The purpose of the TCS HCS research program is to derive a computational framework for multi-factor models of human behavior, especially in the context of the Information Technology and Business Process Services industries. This framework will help understand the drivers behind behaviors in organizations, marketplaces, and societies, and forecast the future trajectory of actions and decisions, as well as design interventions that could change the trajectory of outcomes to a desired state. The interest lies in answering both if-what questions such as why a situation has developed, and what-if questions.
Building multi-factor and fine grained computational models of human behavior require an extensive corpus of behavioral data. Techniques in data mining, machine learning, and statistics are also relevant to this framework. Further, data anonymity and confidentiality are important aspects, which can be addressed using advanced identity masking techniques. The research lab overcomes the limitations of traditional research approaches in this area by applying a multi-disciplinary approach which combines techniques in data collection and analysis with reasoning over behavioral data. This enables human behavior in multiple domains of interest to be better understood, analyzed, and forecast with growing levels of accuracy within a computational framework. To achieve this goal, the lab is guided by the paradigm of eScience, which relies on generation of new knowledge using computational power.
The research program draws from the body of work in multiple fields such as:
- Computational Sciences: AI (Reasoning), network theory, game theory, analytics, data fusion, simulation and modeling, data sensing (bio-sensing, geo-sensing, behavior recognition from voice and video)
- Mathematics and Statistics: Modeling, statistical techniques, algorithms
- Psychology and Sociology: Personality studies, affect, group behavior
- Management Sciences: Organizational behavior, organizational cultures
- Economics: Mental accounting, behavioral economics
- Design: Purposeful game design
- Interdisciplinary: Computational Organization Theory (COTs), choice architecture, computational social science
Current Research Problems and Projects:
- Human Behavior Repository: Collecting, categorizing, and creating a repository of situations, personas, and their behaviors in those situations
- Human Factor Studies: Conducting studies within various work environments to understand the as-is situation including causal factors and design interventions
- Behavior Data Collection Techniques: Evaluating multimodal methods of data collection including but not limited to field studies, sensors, data mining, game play in virtual worlds, as well as mining earlier research
- Games for Behavior Study and Interventions: Designing engaging games that have a purpose of behavior capture as well as behavior change
- Mental Accounting: Accounting for time, effort and money – how human beings perceive, allocate, and consume these resources
- Behavioral Relations Search and Retrieval, Behavior Composition, and Simulation: Retrieving behavioral relations matching characteristics of simulation entities, composing behavior that is a compound of these entities, and executing these in a simulated environment
The HCS research program has a multidisciplinary team, with researchers with backgrounds in AI, economics, sociology, management (organizational behavior), design, and computational sciences.
Recent Papers and Publications
Connect with us:
- Join the TCS’ HCS Research Team (Researchers/Aspirants). Research career opportunities
- Research Collaboration (Academic Institutes, Startups): COIN™
- Sabbaticals: We welcome Researchers working in academic institutes.
- Participate in Human Data Collection (Social science field researchers)
- Project Internship Opportunities (Masters or PhD students) : Research and Development Intership
- Curious Individuals (especially youngsters)
Contact email@example.com (Please mention ‘HCS Research’ in the subject)
This group is headed by Vivek Balaraman.