1. Facilitative effect of EEG Biofeedback on Social Decision Making through Mu Suppression.

- Doctoral Topic: Manju Kumari

  

In everyday life – and especially while interacting with others – decision-making situations are highly complex and unstructured. Social Decision Making is about processing the social information, especially its encoding, storage, retrieval, and its application in making decisions in social situations. Several large population studies have shown that social impairment is continuous in epidemiologic samples, where autism appears at negative extreme and typical developed (TD) individuals at another end. The present study will answer for different aspects involved in Social impairment field and their solution.

 

 

  2. Agency of Self and Environmental Control and Attribution process in Strategic Interaction Decision Making.

- Manju Kumari, Roshan Lal Dewangan & Ankita Sharma

 

The information revolution has changed our lives and still, it is doing so every day and at increasing pace. What does this fast track life is doing to us as a human being, and how we are dealing with this ambiguity and uncertainty, is a big question. The dynamics of society; the way people are interacting with each other is changing. Hence the sense of agency in terms of control over the environment and control on self may felt endangered when the decisions have to rely on understanding ‘others’’ thoughts and actions (theory of mind) and especially when this ‘other’ may be a computer. Therefore, considering this situation in mind present study attempts to understand the role of self and environmental control on attribution process in strategic interaction decision making (SIDM). SIDM is taking the decision on the basis of what others may be thinking. We were looking for (1) the relationship between need for control and capacity to control with the attribution style, (2) the relationship between need for control and capacity to control with the attribution in SIDM and (3) the relationship between attribution of success and failure in SIDM when the other participants are either a human or computer.