University of Massachusetts Amherst

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Eye Tracking: Methods & Applications

DS Tea
December 7, 4:00pm

Presentations:

Professor Adrian Staub (Department of Psychological and Brain Sciences)
Title: Using eye movement data to investigate human language comprehension
Abstract: This talk will provide a high-level overview of how eye movement recording is used in research on the processing of written and spoken language. Since the 1970s, recording of eye movements in reading has been widely used by cognitive psychologists and psycholinguists to investigate on-line language comprehension. Since the 1990s, recording of eye movements in the 'visual world' paradigm has been similarly useful in research on spoken language comprehension. I will discuss how eye movement data are collected, analyzed, and interpreted using these methods.

Addison Mayberry (PhD Student in Computer Science advised by Prof. Deepak Ganesan)
Title: Lightweight Neural Nets for Effective Data Collection in Eye Tracking
Abstract: Most of the heavy lifting in data science is done after the data has already been collected, but the same machine learning techniques that are used for processing big data can be used to improve the methods by which we acquire that data in the first place. In this talk I will give a brief overview of the iShadow platform, developed here at UMass, which is a low-power mobile eye tracking device built around a very small but efficient neural network model and simple computer vision techniques. I will also briefly discuss the uses of eye tracking and its relevance to data scientists, as well as give a demo of the iShadow system itself.