Nilavra Bhattacharya


I study how people find, evaluate, and consume information online, and how Information Retrieval systems (e.g. search engines) can be adapted to foster human-learning and knowledge-acquisition. This interdisciplinary research direction is known as Searching as Learning (SAL), and spans Human-Computer Interaction (HCI), Interactive Information Retrieval (IIR), and Neuro-Information Science, among others.

I use eye-tracking to observe people's behaviour as they interact with information. Bio-signals like this and others (e.g. EEG, GSR, etc.) help us to understand, model, and predict various aspects of human information-behaviour, such as relevance-judgement, mental workload, and knowledge-gain. My broader vision is to use these bio-signals as real-time, implicit-feedback mechanisms for next-generation interactive computing systems.

I am part of the Information eXperience lab (IX Lab), and I am advised by Dr. Jacek Gwizdka.


B.E. in Computer Science & Technology, 2015, Indian Institute of Engineering Science & Technology

Areas Of Specialization

Human-Computer Interaction
Eye Tracking
Search as Learning
Relevance Judgement
Interactive Information Retrieval