A VR-enhanced rollover car simulator and edutainment application for increasing seat belt use awareness

Most countries have active road safety policies that seek the objective of reducing deaths in traffic accidents. One of the main factors in this regard is the awareness of the safety measures, one of the most important being the correct usage of the seat belt, a device that is known to save thousands of lives every year. The presented work shows a VR-enhanced edutainment application designed to increase awareness on the use of seat belts. For this goal, a motorized rollover system was developed that, synchronized with a VR application (shown in a head-mounted display for each user inside a real car), rolls over this car with up to four passengers inside. This way, users feel the sensations of a real overturn and therefore they realize the consequences and the results of not wearing a seat belt. The system was tested for a month in the context of a road safety exhibition in Dammam, Saudi Arabia, one of the leading countries in car accidents per capita. More than 500 users tested and assessed the usefulness of the system. We measured, before and after the rollover experience, the perception of risk of not using the seat belt. Results show that awareness regarding the use of seat belts increases very significantly after using the presented edutainment tool

Addressing the Occlusion Problem in Augmented Reality Environments with Phantom Hollow Objects

Occlusion handling is essential to provide a seamless integration of virtual and real objects in AR applications. Different approaches have been presented with a variety of technologies, environment conditions and methods. Among these methods, 3D model-based occlusion approaches have been extensively used. However, these solutions could be too time-consuming in certain situations, since they must render all the occlusion objects even though they are invisible. For this reason, we propose an inverse 3D model-based solution for handling occlusions, designed for those AR applications in which virtual objects are placed inside a real object with holes or windows. With this restriction, the occlusion problem could be solved by rendering the geometry of transparent/hollow objects instead of rendering the opaque geometry. The method has been tested in a real case study with an augmented car in which the virtual content is shown in the interior of the vehicle. Results show that our method outperforms the traditional method, proving that this approach is an efficient option for solving the occlusion problem in certain AR applications

Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour

Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating this to long term mention of wearable devices. Previous studies within this area are discussed. We also consider a new approach where data is used to support instead of motivate, through monitoring and logging to encourage reflection. Based on issues highlighted, we then make recommendations on the direction in which future work could be most beneficial

An Overview of Self-Adaptive Technologies Within Virtual Reality Training

This overview presents the current state-of-the-art of self-adaptive technologies within virtual reality (VR) training. Virtual reality training and assessment is increasingly used for five key areas: medical, industrial & commercial training, serious games, rehabilitation and remote training such as Massive Open Online Courses (MOOCs). Adaptation can be applied to five core technologies of VR including haptic devices, stereo graphics, adaptive content, assessment and autonomous agents. Automation of VR training can contribute to automation of actual procedures including remote and robotic assisted surgery which reduces injury and improves accuracy of the procedure. Automated haptic interaction can enable tele-presence and virtual artefact tactile interaction from either remote or simulated environments. Automation, machine learning and data driven features play an important role in providing trainee-specific individual adaptive training content. Data from trainee assessment can form an input to autonomous systems for customised training and automated difficulty levels to match individual requirements. Self-adaptive technology has been developed previously within individual technologies of VR training. One of the conclusions of this research is that while it does not exist, an enhanced portable framework is needed and it would be beneficial to combine automation of core technologies, producing a reusable automation framework for VR training

Game-Based Learning, Gamification in Education and Serious Games

The aim of this book is to present and discuss new advances in serious games to show how they could enhance the effectiveness and outreach of education, advertising, social awareness, health, policies, etc. We present their use in structured learning activities, not only with a focus on game-based learning, but also on the use of game elements and game design techniques to gamify the learning process. The published contributions really demonstrate the wide scope of application of game-based approaches in terms of purpose, target groups, technologies and domains and one aspect they have in common is that they provide evidence of how effective serious games, game-based learning and gamification can be

Measuring the effectiveness of virtual training : a systematic review

The amount of research on virtual reality learning tools increases with time. Despite the diverse environments and theoretical foundations, enough data have been accumulated in recent years to provide a systematic review of the methods used. We pose ten questions concerning the methodological aspects of these studies. We performed a search in three databases according to the PRISMA guidelines and evaluated several characteristics, with particular emphasis on researchers' methodological decisions. We found an increase over time in the number of studies on the effectiveness of VR-based learning. We also identified shortcomings related to how the duration and number of training sessions are reported. We believe that these two factors could affect the effectiveness of VR-based training. Furthermore, when using the Kirkpatrick model, a significant imbalance can be observed in favor of outcomes from the ‘Reaction’ and ‘Learning’ levels compared to the ‘Behavior’ and ‘Results’ levels. The last of these was not used in any of the 330 reviewed studies. These results highlight the importance of research on the effectiveness of VR training. Taking into account the identified methodological shortcomings will allow for more significant research on this topic in the future