Human-machine interaction

Starting date
April 17, 2019
Duration (months)
Human Sciences
Managers or local contacts
Ceschi Andrea

Human-computer interaction is now a central element in the lives of individuals and organizations. This interaction has been revolutionized in recent years by advances in artificial intelligence (AI). AI is a computing technology that enables machines to operate with highly advanced computational quality, capable of performing complex actions and “reasoning,” learning from mistakes, and performing functions previously reserved for human intelligence. Artificial intelligence is mainly used in business to perform tasks that would take a long time for humans. The research world has adapted to this progress. Psychological, social, and organizational phenomena are increasingly complex to study, and ethical constraints often exacerbate the difficulty. New research methods have emerged to enable these studies to be carried out and advanced, in line with the new resources made available by AI in the last decade. These computational social sciences allow researchers to use technology to simulate the behavior of individuals or large groups.
The current line of research uses the tool of computational simulation, a technique used to study how processes at the micro level affect outcomes at the macro level (Hughes et al., 2012). Applied to the social sciences, the value of this tool lies in its ability to study social processes or emergent phenomena that would be too complex to reproduce in reality. Simulation is achieved by reconstructing a virtual context that can generate individual and social behaviors through unique programming languages and software (e.g., NetLogo, SeSam, Repast). The APRESO Research Center adheres to this strand by promoting the development of computational models that study social processes within organizations and allow the formulation of new theories (and their applications) through computational simulations of human behavior.

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Gilbert, N., & Troitzsch, K. G. (2005). Simulation for the social scientist (2nd ed.). Maidenhead, United Kingdom: Open University Press.

Project participants

Andrea Ceschi
Associate Professor
Research areas involved in the project
Formazione e organizzazioni
work and organizational psychology


Research facilities