@inproceedings{c542785d970a4d88a1c8afabc3b09f6a,
title = "Intelligence amplification framework for enhancing scheduling processes",
abstract = "The scheduling process in a typical business environment consists of predominantly repetitive tasks that have to be completed in limited time and often containing some form of uncertainty. The intelligence amplification is a symbiotic relationship between a human and an intelligent agent. This partnership is organized to emphasize the strength of both entities, with the human taking the central role of the objective setter and supervisor, and the machine focusing on executing the repetitive tasks. The output efficiency and effectiveness increase as each partner can focus on its native tasks. We propose the intelligence amplification framework that is applicable in typical scheduling problems encountered in the business domain. Using this framework we build an artifact to enhance scheduling processes in synchromodal logistics, showing that a symbiotic decision maker performs better in terms of efficiency and effectiveness.",
keywords = "METIS-319234, IR-102378",
author = "Andrej Dobrkovic and Luyao Liu and Iacob, {Maria Eugenia} and {van Hillegersberg}, Jos",
year = "2016",
doi = "10.1007/978-3-319-47955-2_8",
language = "English",
isbn = "978-3-319-47954-5",
publisher = "Springer",
pages = "89--100",
booktitle = "Advances in Artificial Intelligence - IBERAMIA 2016",
address = "Germany",
note = "Ibero-American Conference on Artificial Intelligence : Advances in Artificial Intelligence - IBERAMIA 2016 ; Conference date: 01-01-1900",
}