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

Date: 
Thursday, June 8, 2006
Resource Type:
Conference Proceedings | Reference Materials
Environment Type: 
Media and Technology, Games, Simulations, and Interactives, Public Programs
Audience: 
Museum/ISE Professionals | Scientists | Evaluators
Discipline: 
Computing and information science | Education and learning science | Engineering | Technology
Organization:
Carnegie-Mellon University, University of Pittsburgh
Description: 

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.

Citation
DOI:
10.1109/ROMAN.2006.314395
Publication Name: 
Proceedings of IEEE International Symposium on Robot and Human Interactive Communication
Page Number: 
59

Team Members

Kristin StubbsKristin StubbsAuthor
Illah NourbakhshIllah NourbakhshAuthor

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