Power systems are becoming more complex to operate in the digital age. 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 Interactions and Artificial intelligence, we share the vision
of a new assistant framework relying on an hypervision interface and greater
bidirectional interactions. We review the known principles of decision-making
that drives the assistant design and supporting assistance functions we
present. We finally share some guidelines to make progress towards the
development of such an assistant
