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Carnegie Mellon Robotics Institute

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Abstract

A survey designed to measure subject perception of benefit, ease of use, usefulness, collaboration, disorientation, flow, and assistance was used to evaluate two releases of an integrated machine learning cognitive assistance system. The design and validity of this evaluation survey is discussed in the context of an information overload experiment.

Notes

Sponsor: Defense Advanced Research Projects Agency (DARPA)

Grant ID: Contract No. NBCHD030010

Associated Center(s) / Consortia: Vision and Autonomous Systems Center, Quality of Life Technology Center, and Center for Integrated Manfacturing Decision Systems

Associated Lab(s) / Group(s): Intelligent Coordination and Logistics Laboratory and Human-Robot Interaction Group

Associated Project(s): Reflective Agents with Distributed Adaptive Reasoning

Number of pages: 5

Text Reference

Aaron Steinfeld, Pablo-Alejandro Quinones, John Zimmerman, S. Rachael Bennett, and Daniel Siewiorek, "Survey measures for evaluation of cognitive assistants," NIST Performance Metrics for Intelligent Systems Workshop (PerMIS), 2007.

BibTeX Reference

@inproceedings{Steinfeld_2007_5839,
   author = "Aaron Steinfeld and Pablo-Alejandro Quinones and John Zimmerman and S. Rachael Bennett and Daniel Siewiorek",
   title = "Survey measures for evaluation of cognitive assistants",
   booktitle = "NIST Performance Metrics for Intelligent Systems Workshop (PerMIS)",
   year = "2007",
}

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