[en] 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 2x2 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.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations
Disciplines :
Computer science Management information systems
Author, co-author :
LIMA BAIMA, Renan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
Berto, Letícia; University of Campinas (UNICAMP), São Paulo, Brazil > Institute of Computing (IC) > LaRoCS
ROTH, Tamara ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > FINATRAX > Team Gilbert FRIDGEN ; Sam M. Walton College of Business, University of Arkansas, Fayetteville, USA
External co-authors :
yes
Language :
English
Title :
Expanding the Scope - Cognitive Robotics Meets NeuroIS
Publication date :
2024
Journal title :
Lecture Notes in Information Systems and Organisation
Publisher :
Springer Nature Switzerland AG, Cham, Switzerland
Pages :
8
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Development Goals :
8. Decent work and economic growth 9. Industry, innovation and infrastructure
This research was funded in part by the Luxembourg National Research Fund (FNR), grant reference 14783405. Moreover, we would like to acknowledge the support of the European Union (EU) within its Horizon 2020 programme, project MDOT (Medical Device Obligations Taskforce), Grant agreement 814654. For the purpose of open access, the authors have applied a Creative Commons Attribution 4.0 International (CC BY 4.0) license to any Author Accepted Manuscript version arising from this submission.
