  Over the last decade, exoskeletons have had an extensive impact on different
disciplines and application domains such as assisted living, military,
healthcare, firefighting, and industries, on account of their diverse and
dynamic functionalities to augment human abilities, stamina, potential, and
performance in a multitude of ways. In view of this wide-scale applicability
and use-cases of exoskeletons, it is crucial to investigate and analyze the
public opinion, views, and perspectives towards exoskeletons which would help
to interpret the effectiveness of the underlining human-robot, human-machine,
and human-technology interactions. The Internet of Everything era of today's
living, characterized by people spending more time on the internet than ever
before, holds the potential for the investigation of the same by mining and
analyzing relevant web behavior, specifically from social media, that can be
interpreted to understand public opinion, views, and perspectives towards a
topic or set of topics. Therefore, this paper aims to address this research
challenge related to exoskeletons by utilizing the potential of web
behavior-based Big Data mining in the modern-day Internet of Everything era. As
Twitter is one of the most popular social media platforms on a global scale -
characterized by both the number of users and the amount of time spent by its
users on the platform - this work focused on investigating web behavior on
Twitter to interpret the public opinion, views, and perspectives towards
exoskeleton technology. A total of approximately 20,000 tweets related to
exoskeletons were used to evaluate the effectiveness of the proposed approach.
The results presented and discussed uphold the efficacy of the proposed
approach to interpret and analyze the public opinion, views, and perspectives
towards exoskeletons from the associated tweets.
