  Conversational search (CS) has recently become a significant focus of the
information retrieval (IR) research community. Multiple studies have been
conducted which explore the concept of conversational search. Understanding and
advancing research in CS requires careful and detailed evaluation. Existing CS
studies have been limited to evaluation based on simple user feedback on task
completion. We propose a CS evaluation framework which includes multiple
dimensions: search experience, knowledge gain, software usability, cognitive
load and user experience, based on studies of conversational systems and IR. We
introduce these evaluation criteria and propose their use in a framework for
the evaluation of CS systems.
