This is your brain on interfaces: enhancing usability testing with functional near-infrared spectroscopy

Authors:
Leanne M. Hirshfield;Rebecca Gulotta;Stuart Hirshfield;Sam Hincks;Matthew Russell;Rachel Ward;Tom Williams;Robert Jacob
Affiliations:
Hamilton College, Clinton, New York, USA;Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Hamilton College, Clinton, New York, USA;Hamilton College, Clinton, New York, USA;Hamilton College, Clinton, New York, USA;Hamilton College, Clinton, New York, USA;Hamilton College, Clinton, New York, USA;Tufts University, Medford, Massachusetts, USA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2011

Citing 8
Cited 4

Tool for accurately predicting website navigation problems, non-problems, problem severity, and effectiveness of repairs

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information search: the intersection of visual and semantic space

CHI '05 Extended Abstracts on Human Factors in Computing Systems
Using a low-cost electroencephalograph for task classification in HCI research

UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Feasibility and pragmatics of classifying working memory load with an electroencephalograph

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Focus on driving: how cognitive constraints shape the adaptation of strategy when dialing while driving

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Brain measurement for usability testing and adaptive interfaces: an example of uncovering syntactic workload with functional near infrared spectroscopy

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines

Proceedings of the 22nd annual ACM symposium on User interface software and technology

Trust in human-computer interactions as measured by frustration, surprise, and workload

FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
Brainput: enhancing interactive systems with streaming fnirs brain input

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Investigation of fNIRS brain sensing as input to information filtering systems

Proceedings of the 4th Augmented Human International Conference
Using fNIRS brain sensing to evaluate information visualization interfaces

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

This project represents a first step towards bridging the gap between HCI and cognition research. Using functional near-infrared spectroscopy (fNIRS), we introduce tech-niques to non-invasively measure a range of cognitive workload states that have implications to HCI research, most directly usability testing. We present a set of usability experiments that illustrates how fNIRS brain measurement provides information about the cognitive demands placed on computer users by different interface designs.