Cognitive augmentation in processes

Moshe Chai Barukh*, Shayan Zamanirad, Marcos Baez, Amin Beheshti, Boualem Benatallah, Fabio Casati, Lina Yao, Quan Z. Sheng, Francesco Schiliro

*Corresponding author for this work

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

6 Citations (Scopus)


We present a vision for the next generation of process technology based on cognitive augmentation. Starting from current process technology, we show how by augmenting layers of cognitive intelligence to combine advances in machine-automation, crowdsourcing and more importantly adaptation and reasoning, we can advance support for emerging requirements of highly changing environments. We believe the challenges lie in the synergy between human and machine, in understanding how to orchestrate and combine their contributions. This vision paper sets forth a roadmap for future research by introducing a framework for cognitive augmentation, identifying the relevant research and technologies, and discussing its application amidst real-world use cases.

Original languageEnglish
Title of host publicationNext-gen digital services
Subtitle of host publicationa retrospective and roadmap for service computing of the future
EditorsMarco Aiello, Athman Bouguettaya, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages15
ISBN (Electronic)9783030732035
ISBN (Print)9783030732028
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12521 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Bots
  • Cognitive computing
  • Processes


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