  Power grids are becoming more complex to operate in the digital age given the
current energy transition to cope with climate change. As a result, real-time
decision-making is getting more challenging as the human operator has to deal
with more information, more uncertainty, more applications, and more
coordination. While supervision has been primarily used to help them make
decisions over the last decades, it cannot reasonably scale up anymore. There
is a great need for rethinking the human-machine interface under more unified
and interactive frameworks. Taking advantage of the latest developments in
Human-Machine Interface and Artificial Intelligence, we expose our vision of a
new assistant framework relying on an hypervision interface and greater
bidirectional interaction. We review the known principles of decision-making
driving our assistant design alongside with its supporting assistance
functions. We finally share some guidelines to make progress towards the
development of such an assistant.
