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Erik Paluka, M.Sc. in Computer Science

Human-Computer Interaction & Information Visualization

Reading Comprehension in Mobile Devices
Employing Natural Language Processing Techniques
in an Educational Tablet Application

September 2012 – March 2013

Technologies: Python, JavaScript, D3.js, HTML/CSS, Natural Language Toolkit (NLTK)

Lab Project Page:

Interaction for reading comprehension in mobile devices
Rafael Veras, Erik Paluka, Meng-Wei Chang, Vivian Tsang, Fraser Shein, Christopher Collins
In Proceedings of the 16th international conference on Human-computer interaction with
mobile devices & services (MobileHCI '14)

Working with an industry research partner (Quillsoft Ltd.), we designed and developed a web-based reading interface for tablets designed to support vocabulary acquisition, text comprehension, and reduction of reading anxiety. Touch interaction is leveraged to allow direct replacement of words with synonyms, easy access to word definitions and seamless dialogue with a personalized model of the reader’s vocabulary. We employed natural language processing (NLP) techniques to provide the learner with appropriate and contextually aware synomyms.

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