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

Serious Games and Mixed Reality Applications for Healthcare

Virtual reality (VR) and augmented reality (AR) have long histories in the healthcare sector, offering the opportunity to develop a wide range of tools and applications aimed at improving the quality of care and efficiency of services for professionals and patients alike. The best-known examples of VR–AR applications in the healthcare domain include surgical planning and medical training by means of simulation technologies. Techniques used in surgical simulation have also been applied to cognitive and motor rehabilitation, pain management, and patient and professional education. Serious games are ones in which the main goal is not entertainment, but a crucial purpose, ranging from the acquisition of knowledge to interactive training.These games are attracting growing attention in healthcare because of their several benefits: motivation, interactivity, adaptation to user competence level, flexibility in time, repeatability, and continuous feedback. Recently, healthcare has also become one of the biggest adopters of mixed reality (MR), which merges real and virtual content to generate novel environments, where physical and digital objects not only coexist, but are also capable of interacting with each other in real time, encompassing both VR and AR applications.This Special Issue aims to gather and publish original scientific contributions exploring opportunities and addressing challenges in both the theoretical and applied aspects of VR–AR and MR applications in healthcare

Design and Development of ReMoVES Platform for Motion and Cognitive Rehabilitation

Exergames have recently gained popularity and scientific reliability in the field of assistive computing technology for human well-being. The ReMoVES platform, developed by the author, provides motor and cognitive exergames to be performed by elderly or disabled people, in conjunction with traditional rehabilitation. Data acquisition during the exercise takes place through Microsoft Kinect, Leap Motion and touchscreen monitor. The therapist is provided with feedback on patients' activity over time in order to assess their weakness and correct inaccurate movement attitudes. This work describes the technical characteristics of the ReMoVES platform, designed to be used by multiple locations such as rehabilitation centers or the patient's home, while providing a centralized data collection server. The system includes 15 exergames, developed from scratch by the author, with the aim of promoting motor and cognitive activity through patient entertainment. The ReMoVES platform differs from similar solutions for the automatic data processing features in support of the therapist. Three methods are presented: based on classic data analysis, on Support Vector Machine classification, and finally on Recurrent Neural Networks. The results describe how it is possible to discern patient gaming sessions with adequate performance from those with incorrect movements with an accuracy of up to 92%. The system has been used with real patients and a data database is made available to the scientific community. The aim is to encourage the dissemination of such data to lay the foundations for a comparison between similar studies

Determinants of Users Intention to Adopt Mobile Fitness Applications: an Extended Technology Acceptance Model Approach

The present research was motivated by the recognition that the use of mobile fitness applications (MFA) is increasingly popular among sports and exercise participants in recent years. Using an extended Technology Acceptance Model (TAM) perspective, this study explored potential predictors of behavioral intention toward MFAs such as perceived ease of use, perceived usefulness, personalization, personal innovativeness in information technology (PIIT), perceived enjoyment, mobile application self-efficacy, involvement in sports and exercise participation, and social influences (interpersonal and external influences). A theoretical model was developed and tested against the empirical data collected from 385 collegiate students enrolled in physical activity classes at a large university in the United States. The result of descriptive statistics indicated that the samples are active sports and exercise participants with their weekly exercise and sports participation of 5.41 hours. A measurement model and structural equation model were tested using AMOS 22.0 and confirmed eight out of eleven hypothesized relationships. In particular, personalization and PIIT were found to have significant effects on perceived usefulness and perceived ease of use, which in turn, affected behavioral intention toward using MFAs. Interpersonal influence and involvement in sports and exercise participation were also found to have significant effects on intention whereas no significant effects of mobile application self-efficacy, perceived enjoyment, and external influence were observed. The analyses demonstrated that perceived usefulness was the most powerful determinants of behavioral intention followed by interpersonal influence in terms of the path coefficient values. The construct of PIIT and personalization accounted for 43.4% variances in perceived ease of use and 48.9% variances in perceived usefulness variance. All the constructs within the structural model except external influence, perceived enjoyment, and mobile application self-efficacy, collectively explained the 75.1 % variances in intention to use MFAs, suggesting that the examined model has a strong explanatory power regarding MFA users decision making process.\u2

Proceedings XXIII Congresso SIAMOC 2023

Il congresso annuale della Società Italiana di Analisi del Movimento in Clinica (SIAMOC), giunto quest’anno alla sua ventitreesima edizione, approda nuovamente a Roma. Il congresso SIAMOC, come ogni anno, è l’occasione per tutti i professionisti che operano nell’ambito dell’analisi del movimento di incontrarsi, presentare i risultati delle proprie ricerche e rimanere aggiornati sulle più recenti innovazioni riguardanti le procedure e le tecnologie per l’analisi del movimento nella pratica clinica. Il congresso SIAMOC 2023 di Roma si propone l’obiettivo di fornire ulteriore impulso ad una già eccellente attività di ricerca italiana nel settore dell’analisi del movimento e di conferirle ulteriore respiro ed impatto internazionale. Oltre ai qualificanti temi tradizionali che riguardano la ricerca di base e applicata in ambito clinico e sportivo, il congresso SIAMOC 2023 intende approfondire ulteriori tematiche di particolare interesse scientifico e di impatto sulla società. Tra questi temi anche quello dell’inserimento lavorativo di persone affette da disabilità anche grazie alla diffusione esponenziale in ambito clinico-occupazionale delle tecnologie robotiche collaborative e quello della protesica innovativa a supporto delle persone con amputazione. Verrà infine affrontato il tema dei nuovi algoritmi di intelligenza artificiale per l’ottimizzazione della classificazione in tempo reale dei pattern motori nei vari campi di applicazione

GSGS'18 ::3rd Gamification & Serious Game Symposium : health and silver technologies, architecture and urbanism, economy and ecology, education and training, social and politics

The GSGS’18 conference is at the interface between industrial needs and original answers by highlighting the playful perspective to tackle technical, training, ecological, management and communication challenges. Bringing together the strengths of our country, this event provides a solid bridge between academia and industry through the intervention of more than 40 national and international actors. In parallel with the 53 presentations and demos, the public will be invited to participate actively through places of exchange and round tables