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- Diving into a decade of games for health research: a systematic reviewPublication . Silva, Paula Alexandra; Bermúdez i Badia, Sergi; Cameirão, Mónica S.Recent years have been characterised by a rising interest in using enter tainment computing to monitor, maintain, and improve human health. This is observed in many systems and applications that leverage the benefits of a playful and enjoyable experience to provide a technology-enabled health intervention. This paper reviews one decade of papers (679) published at the intersection of health, entertainment and technology to determine trends, studies’ characteristics, type of solutions, domains of application and study purposes. Results show that there is a growing body of research in the area, with the majority of studies provid ing solutions for rehabilitation and addressing motor conditions related to stroke and/or fitness. Where half of the solutions reported are custom made, the bulk of those studies is performed with the purpose of evaluating the solutions pro posed or validating their efficacy. In 80% of the cases, the studies are performed with subjects from the target population with sample sizes that have been steadily increasing over the years.
- Virtual reality for safe testing and development in collaborative robotics: challenges and perspectivesPublication . Bermúdez i Badia, Sergi; Silva, Paula Alexandra; Branco, Diogo; Pinto, Ana; Carvalho, Carla; Menezes, Paulo; Almeida, Jorge; Pilacinski, ArturCollaborative robots (cobots) could help humans in tasks that are mundane, dangerous or where direct human contact carries risk. Yet, the collaboration between humans and robots is severely limited by the aspects of the safety and comfort of human operators. In this paper, we outline the use of extended reality (XR) as a way to test and develop collaboration with robots. We focus on virtual reality (VR) in simulating collaboration scenarios and the use of cobot digital twins. This is specifically useful in situations that are difficult or even impossible to safely test in real life, such as dangerous scenarios. We describe using XR simulations as a means to evaluate collaboration with robots without putting humans at harm. We show how an XR setting enables combining human behavioral data, subjective self-reports, and biosignals signifying human comfort, stress and cognitive load during collaboration. Several works demonstrate XR can be used to train human operators and provide them with augmented reality (AR) interfaces to enhance their performance with robots. We also provide a first attempt at what could become the basis for a human–robot collaboration testing framework, specifically for designing and testing factors affecting human–robot collaboration. The use of XR has the potential to change the way we design and test cobots, and train cobot operators, in a range of applications: from industry, through healthcare, to space operations.