descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2023Embargo end date: 01 Jan 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Pervasive Computing, volume 22, pages 9-18 (issn: 1536-1268, eissn: 1558-2590,

Authors: James L. Crowley; Joëlle Coutaz; Jasmin Grosinger; Javier Vazquez-Salceda; Cecilio Angulo; Alberto Sanfeliu; Luca Iocchi; +1 Authors

doi: 10.1109/mprv.2022.3208321 , 10.48550/arxiv.2212.08659

arXiv: http://arxiv.org/abs/2212.08659

handle: 2117/381675 , 11573/1662508

A Hierarchical Framework for Collaborative Artificial Intelligence

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Abstract

We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the information that must be shared, with each level building on capabilities provided by lower levels. We review research paradigms at each level, with a description of classical engineering-based approaches and modern alternatives based on machine learning, illustrated with a running example using a hypothetical personal service robot. We discuss cross-cutting issues that occur at all levels, focusing on the problem of communicating and sharing comprehension, the role of explanation and the social nature of collaboration. We conclude with a summary of research challenges and a discussion of the potential for economic and societal impact provided by technologies that enhance human abilities and empower people and society through collaboration with Intelligent Systems.

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Keywords

FOS: Computer and information sciences, Computer Science - Artificial Intelligence, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Computer Science - Human-Computer Interaction, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Human-Computer Interaction (cs.HC), [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, Computer Science - Robotics, Agents intel·ligents (Programari), Machine learning, Robot sensing systems, Aprenentatge automàtic, Intelligent systems, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], Computer Science - Multiagent Systems, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Intelligent agents (Computer software), Collaboration; Behavioral sciences; Task analysis; Robots; Intelligent systems; Robot sensing systems; Protocols, Collaboration, 004, Behavioral sciences, Artificial Intelligence (cs.AI), [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], Task analysis, Robots, Robotics (cs.RO), Protocols, Multiagent Systems (cs.MA)

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