Intelligence Amplification Framework for Enhancing Scheduling Processes

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.

[1]  Md Mahmudul Hasan,et al.  A hybrid approach for decision making to detect breast cancer using data mining and autonomous agent based on human agent teamwork , 2014, 2014 17th International Conference on Computer and Information Technology (ICCIT).

[2]  Ana Cristina,et al.  AGUIA: Agents Guidance for Intelligence Amplification in Goal Oriented Tasks , 2010, 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

[3]  Jeffrey M. Bradshaw,et al.  Enhancing decision-making by leveraging human intervention in large-scale sensor networks , 2015, 2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision.

[4]  Kenneth O. Stanley,et al.  A novel human-computer collaboration: combining novelty search with interactive evolution , 2014, GECCO.

[5]  John Annett.  Hierarchical Task Analysis , 2003 .

[6]  Milos Jovanovic,et al.  White-box decision tree algorithms: a pilot study on perceived usefulness, perceived ease of use, and perceived understanding , 2013 .

[7]  Prince Mayurank Singh.  Developing a Service Oriented IT Platform for Synchromodal Transportation , 2014, OTM Workshops.

[8]  Maria-Eugenia Iacob,et al.  Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times , 2016 .

[9]  Samir Chatterjee,et al.  A Design Science Research Methodology for Information Systems Research , 2008 .

[10]  J. C. R. Licklider,et al.  Man-Computer Symbiosis , 1960 .

[11]  G. M. te Brake,et al.  Synchro Mania - Design and evaluation of a serious game creating a mind shift in transport planning , 2015 .

[12]  Maria-Eugenia Iacob,et al.  Synchromodal Transport Planning at a Logistics Service Provider , 2016 .

[13]  David P. Williams,et al.  On Human Perception and Automatic Target Recognition: Strategies for Human-Computer Cooperation , 2014, 2014 22nd International Conference on Pattern Recognition.

[14]  J. Munkres.  ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .

[15]  Frank L. Greitzer,et al.  Neo-Symbiosis: The Next Stage in the Evolution of Human Information Interaction , 2007, Int. J. Cogn. Informatics Nat. Intell..