TY - JOUR
T1 - Intelligent Decision-Support in Virtual Reality Healthcare & Rehabilitation
AU - Lewis Brooks, Anthony
N1 - The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought.
The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business andthe humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions.
High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.
PY - 2011/11/1
Y1 - 2011/11/1
N2 - Intelligent Decision-Support (IDS) mechanisms to improve an ‘in-action’ facilitator intervention model and ‘on-action’ evaluation and refinementmodel are proposed for contemporary Virtual Reality Healthcare & Rehabilitation training. The ‘Zone of Optimized Motivation’ (ZOOM)model and the ‘Hermeneutic Action Research Recursive Reflection’ model have emerged from a body of virtual reality research called SoundScapes.The work targets all ages and all abilities through gesture-control of responsive multimedia within Virtual Interactive Space (VIS). VIS is an interactive information environment at the core of an open-ended custom systemwhere unencumbered residual function manipulates selected audiovisualand robotic feedback that results in afferent-efferent neural feedback loopclosure. Such loop closure is hypothesized as the reason why such interactivesystem environments are so effective in the context of rehabilitationand healthcare. The approach is adaptive across the range of dysfunction,from the most profoundly disabled to traditionally developed. This proposalconsiders enhancing VIS data exchange, i.e. human input informationmatched to responsive content, through dynamic decision-support of adjustmentof difficulty encountered. To date facilitator role has includedmanual parameter manipulation of interface to affect an invisible activezone quality (typically, sensitivity or location) and/or content quality. Inactionhuman adjustment-decisions are according to interpretation of userstate and engagement. Questioned is whether automated support for suchdecisions is feasible so that dynamic difficulty adjustment (DDA) of thatwhich is encountered by the user is considered optimal to goal. Core issuesare presented to detail and justify the concept. Findings are related to currenttrends with conclusions reflecting on potential impact.
AB - Intelligent Decision-Support (IDS) mechanisms to improve an ‘in-action’ facilitator intervention model and ‘on-action’ evaluation and refinementmodel are proposed for contemporary Virtual Reality Healthcare & Rehabilitation training. The ‘Zone of Optimized Motivation’ (ZOOM)model and the ‘Hermeneutic Action Research Recursive Reflection’ model have emerged from a body of virtual reality research called SoundScapes.The work targets all ages and all abilities through gesture-control of responsive multimedia within Virtual Interactive Space (VIS). VIS is an interactive information environment at the core of an open-ended custom systemwhere unencumbered residual function manipulates selected audiovisualand robotic feedback that results in afferent-efferent neural feedback loopclosure. Such loop closure is hypothesized as the reason why such interactivesystem environments are so effective in the context of rehabilitationand healthcare. The approach is adaptive across the range of dysfunction,from the most profoundly disabled to traditionally developed. This proposalconsiders enhancing VIS data exchange, i.e. human input informationmatched to responsive content, through dynamic decision-support of adjustmentof difficulty encountered. To date facilitator role has includedmanual parameter manipulation of interface to affect an invisible activezone quality (typically, sensitivity or location) and/or content quality. Inactionhuman adjustment-decisions are according to interpretation of userstate and engagement. Questioned is whether automated support for suchdecisions is feasible so that dynamic difficulty adjustment (DDA) of thatwhich is encountered by the user is considered optimal to goal. Core issuesare presented to detail and justify the concept. Findings are related to currenttrends with conclusions reflecting on potential impact.
U2 - 10.1007/978-3-642-16095-0
DO - 10.1007/978-3-642-16095-0
M3 - Journal article
SN - 1860-949X
VL - 326
SP - 143
EP - 169
JO - Studies in Computational Intelligence
JF - Studies in Computational Intelligence
ER -