Technology Review - Published By MIT
Advertisement

Musings from a Mouse

Continued from page 1

By Anita Chabria

August 15, 2005

smaller text tool iconmedium text tool iconlarger text tool icon

 

Instead, the curving mouse trajectories seemed to reveal an ongoing process, one that Spivey sometimes compares to a state of quantum superposition -- in this case, a mind existing in a "grey" area.

While Spivey, who co-authored the study with Marc Grosjean of the University of Dortmund, Germany, and Gunther Knoblich of Rutgers University, believes their latest work could eventually lead to a new model for understanding cognition, he admits that it's a small step.

And a hot-button topic.

 “It’s quite a big debate right now [over the best model of language acquisition],” he says. “There are a lot of traditional cognitive scientists who are essentially digging their heels.”

Jim Magnuson, an assistant psychology professor at the University of Connecticut and a researcher at the Haskins Laboratories in New Haven, CT, which specializes in biological bases of speech and language, thinks their work shows promise. But he also lays out the position of some critics: that the mouse movement "is potentially much more under conscious control than an eye movement.”

Measuring eye movements is the traditional method of cognitive studies -- and a costly and complex one. As Magnuson points out, humans average 2 to 4 eye movements per second, “and you are not aware of most of them, but with a mouse movement, it’s quite intended.”

Rather than discounting Spivey's use of a mouse, though, Magnuson feels that it could be a “methodological innovation,” as well as leading to less-expensive experiments.

“Eye tracking has been an important tool in usability testing for websites,” Magnuson says. “Now you could end up using mouse tracking much the same way.”

Finally, besides hinting at new understandings of human cognition and new kinds of computer-assisted research and design, Spivey's study might have implications for a field somewhere in the middle: artificial intelligence. As Spivey points out, biological neural networks might be a better model for creating AI applications, such as language-recognition systems, than binary-based computers.

 “If you want to invent a mind, you probably don’t want to be using a computer format," Spivey says.

Comments

Log In

Forgot your password?     Register »
Advertisement

Videos

Making 3D Maps on the Move
Technology Review November/December 2009

Current Issue

Natural Gas Changes the Energy Map
The United States has vast supplies of this cleaner fossil fuel. But how should we use it?
Featured Content
Sponsored by:
White Papers

Twelve ways to reduce costs with SQL Server 2008
Find out how to reduce costs and get more efficient

Download

Total Economic Impact of SQL Server 2008 Upgrade
Forrester reports on increasing productivity and management capabilities

Download 

Achieving Cost and Resource Savings with UC
How Office Communications Server R2 and Exchange Server can make your business smarter and more efficient

Download 

The Compelling Case for Conferencing
Read how you can improve workload support and find IT efficiencies

Download

How Windows Server 2008 R2 Helps Optimize IT and Save you Money
Read how you can improve workload support and find IT efficiencies

Download

Windows Server 2008 R2 Hyper-V Live Migration
See how Windows Server 2008 R2 and Hyper-V enable virtualization and Live Migration

Download
Advertisement
Subscribe to Technology Review's daily e-mail update. Enter your e-mail address

TECHNOLOGY RESOURCES
Advertisement
MIT Massachusetts Institute of Technology © 2009 Technology Review. All Rights Reserved.