Teammates and Tele-bots

Abstract

Do designers benefit from thinking of computers as being teammates, partners, and collaborators? When is it helpful and when is there a danger in assuming human–human interaction is a good model for human–robot interaction? Innovation goal researchers and developers want to build tele-bots that extend human capabilities, while providing superhuman perceptual and motor support, thereby boosting human performance, while allowing human–human teamwork to succeed. The combined strategy could be to use science goal algorithms to implement automatic internal services that support the innovation goal of human control. This approach is implemented in the many car-driving technologies such as lane following, parking assist, and collision avoidance. The idea is to give users the control they desire by putting “AI inside,” which provides valuable services to users based on machine and deep learning algorithms. In this way users have the benefit of AI optimizations, an understanding of what is happening, a clear model of what will happen next, and the chance to take control if needed.