The authors of this paper are based at the University of Ulster in Northern Ireland. Darryl Charles specialises in computational intelligence for games and virtual worlds. Michael McNeill is interested in graphics algorithms and interaction within the same context. Therese Charles is currently completing her PhD studies in the area of game based learning, under the supervision of Dave Bustard and Michaela Black, who have an interest in innovative approaches to e-learning and teaching in general. AbstractIt is generally accepted that informative and timely feedback is important to a student's learning experience within higher education. In the study of commercial digital games it has also become increasingly understood that games are particularly good at providing effective feedback of this form to gameplayers. We discuss recent game based learning research that attempts to harness the motivating qualities of digital games to inform the design of educational technology. Results from this research demonstrate student participation and performance can be improved by providing Game-Based Feedback (GBF) to students. The GBF approach awards points to students for the successful completion of tasks throughout a course of study. Points and achievements accumulated over time builds a profile that provides a student with a potentially powerful representation of their educational identity. In this paper, we argue that virtual worlds are particularly suitable for this form of GBF and can further enhance a student's understanding of their educational standing. We outline a Virtual Learning Landscape (VLL) design that is embedded within a multi-user virtual environment, where educational feedback is supplied to students via their avatar and a virtual world's landscape. The core structural principles of the proposed VLL are explained and several examples of the use of the VLL are provided to illustrate the system. IntroductionIn comparison to secondary school, university can be a complex learning experience for students. In particular, students find that they have much more responsibility for their own learning. Degree courses have fewer timetabled classes and class sizes are often significantly larger. Typically, attendance, while encouraged, is not compulsory, and contact time with teachers is much less than they are used to. It may be argued that to be successful on a degree, a student needs to learn how to learn within the university context. They must understand that learning within a university is about understanding the processes and systems that help them build skills and knowledge. It is about forming good learning habits: good attendance, preparing for class, reflection, good communication with peers and teachers, reading around a topic, consistent work ethics, knowing who to go when in trouble, and other implicit institutional expectations. From a university teaching perspective, the focus is naturally placed on the communication of compul-

Stroke is a leading cause of disability, and with the stroke survivor population rising in most countries it is increasingly difficult to provide optimal treatment to patients once they return home. Assistive technology solutions can potentially contribute to meeting demand, and also be cost effective. In this chapter, we consider the design and development of engaging serious virtual reality (VR) games for upper arm stroke rehabilitation. Fundamental design principles are summarised and related to our experience of creating game-based VR rehabilitation. The application of ideas from psychology, particularly behavioural change and flow theory are discussed, as well as related learning and gamification principles. We address how to manage differences between people through design, user profiling, and intelligent dynamic system behaviour, and we also explore how to account for variation in stroke survivor capability and personality. The idea of a hero's journey as a metaphor for stroke recovery is introduced and we discuss how this metaphor may guide system design, its relationship to game design principles, and how patient narratives and embedded stories might support engagement with treatment. An overview of our previous work is summarised and we discuss how our experience and increased knowledge and capability has informed improved approaches to development processes. Finally, our approach is illustrated with reference to a recent EU project.

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In this paper we present a new gamified learning system called Reflex which builds on our previous research, placing greater emphasis on variation in learner motivation and associated behaviour; having a particular focus on gamification typologies. Reflex comprises a browser based 3D virtual world that embeds both learning content and learner feedback. In this way the topography of the virtual world plays an important part in the presentation and access to learning material and learner feedback. Reflex presents information to learners based on their curriculum learning objectives and tracks their movement and interactions within the world. A core aspect of Reflex is its gamification design, with our engagement elements and processes based on Marczewski's eight gamification types [1]. We describe his model and its relationship to Bartle's player types [2] as well as the RAMP intrinsic motivation model [3]. We go on to present an analysis of experiments using Reflex with students on two 2nd year Computing modules. Our data mining and cluster analysis on the results of a gamification typology questionnaire expose variation in learner motivation. The results from a comprehensive tracking of the interactions of learners within Reflex are discussed and the acquired tracking data is discussed in context of gamification typologies and metacognitive tendencies of the learners. We discuss correlations in actual learner behaviour to that predicted by gamified learner profile. Our results illustrate the importance of taking variation in learner motivation into account when designing gamified learning systems.

Purpose – The Leap Motion represents a new generation of depth sensing cameras designed for close range tracking of hands and fingers, operating with minimal latency and high spatial precision (0.01 mm). The purpose of this paper is to develop virtual reality (VR) simulations of three well-known hand-based rehabilitation tasks using a commercial game engine and utilising a Leap camera as the primary mode of interaction. The authors present results from an initial evaluation by professional clinicians of these VR simulations for use in their hand and finger physical therapy practice. Design/methodology/approach – A cross-disciplinary team of researchers collaborated with a local software company to create three dimension interactive simulations of three hand focused rehabilitation tasks: Cotton Balls, Stacking Blocks, and the Nine Hole Peg Test. These simulations were presented to a group of eight physiotherapists and occupational therapists (n=8) based in the Regional Acquired Brain Injury Unit, Belfast Health, and Social Care Trust for evaluation. After induction, the clinicians attempted the tasks presented and provided feedback by filling out a questionnaire. Findings – Results from questionnaires (using a Likert scale 1-7, where 1 was the most favourable response) revealed a positive response to the simulations with an overall mean score across all questions equal to 2.59. Clinicians indicated that the system contained tasks that were easy to understand (mean score 1.88), and though it took several attempts to become competent, they predicted that they would improve with practice (mean score 2.25). In general, clinicians thought the prototypes provided a good illustration of the tasks required in their practice (mean score 2.38) and that patients would likely be motivated to use the system (mean score 2.38), especially young patients (mean score 1.63), and in the home environment (mean score 2.5). Originality/value – Cameras offer an unobtrusive and low maintenance approach to tracking user motion in VR therapy in comparison to methods based on wearable technologies. This paper presents positive results from an evaluation of the new Leap Motion camera for input control of VR simulations or games. This mode of interaction provides a low cost, easy to use, high-resolution system for tracking fingers and hands, and has great potential for home-based physical therapies, particularly for young people.