5.4.2. Challenges faced by VR/AR safety assessment and evaluation
The following challenges faced by assessment and evaluation pro
cess should also be considered in the future studies: (1) Human per
ception and cognition have their own characteristics and features, and
the consideration of this issue by developers during hardware and in
terface design is vital. So the evaluation methods should be established
basing on the performance of mass human experiments. (2) In addition,
the user's ability to recognize and understand the data/models in VR
environments is a central issue for evaluating. Tasks such as browsing
and searching require a specifific cognitive activity. So it is necessary to
give training on the ability and knowledge of system functions to
workers before start the evaluation process. (3) Also, there can be issues
related to difffferent users' reactions with regard to visualized objects
depending on their personal and cultural backgrounds. In this sense,
simplicity in information visualization in the evaluation process has to
be achieved in order to avoid misperceptions and cognitive overload.
(4) Psychophysical studies and theories would provide answers and
methods to questions regarding perception and would give the oppor
tunity to improve performance evaluation by motion prediction in
Fig. 11.A Taxonomy for Evaluation Methods Used in VR/
Automation in Construction 86 (2018) 150–162
159construction safety application.
The following research questions are proposed in this section:
?How to make a detailed comparison and benchmarking of experi
enced vs. inexperienced crews, individuals, trainers, operators,
training centers, companies in VR/AR-CS?
How to make the evaluation process/method (i.e., reward systems
for safe performance during training sessions) more automatic?
How to evaluate VR/AR systems in the aspects of sensor type, signal
轉(zhuǎn)載自journal homepage:www.elsevier.com/locate/autcon
