Intelligent Decision-Support in Virtual Reality Healthcare & Rehabilitation

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Abstract

Intelligent Decision-Support (IDS) mechanisms to improve an ‘in-action’ facilitator intervention model and ‘on-action’ evaluation and refinement
model 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 system
where unencumbered residual function manipulates selected audiovisual
and robotic feedback that results in afferent-efferent neural feedback loop
closure. Such loop closure is hypothesized as the reason why such interactive
system environments are so effective in the context of rehabilitation
and healthcare. The approach is adaptive across the range of dysfunction,
from the most profoundly disabled to traditionally developed. This proposal
considers enhancing VIS data exchange, i.e. human input information
matched to responsive content, through dynamic decision-support of adjustment
of difficulty encountered. To date facilitator role has included
manual parameter manipulation of interface to affect an invisible active
zone quality (typically, sensitivity or location) and/or content quality. Inaction
human adjustment-decisions are according to interpretation of user
state and engagement. Questioned is whether automated support for such
decisions is feasible so that dynamic difficulty adjustment (DDA) of that
which is encountered by the user is considered optimal to goal. Core issues
are presented to detail and justify the concept. Findings are related to current
trends with conclusions reflecting on potential impact.
Original languageEnglish
Book seriesStudies in Computational Intelligence
Volume326
Pages (from-to)143-169
Number of pages26
ISSN1860-949X
DOIs
Publication statusPublished - 1 Nov 2011

Bibliographical note

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.

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