Human Centric Systems (HCS), are populations of human beings thinking, deciding, negotiating and acting.  Customers in a bank, employees of organizations, voters in a constituency, students at a school, commuters in a train station, resisdents of a town or village or suburb, shoppers at a mall, traders in a exchange. A nation’s economy, the global economy is a human centric system. There is also the world of the Internet where hundreds of millions of people either as themselves or as avatars, shop, interact, tweet, comment and socially connect. There is also the virtual-world of gaming where people fight for supremacy with human like androids. And increasingly in the world of cinema the line between the ‘real’ and ‘artificial’ whether humans or beings with human like behaviour is getting blurred.
It is often vital for us to understand a HCS system from a social, commercial, political, economic, security, governance perspective. Consider for example:

HCS are difficult to understand or analyze given complexities of individual and group behaviour in a context. While the social sciences have created theories and models of human and group behaviour, not much of that work has been reflected in computer science. Artificial Intelligence related disciplines have traditionally looked and derived computational models of what can be termed the aptitudinal aspects of being human. There has been less focus on computational models of the behavioural and social aspects of humanity. For example, how emotions affect task performance, models of the biases in human thinking and its impacts in a specific context, models of personality and how they impact functioning, how humans behave in groups and how groups of humans behave.

The Human Centric Systems Research Group (HCSRG) is a new research program which aims to focus on such issues and derive computational models, simulations, techniques, tools and solutions that will enable HCS to be better understood, analyzed, designed or debugged.
HCSRG will draw upon a wide range of disciplines and expertise areas: Multi-agent based simulation, machine learning, evolutionary computing, game theory, behavioural psychology particularly decision making biases, personality models, complex / dynamical systems, affective computing, performance engineering, web science, organizational behaviour, artificial economics and several others.

Some of the representative problems the group may focus on are: Understanding personality and human factor dynamics in complex software projects, Design of physical spaces considering BAU and emergency scenarios, Modeling and simulation of product adoption by market segment and Organizational behaviour.

(Contact Person: Vivek Balaraman – vivek.balaraman at tcs dot com)