The current research aims to understand how human operators effectively team withurban search robot teammates in a dynamic and complex task environment. With that in mind, weexamined how shared cognition and restricted language capabilities impact performance of human dyadicteams using a simulated Minecraft task environment. In this human dyadic team, an internal teammate(comparable to robot) identifies the location of victims while navigating inside a game environment thatreflects a collapsed building; and an external teammate (comparable to operator) sees their teammate'sactions from a different screen and guides them through the environment, tracking the location of victimson a map as they go. In order to examine the effects of language and shared cognition, a two by two designwas chosen: (1) in the communication manipulation, participants are either able to communicate usingnatural language or the internal participant’s communication is limited to three-word utterances; and (2) inthe shared cognition manipulation, either the internal participant is made fully aware of the externalparticipant’s restricted representation of the environment and inaccurate map or the internal is unaware ofthese challenges.
展开▼
