Group Cognition and Collaborative AI

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

Significant advances in artificial intelligence suggest that we will be using intelligent agents on a regular basis in the near future. This chapter discusses group cognition as a principle for designing collaborative AI. Group cognition is the ability to relate to other group members’ decisions, abilities, and beliefs. It thereby allows participants to adapt their understanding and actions to reach common objectives. Hence, it underpins collaboration. We review two concepts in the context of group cognition that could inform the development of AI and automation in pursuit of natural collaboration with humans: conversational grounding and theory of mind. These concepts are somewhat different from those already discussed in AI research. We outline some new implications for collaborative AI, aimed at extending skills and solution spaces and at improving joint cognitive and creative capacity.
Original languageEnglish
Title of host publication Human and Machine Learning
Subtitle of host publicationVisible, Explainable, Trustworthy and Transparent
Pages293 - 313
Number of pages20
Edition1
ISBN (Electronic)978-3-319-90403-0
Publication statusPublished - 2018
MoE publication typeA3 Part of a book or another research book

Publication series

NameHuman–Computer Interaction Series
PublisherSpringer
ISSN (Electronic)1571-5035

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  • Cite this

    Koch, J., & Oulasvirta, A. (2018). Group Cognition and Collaborative AI. In Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent (1 ed., pp. 293 - 313). (Human–Computer Interaction Series).