  Systematic literature reviews (SLRs) are at the heart of evidence-based
research, setting the foundation for future research and practice. However,
producing good quality timely contributions is a challenging and highly
cognitive endeavor, which has lately motivated the exploration of automation
and support in the SLR process. In this paper we address an often overlooked
phase in this process, that of planning literature reviews, and explore under
the lenses of cognitive process augmentation how to overcome its most salient
challenges. In doing so, we report on the insights from 24 SLR authors on
planning practices, its challenges as well as feedback on support strategies
inspired by recent advances in cognitive computing. We frame our findings under
the cognitive augmentation framework, and report on a prototype implementation
and evaluation focusing on further informing the technical feasibility.
