Cognitive evaluation of human-robot systems: A method for analyzing cognitive change in human-robot systems

June 8, 2006 | Media and Technology, Public Programs

To help answer questions about the behavior of participants in human-robot systems, we propose the Cognitive Evaluation of Human-Robot Systems (CEHRS) method based on our work with the Personal Exploration Rover (PER). The CEHRS method consists of six steps: (1) identify all system participants, (2) collect data from all participant groups, including the system’s creators, (3) analyze participant data in light of system-wide goals, (4) answer targeted questions about each participant group to determine the ﬂow of knowledge, information, and inﬂuence throughout the system, (5) look for inconsistencies in the knowledge and beliefs of different participant groups, and (6) make recommendations for improvement. We offer this comprehensive, human-centered evaluation method as a starting point for future work in understanding cognitive change in human-robot interactions.

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TEAM MEMBERS

Kristin Stubbs

Author

Carnegie-Mellon University

Debra Bernstein

Author

University of Pittsburgh

Kevin Crowley

Author

University of Pittsburgh

Illah Nourbakhsh

Author

Carnegie-Mellon University

Citation

DOI : 10.1109/ROMAN.2006.314395

Publication Name: Proceedings of IEEE International Symposium on Robot and Human Interactive Communication

Page Number: 59

Resource Type: Reference Materials

Discipline: Computing and information science | Education and learning science | Engineering | Technology

Audience: Museum/ISE Professionals | Scientists | Evaluators

Environment Type: Media and Technology | Games, Simulations, and Interactives | Public Programs

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