Mind Music Machine Lab

trim.ise.vt.edu

The Mind Music Machine (tri-M) Lab is a transdisciplinary research group based in Industrial and Systems Engineering and Computer Science at Virginia Tech and Cognitive Science and Computer Science at Michigan Tech. Mind (cognition and emotion) is our ultimate research theme. Music (sound and speech) is our language and methodology to work with. Machinery (computers and systems) is our research tool and an analogy of mind. The research goal of the lab is understanding the mechanisms of the human mind and designing better interactions between people and technologies. To this end, we approach our problems at the psychological level using empirical experiments, the neurological level using neuroergonomic methods, and the computational level using mathematical modeling. We use various instruments: computer vision technologies (motion capture system), display wall, digital audio workstation, driving simulators, neurophysiological equipment, VR equipment, robots, and drones.

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The Mind Music Machine (tri-M) Lab is a transdisciplinary research group based in Industrial and Systems Engineering and Computer Science at Virginia Tech and Cognitive Science and Computer Science at Michigan Tech. Mind (cognition and emotion) is our ultimate research theme. Music (sound and speech) is our language and methodology to work with. Machinery (computers and systems) is our research tool and an analogy of mind. The research goal of the lab is understanding the mechanisms of the human mind and designing better interactions between people and technologies. To this end, we approach our problems at the psychological level using empirical experiments, the neurological level using neuroergonomic methods, and the computational level using mathematical modeling. We use various instruments: computer vision technologies (motion capture system), display wall, digital audio workstation, driving simulators, neurophysiological equipment, VR equipment, robots, and drones.

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Country

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State

Virginia

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City (Headquarters)

Blacksburg

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Employees

11-50

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Potential Decision Makers

  • Undergraduate Researcher

    Email ****** @****.com
    Phone (***) ****-****

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