How to pronounce my names? NILAVRA BHATTACHARYA (Voice Courtesy: Google Translate)
I study how people find, evaluate, and consume information online, and how people’s information behaviour relates to their 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, EEG, and GSR (which fall under the umbrella of Neuro-Physiological methods) to observe people’s behaviour as they interact with online information. These bio-signals help us to understand, model, and predict various aspects of human information-behaviour, such as relevance-judgement, knowledge-gain, and mental workload. My broader vision is to use these bio-signals as real-time, implicit-feedback mechanisms for next-generation interactive computing systems.
2020.12: My dissertation research proposal: A Longitudinal Study to Understand Learning During Search, is accepted at the ACM CHIIR 2021 Doctoral Consortium.
2020.12: Our workshop proposal on From the Margins to the Centre: Defining New Mission and Vision for HCI Research in South Asia is accepted at ACM CHI 2021.
2020.10: Our ACM CSCW 2020 paper Vision Skills Needed to Answer Visual Questions received an honourable mention award.
2020.09: I successfully passed the three-stage Doctoral Qualifying Procedure at the Texas iSchool.
2020.09: I am co-designing and co-teaching a new Statistics Course: Quantifying User Experience with my doctoral advisor, Dr. Jacek Gwizdka.
2020.08: Our short paper titled Visualizing and Quantifying Vocabulary Learning During Search is accepted at the Visualizing and Quantifying Vocabulary Learning During Search (IWILDS), co-located with ACM CIKM 2020.
2020.08: Virtually presented our CHIIR 2020 paper on combining eye-tracking, computer vision, and information relevance.
2020.08: Our paper titled Vision Skills Needed to Answer Visual Questions is accepted at 2020 ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2020), now online due to COVID-19. Honourable Mention Award.
2020.07: Our paper titled Captioning Images for a Real Use Case is accepted at 2020 European Conference on Computer Vision (ECCV 2020), now online due to COVID-19.
2020.04: Our paper Towards Real-time Webpage Relevance Prediction Using Convex Hull Based Eyetracking Features is accepted at 2020 ACM Symposium on Eye Tracking Research & Applications (ETRA-ETWEB 2020) at Stuttgart, Germany (meeting cancelled due to COVID-19).
2019.12: Our paper Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks is accepted at 2020 ACM Conference on Human Information Interaction Retrieval (CHIIR 2020) at Vancouver, Canada (meeting cancelled due to COVID-19).
2019.07: Our paper titled Why Does a Visual Question Have Different Answers? is accepted at 2019 IEEE Internation Conference on Computer Vision (ICCV 2019) at Seoul, Korea.
2019.03: Our paper Analyzing Gaze Transition Behavior Using Bayesian Mixed Effects Markov Models is accepted at 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA 2019) at Denver, Colorado, USA. Best Short Paper Award.
2018.11: Our paper Measuring Learning During Search: Differences in Interactions, Eye-Gaze, and Semantic Similarity to Expert Knowledge is accepted at 2019 ACM Conference on Human Information Interaction Retrieval (CHIIR 2019) at Glasgow, Scotland, UK.
2018.05 – 08: Summer internship in Berlin, Germany at QuoData GmbH (DAAD RISE Professional Praktikant).
2018.04: Our paper Relating Eye-Tracking Measures With Changes In Knowledge on Search Tasks is accepted at 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA 2018) at Warsaw, Poland.
2018.03: Awarded the DAAD RISE Professional 2018 Scholarship.
The institutions I have called ‘Home’ over the years:
M. H. Memorial School
ICSE (Std X), ISC (Std XII)
Apr ’99 – Mar ’11