shaul eizikovich human interface devices

Working with older adults and people with Parkinson's disease as frequent target groups that can benefit from tailored activities, explorations and comparative studies that investigate the design, acceptance, and effectiveness of MGH are presented.

This thesis therefore focuses on establishing and augmenting theory for adaptability and adaptivity in human-computer interaction in the context of MGH. Despite a growing amount of research on specific methods for adaptivity, general considerations on human-computer interaction with adaptable and adaptive MGH are rare. Automatic adaptivity and efficient manual adaptability are thus major concerns for the design and development of MGH. The need for applying adjustments on complex sets of parameters can be overwhelming for patient-players and even trained professionals. For most serious applications in health, more fine-grained and far-reaching adjustments are required. Difficulty settings in games are typically limited to few discrete tiers. Motion-based games for health (MGH) are being discussed in research and industry for their ability to play a supportive role in health, by offering motivation to engage in treatments, objective insights on status and development, and guidance regarding treatment activities. Physical activity plays a major role both in prevention and in the treatment of afflictions linked to a modern sedentary lifestyle and improvements on life expectancy, for example though the application area of physiotherapy. Furthermore it generated more positive affect and motivated more investment of effort in players, suggesting that positive reinforcement in neurofeedback games may provide a better and more effective neurofeedback training experience. We showed that positive reinforcement was more effective in encouraging players to keep their brain activity regulated. We investigate whether using positive reinforcement is more successful than negative reinforcement through the design and evaluation of the experience and efficacy of a custom neurofeedback training game. Most neurofeedback games use negative reinforcement to guide players - i.e., a barrier to progressing in the game is removed when players achieve a desirable state - which is considered to be less effective than reinforcing behaviour through positive feedback when players do well. Neurofeedback training can reduce symptoms related to epileptic seizures, attention deficits, and Asperger's Syndrome, and often uses games to motivate participation over the long term needed to see improvements.

Shaul eizikovich human interface devices