Audrey Girouard

E: agirouard@gmail.com
T: 1-617-909-3194

Dept. of Computer Science
Halligan Hall
161 College Ave
Tufts University
Medford, MA 02155


Adaptive Interface using fNIRS
We use functional Near Infrared Spectroscopy (fNIRS), a new non-invasible brain imagery device, as an additional input to an interface. These new brain-computer interfaces could be used to evaluate new interfaces, or create interfaces that adapt to the user's mental workload, or emotions, for example.

Exploring brain signals using fNIRS

Barbecue
Mental Workload
UIST 2007
Emotions Difficulty Level
INTERACT 2009
Reading words


Presented at UIST 2007, CHI 2009, HCII 2009, INTERACT 2009, UIST 2009.
[website] Human Computer Interaction, Brain Computer Interfaces
started in 2006
Brain, Body and Bytes: Psychophysiological User Interaction
The human brain and body are prolific signal generators. Recent technologies and computing techniques allow us to measure, process and interpret these signals. We can now infer such things as cognitive and emotional states, to create adaptive systems and gain an understanding of user experience. In this workshop, we aim to bring together researchers from fields such as HCI, interaction design, cognitive science, psychophysiology, game research, and BCI.

A CHI 2010 Workshop.
[website] Human Computer Interaction
2009-2010


Reality Based Interfaces
We propose the notion of Reality-Based Interaction (RBI) as a unifying concept that ties together a large subset of emerging human-computer interaction styles.

Presented at CHI 2008.
[website] Human Computer Interaction
2006, 2007, 2008
SmartBlocks
Tangible Blocks that help children learn Volume and Surface Area

Presented at TEI 2007.
[website] Human Computer Interaction, Tangible User Interfaces
Spring 2006
Leave-one-out Scoring
A new method for collecting information about motifs from any motif discovery program

Presented at CIBCB 2006.
Computational Biology
Spring/Summer 2006
Lessons for decompiling an embodied cognitive model
We decompiled different Soar models into Herbal. We propose a "decompilation" process as a standard means for evaluating high level behavior modeling languages with respect to their low level equivalents.
Cognitive Science
Spring 2006
What is the Next Generation of Human-Computer Interaction?
CHI 2006 Workshop
[website] Human Computer Interaction
Spring 2006