The purpose of this paper is to review the evolution of computer-assisted interpreting(CAI) and to examine the state of the art in CAI-related research and development. Pointing to the lacunae in CAI research in Korea, the current paper presents the argument that calls for a new perspective supporting human-machine collaboration in interpreting. It looks into the trends and developments related to CAI, mainly driven by research efforts conducted in Europe. In particular, CAI tools are described according to their use in interpreting phases and generation. The main part of the paper is focused on presenting research aimed at developing the latest generation of CAI tools integrated with automatic speech recognition (ASR) and/or machine translation (MT) systems. Latest research on integrated CAI models is presented in four categories: proof-of-concept research with manually built systems; the use of general-purpose, commercial ASR and/or MT programs in the interpreting process; the advancement of existing CAI tools with the integration of ASR/MT engines; and finally, the development of a dedicated CAI system equipped with an ASR engine that can be adapted to the specific domains of interpreting sessions.