Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Al-Zubidy, A., Carver, J.C.: Identification and prioritization of SLR search tool requirements: an SLR and a survey. Empirical Softw. Eng. 24(1) (2019)
Alotaibi, Y.: Business process modelling challenges and solutions: a literature review. J. Intell. Manuf. 27(4), 701–723 (2016)
Baez, M., Daniel, F., Casati, F.: Conversational web interaction: proposal of a dialog-based natural language interaction paradigm for the web. In: Følstad, A., et al. (eds.) CONVERSATIONS 2019. LNCS, vol. 11970, pp. 94–110. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39540-7_7
Báez, M., et al.: Gelee: cooperative lifecycle management for (composite) artifacts. In: Baresi, L., Chi, C.-H., Suzuki, J. (eds.) ICSOC/ServiceWave-2009. LNCS, vol. 5900, pp. 645–646. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10383-4_50
Barukh, M.C., Benatallah, B.: ProcessBase: a hybrid process management platform. In: Franch, X., Ghose, A.K., Lewis, G.A., Bhiri, S. (eds.) ICSOC 2014. LNCS, vol. 8831, pp. 16–31. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45391-9_2
Beheshti, A., Benatallah, B., Sheng, Q.Z., Schiliro, F.: Intelligent knowledge lakes: the age of artificial intelligence and big data. In: U, L.H., Yang, J., Cai, Y., Karlapalem, K., Liu, A., Huang, X. (eds.) WISE 2020. CCIS, vol. 1155, pp. 24–34. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-3281-8_3
Beheshti, A., Benatallah, B., Tabebordbar, A., Motahari-Nezhad, H.R., Barukh, M.C., Nouri, R.: Datasynapse: a social data curation foundry. Distrib. Parallel Databases 37(3), 351–384 (2019)
Cognini, R., Corradini, F., Gnesi, S., Polini, A., Re, B.: Business process flexibility-a systematic literature review with a software systems perspective. Inf. Syst. Front. 20(2), 343–371 (2018)
Créquit, P., Trinquart, L., Yavchitz, A., Ravaud, P.: Wasted research when systematic reviews fail to provide a complete and up-to-date evidence synthesis: the example of lung cancer. BMC Med. 14(1), 8 (2016)
Krivosheev, E., Casati, F., Baez, M., Benatallah, B.: Combining crowd and machines for multi-predicate item screening. In: Proceedings of the ACM on Human-Computer Interaction (CSCW), vol. 2, pp. 1–18 (2018)
Palomino, M., Dávila, A., Melendez, K.: Methodologies, methods, techniques and tools used on SLR elaboration: a mapping study. In: Mejia, J., Muñoz, M., Rocha, Á., Peña, A., Pérez-Cisneros, M. (eds.) CIMPS 2018. AISC, vol. 865, pp. 14–30. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-01171-0_2
Schiliro, F., et al.: iCOP: IoT-enabled policing processes. In: Liu, X., et al. (eds.) ICSOC 2018. LNCS, vol. 11434, pp. 447–452. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17642-6_42
Yaeli, A., Kofman, A., Dubinsky, Y.: Software development governor: automating governance in software development environments. In: 2009 31st International Conference on Software Engineering-Companion Volume, pp. 413–414. IEEE (2009)
Zamanirad, S., Benatallah, B., Barukh, M.C., Casati, F., Rodriguez, C.: Programming bots by synthesizing natural language expressions into API invocations. In: 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 832–837. IEEE (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Barukh, M.C. et al. (2021). Cognitive Augmentation in Processes. In: Aiello, M., Bouguettaya, A., Tamburri, D.A., van den Heuvel, WJ. (eds) Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future. Lecture Notes in Computer Science(), vol 12521. Springer, Cham. https://doi.org/10.1007/978-3-030-73203-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-73203-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73202-8
Online ISBN: 978-3-030-73203-5
eBook Packages: Computer ScienceComputer Science (R0)