How to pronounce my names? NILAVRA BHATTACHARYA (Voice Courtesy: Google Translate)
I study how people find, evaluate, and consume information online; and how we can improve this overall information experience. 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.
My research interests span Human-Computer Interaction (HCI), Interactive Information Retrieval (IIR), and Neuro-Information Science.
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 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.
2017.12: Our paper is accepted at 52nd Annual Convention of Computer Society of India (CSI 2017). Best Paper Runner-Up Award.
The institutions I have called ‘Home’ over the years:
M. H. Memorial School
ICSE (Std X), ISC (Std XII)
Apr ’99 – Mar ’11