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.
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References
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007)
Licklider, J.C.: Man-computer symbiosis. In: IRE Transactions on Human Factors Electron, pp. 4–11 (1960)
Griffith, D., Greitzer, F.L.: Neo-symbiosis: the next stage in the evolution of human information interaction. Int. J. Cogn. Inf. Nat. Intell. (IJCINI) 1, 39–52 (2007)
Williams, D.P., Couillard, M., Dugelay, S.: On human perception and automatic target recognition: strategies for human-computer cooperation. In: 2014 22nd International Conference on Pattern Recognition (ICPR), pp. 4690–4695 (2014)
Garcia, A.C.B.: AGUIA: agents guidance for intelligence amplification in goal oriented tasks. In: 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), pp. 338–344 (2010)
Casini, E., Depree, J., Suri, N., Bradshaw, J.M., Nieten, T.: Enhancing decision-making by leveraging human intervention in large-scale sensor networks. In: 2015 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), pp. 200–205 (2015)
Woolley, B.G., Stanley, K.O.: A novel human-computer collaboration: combining novelty search with interactive evolution. In: Proceedings of the 2014 Conference on Genetic and Evolutionary Computation, pp. 233–240 (2014)
Delibasic, B., Vukicevic, M., Jovanovic, M.: White-box decision tree algorithms: a pilot study on perceived usefulness, perceived ease of use, and perceived understanding. Int. J. Eng. Edu. 293, 674–687 (2013)
Ahmed, A.-I., Hasan, M.M.: A hybrid approach for decision making to detect breast cancer using data mining and autonomous agent based on human agent teamwork. In: 2014 17th International Conference on Computer and Information Technology (ICCIT), pp. 320–325 (2014)
Mes, M.R., Iacob, M.E.: Synchromodal transport planning at a logistics service provider. In: Zijm, H., Klumpp, M., Clausen, U., ten Hompel, M. (eds.) Logistics and Supply Chain Innovation, pp. 23–36. Springer, Heidelberg (2016)
Singh, P.M.: Developing a service oriented IT platform for synchromodal transportation. In: On the Move to Meaning Ful Inrternet Systems OTM 2014 Workshop, pp. 30–36 (2016)
Dobrkovic, A., Iacob, M.-E., van Hillegersberg, J., Mes, M., Glandrup, M.: Towards an approach for long term AIS-based prediction of vessel arrival times. In: ten Hompel, M., Clausen, U., Klumpp, M., Zijm, H. (eds.) Logistics and Supply Chain Innovation, pp. 281–294. Springer, Cham (2016)
Buiel, E., Visschedijk, G., Lebesque, L., Lucassen, I., Riessen, B.v., Rijn, A.v., et al.: Synchro mania-design and evaluation of a serious game creating a mind shift in transport planning, In: 46th International Simulation and Gaming Association Conference, ISAGA 2015, Kyoto, Japan, 18–25 July 2015, pp. 1–12 (2015)
Munkres, J.: Algorithms for the assignment and transportation problems. J. Soc. Ind. Appl. Math. 5, 32–38 (1957)
Annett, J.: Hierarchical task analysis. Handbook Cogn. Task Des. 2, 17–35 (2003)
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Dobrkovic, A., Liu, L., Iacob, ME., van Hillegersberg, J. (2016). Intelligence Amplification Framework for Enhancing Scheduling Processes. In: Montes y Gómez, M., Escalante, H., Segura, A., Murillo, J. (eds) Advances in Artificial Intelligence - IBERAMIA 2016. IBERAMIA 2016. Lecture Notes in Computer Science(), vol 10022. Springer, Cham. https://doi.org/10.1007/978-3-319-47955-2_8
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DOI: https://doi.org/10.1007/978-3-319-47955-2_8
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