About Contact Help us

HCI, User Experience, Information Architecture, Usability, and more

“I can't be happy with having everyone else pay for my wonderful source of knowledge!”

---James E. Adkins

Last 3 Donors

1. Stephen J. Kidd

2. Maria Hull

3. Rosemary J. Bennett

...more generous donors

Support us

Funding progress for 2010:

References

Authors

Rajesh P. N. Rao

Printer-friendly

How to cite

Rajesh P. N. Rao

About the author:
No description available of Rajesh P. N. Rao...

ADD DESCRIPTION

← Button will not work: You have not enabled Javascript. How do I enable it?

ADD PUBLICATION

← Button will not work: You have not enabled Javascript. How do I enable it?

SHARE YOUR RESEARCH

← Button will not work: You have not enabled Javascript. How do I enable it?

Publications by Rajesh P. N. Rao (bibliography)

» 2008 «

Edit | Del

Grimes, David, Tan, Desney S., Hudson, Scott E., Shenoy, Pradeep and Rao, Rajesh P. N. (2008): Feasibility and pragmatics of classifying working memory load with an electroencephalograph. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 835-844. Available online

“A reliable and unobtrusive measurement of working memory load could be used to evaluate the efficacy of interfaces and to provide real-time user-state information to adaptive systems. In this paper, we describe an experiment we conducted to explore some of the issues around using an electroencephalograph (EEG) for classifying working memory load. Within this experiment, we present our classification methodology, including a novel feature selection scheme that seems to alleviate the need for complex drift modeling and artifact rejection. We demonstrate classification accuracies of up to 99% for 2 memory load levels and up to 88% for 4 levels. We also present results suggesting that we can do this with shorter windows, much less training data, and a smaller number of EEG channels, than reported previously. Finally, we show results suggesting that the models we construct transfer across variants of the task, implying some level of generality. We believe these findings extend prior work and bring us a step closer to the use of such technologies in HCI research.”

Copyrights may apply

ADD PUBLICATION