Abstract
Carbon dioxide (CO2) and other greenhouse gases are the main causes of global climate
change. This phenomenon impacts natural and human systems around the world through the rising
global average surface temperature, extreme weather, changes in precipitation patterns, rising sea
levels, and ocean acidification. However, this concept is alien to most people in developing countries.
They are also unaware of the connection between energy efficiency and climate change. This dearth
of knowledge makes them opt for highly inefficient appliances. Internet of Things (IoT)-based
visualisation platforms for tracking household carbon footprints (CFs) have been seen as a good
concept for combating this global phenomenon; however, there are potential challenges and ethical
restrictions that must be addressed when implementing platforms for tracking household CFs. It
is also vital to consider the user’s viewpoint and current technological state to ensure successful
implementation and adoption. As the literature in this area is rapidly developing, it is crucial to
revisit it occasionally. This paper presents a systematic review of IoT-based visualisation platforms
for household CFs, including their definitions, characteristics, decision-making processes, policy
development, related services, benefits, challenges, and barriers to implementation. Finally, it offers
suggestions for future research.