Human Interaction and Emerging Technologies (IHIET 2022), Vol. 68, 2022, 510–517
https://doi.org/10.54941/ahfe1002771
Quantum Reality Perspectives in Dyadic
Interactions
Angelo Compierchio and Phillip Tretten
Operation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå,
Sweden
ABSTRACT
A Virtual Reality (VR) system is introduced in a modified Observe, Orient, Decide and
Act (OODA) model for supporting information sharing and situational awareness in a
complex environment. At the same time the cooperation and interaction with tech-
nical systems provided organizational process support, guidance, and monitoring
of system critical functions. The OODA-VR combination enabled bringing together
theoretical discussion and practicality responses in dyadic interactions. With the inte-
gration of simulation and reality metaphors the reasoning process takes advantage
of environmental and cognitive knowledge constructed from complexity tasks. From
an interaction viewpoint a more holistic view has been performed in relation to the
problem space to articulate the thinking and decision-making process. The provision
of the VR interaction capability has been extended to reshape quantum formalism
and reality and complement the measurement collapse theory. This baseline has
been explored through the Theory of Decoherence and Everettian quantum mechanics
representing different measurements outcomes on a system.
Keywords: Virtual reality, Observe-orient-decide-act, Dyadic interactions, Complexity, Collapse
theory, Decoherence, Quantum mechanics
INTRODUCTION
“So far as the laws of mathematics refer to reality, they are not certain. And
so far, as they are certain, they do not refer to reality” (Einstein, 1921).
This definition drawn from history is reported to introduce the contex-
tual human performance subject in dynamic situations where problems are
constantly changing and require a flow of actions or decisions to reach a
target or a goal (Brehmer, 1990). In addition, decisions need to be taken in
real time to establish common and coordinated actions. This objective requi-
res enhanced abilities to work and communicate technical solutions about a
task at hand. In situations where decision makers require sharing the same
information, successful communication is the most important facet among
cooperation in different working environments. In reality interpretation cle-
arly shape the expectations of a situation where meaning is either negotiated
or constructed (Clark, 1996). The concept of Human Machine Interaction
(HMI) begins with Fitts list of statements citing a comparison table with spe-
cific functions performed by human or a machine (Fitts, 1954). The allocation
of tasks to the human and machine are continuously represented within the
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