Improving outcomes of virtual reality based protocol execution
through a reduction of cognitive disintermediation caused by non-instinctive
haptic input devices and cognitively inconsistent modal model interruptions
A human brain assigned the
task of completing a protocol is in State when it is processing through the
modes that comprise the model. The more
that cognitive resources are in alignment with processing the modes, and the
fewer State interruptions encountered by the brain, the greater the likelihood
of positive outcomes in model completion.
When models are
developed for the completion of tasks using computer systems, the model is
necessarily interspersed with tasks only indirectly relevant to the model that
yields task completion. However, the
author of the model describing the task, will assume that the user is able to
consciously insert the non-model related technology tasks as needed. In fact, the fluid ability to follow a Modal
Model protocol, while in addition processing the necessary(but indirect)
insertion of technology tasks requires a great deal of cognitive resource,
whether conscious or unconscious to the person performing the task. As may be expected, the relative cognitive
premium required to complete the model using technology, is a function of the
performers proficiency with the tool, the intuitiveness of the tool, and the
overall cognitive resources of the performer.
In our
application of virtual reality technology as a medium for education,
communication, and task completion, we are motivated to render contexts for
model execution that minimize the cognitive premium required to perform tasks
that are not described in the model necessary for task completion. In our study we look to articulate the impact
on model outcomes when cognitive resources are preserved for model mode
consideration.
We will present
a virtual reality environment that has been optimized for modal model
completion and minimization of the cognitive premium required to interface with
the technology. Using virtual
manifestations of the user(as a whole, or in part), minimization of proprioception,
and replacement of inefficient haptic input devices, users of our environments
will improve model outcomes through preservation and refocusing of cognitive
resources. We will deploy these
methodologies into the contexts of education, business, and gerontechnology.
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