Human-machine interaction

Data inizio
17 aprile 2019
Durata (mesi) 
Scienze Umane
Responsabili (o referenti locali)
Ceschi Andrea , Sartori Riccardo , Tommasi Francesco

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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Partecipanti al progetto

Andrea Ceschi
Professore associato
Riccardo Sartori
Professore associato
Francesco Tommasi
Professore a contratto
Aree di ricerca coinvolte dal progetto
Formazione e organizzazioni
work and organizational psychology
Titolo Autori Anno
Theories for Computing Prosocial Behavior Costantini, Arianna; Scalco, Andrea; Sartori, Riccardo; Mas Tur, Elena; Ceschi, Andrea 2019
Advanced Modeling Methods for Studying Individual Differences and Dynamics in Organizations: Introduction to the Special Issue Ceschi, Andrea; Sartori, Riccardo; Guastello, Sj 2018
Application of Psychological Theories in Agent-Based Modeling: The Case of the Theory of Planned Behavior Scalco, Andrea; Ceschi, Andrea; Sartori, Riccardo 2018
The pursuit of happiness: A model of group formation Scalco, Andrea; Ceschi, Andrea; Sartori, Riccardo 2017
Compassion and Prosocial Behavior. Is it Possible to Simulate them Virtually? Ceschi, Andrea; Scalco, Andrea; Dickert, Stephan; Sartori, Riccardo 2015
Cooperate or Defect? How an Agent Based Model Simulation on Helping Behavior Can Be an Educational Tool Ceschi, Andrea; Dorina, Hysenbelli; Sartori, Riccardo; Tacconi, Giuseppe 2014