Expanding the Scope — Cognitive Robotics Meets NeuroIS

Abstract

Cognitive Robotics aims to develop robots that can perform tasks, learn from experiences, and adapt to new situations using cognitive skills. Rooted in neuroscience theories, Cognitive Robotics provides a unique opportunity for NeuroIS researchers to theorize and imagine intelligent autonomous agents as natural cognitive systems. By translating Cognitive Robotics methods and architectures into the NeuroIS into the 2 × 2 design science research matrix, we intend to help researchers gain deeper insights into how humans perceive and interact with their environment. These insights may not only improve cognitive architectures but may also enable a better design and evaluation of user-centric NeuroIS systems, safer test propositions, and better self-adaptable systems that can effectively collaborate with humans in various settings.