that was more than sufficient for exergame research and development. In our experiment, attractiveness was controlled by manipulation of the game difficulty to match the skill of the player. The balance of challenge and skills to facilitate the attainment of the flow state, as described by Csikszentmihalyi (1975), is widely accepted as a motivator for various activities. Effectiveness, in our experiments was controlled through exercise intensity. Exercise intensity was adjusted based on the player‟s heart rate to maintain intensity within the limits of the ASCM Guidelines (ACSM, 2006) for appropriate exercise intensity levels. We tested the Dual Flow Model by developing an exergame designed to work in four different modes; created by selectively varying the control mechanisms for exercise workout intensity and game mental challenge. We then ran a trial with 21 subjects who used the exergame system in each of the different modes. The trial results in relation to the Dual Flow Model showed that we developed an excellent intensity control system based on heart rate monitoring; successfully managing workout intensity for the subjects. However, we found that the subjects generally found the intensity controlled sessions less engaging, being closer to the flow state in the sessions where the intensity was controlled based on heart rate. The dynamic difficulty adjustment system developed for our exergame also did not appear to help facilitate attainment of the flow state. Various theories are put forward as to why this may have occurred. We did find that challenge control had an impact on the actual intensity of the workout. When the intensity was not managed, the challenge control modes were generally closer to the desired heart rates. While the difference was not statistically very large, there was a strong correlation between the intensity of the different modes. This correlation was also present when looking at the players‟ perception of intensity, indicating that the difference was enough to be noticed by the subjects

GameFlow 2020: 15 Years of a Model of Player Enjoyment

The original GameFlow model was first published in 2005 and in the last 15 years it has seen thousands of citations and hundreds of applications to designing and evaluating games and gameful experiences. Previous work has sought to test and validate the model by applying it to different game experiences to further understand those experiences and to expose any weaknesses of the model. In this paper, we survey over 200 applications of GameFlow over the last 15 years, to understand how, where, and why the model has been applied. We found that the model has been applied to a diverse set of experiences, domains, platforms, audiences, and used in a variety of ways. This work lays the foundations for targeting the next version of the GameFlow model towards the most valuable and appropriate applications and to define how it fits within the broader landscape of player experience tools

Designing engaging experiences with location-based augmented reality games for urban tourism environments.

Gameplay has recently unfolded as playfulness in various cultural forms using mobile technologies. The rapid affordability paired with the latest technology improvements enabled the diffusion of mobile devices among tourists, who are among the most avid users of mobile technologies. The advent of mobile devices has initiated a significant change in the way we perceive and connect with our environment and paved the way for location-based, mobile augmented reality (AR) games that provide new forms of experiences for travel and tourism. With the recent developments like Pokémon Go and a prediction of 420 million downloads per year by 2019, the mobile game market is one of the fastest growing fields in the sector. Location-based AR games for mobile devices make use of players‟ physical location via the GPS sensor, accelerometer and compass to project virtual 2D and 3D objects with the build-in camera in real time onto the mobile game user interface (GUI) in order to facilitate gameplay activities. Players interact with the virtual and physical game world and overcome artificial challenges while moving around in the real environment. Where current mobile games withdraw players from reality, location-based AR games aim to engage players with the physical world by combining virtual and physical game mechanics in an enhanced way that increases the level of interactive educative and entertaining engagement. Despite some recent research on location-based AR games, game designers do not know much about how to address tourism requirements and the development of mediated playful experiences for urban tourism environments. This study explores the use of location-based AR games to create engaging and meaningful experiences with the tourism urban environment by combining interdisciplinary research of social sciences, (mobile) game design and mobile game user research (mGUR) to contribute to experience design in the context of travel and tourism. Objectives of the study are to identify the influence of key game elements and contextual gameplay parameters on the individual game experience (GX). To achieve the aim, the study has taken a pragmatic interpretivist approach to understand the player‟s individual GX in an evolving gameplay process in order to inform location-based game design. The project explores the interaction between the player, the game and the tourism context, which is assessed by a sequential triangulation of qualitative mixed methods. Two games were identified to be relevant for the tourism application that fulfilled the attributes of a location-based AR game. The first game is a role-playing adventure game, set in the time and place of the Cold War, called Berlin Wall 1989. The second game, Ingress, is a fictive, large area, massively multiplayer role-playing game that uses the real world as the battleground between two game fractions. A conceptual framework has been developed that presents the player engagement process with location-based AR games in urban tourism environments. The findings of the study indicate that gameplay is a moment-by-moment experience that is influenced by multiple aspects. The creation of engaging experiences between players, the game and the tourism context is related to six identified engagement characteristics; emotional engagement, ludic engagement, narrative engagement, spatial engagement, social engagement and mixed reality engagement. The study identified that the main motivations of playing a location-based AR game are the exploration of and learning about the visited destination, curiosity about the new playful activity and socialising with other players. Emotions underlie the creation of engagement stimulated by the alteration of playful interactions. The findings revealed that storytelling and simple game mechanics such as walking, feedback and goal orientation are essential elements in the creation of engaging experiences. Augmented reality, as a feature to connect the real with the virtual world, needs to create real added value for the gameplay in order to be perceived as engaging for players. The study proposes serious location-based AR games as an alternative form for tourism interpretation and has showed opportunities to enhance the tourist experience through self-directed, physical and mental interaction between players, the environment and the location-based AR game. The findings of the research illustrate the complexity of designing location-based game experiences. The developed conceptual framework can be used to inform future location-based AR game design for travel and tourism

Training for Optimal Sports Performance and Health

In this book, the emphasis is on various training interventions. Types of exercises that can help improve performance in athletes and health in people facing poor movement diseases.Also, we have presented a variety of strength training interventions in the form of various types of research. On the other hand, we continue to monitor internal and external loads related to non-contact injuries and performance analysis