Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form
D-Scholarship @ Pitt Banner and Links to Homepage

Process and Performance in Human-Robot Teams

Lewis, M and Wang, H and Chien, SY and Velagapudi, P and Scerri, P and Sycara, K (2011) Process and Performance in Human-Robot Teams. Journal of Cognitive Engineering and Decision Making, 5 (2). 186 - 208. ISSN 1555-3434

[img] Plain Text (licence)
Available under License : See the attached license file.
Download (1kB)

Abstract

The authors are developing a theory for human control of robot teams based on considering how control difficulty grows with team size. Current work focuses on domains, such as foraging, in which robots perform largely independent tasks. Such tasks are particularly amenable to analysis because effects on performance and cognitive resources are predicted to be additive, and tasks can safely be allocated across operators because of their independence. The present study addresses the interaction between automation and organization of human teams in controlling large robot teams performing an urban search-and-rescue (USAR) task. Two possible ways to organize operators were identified: as individual assignments of robots to operators, assigned robots, or as a shared pool in which operators service robots from the population as needed. The experiment compares two-person teams of operators controlling teams of 12 robots each in the assigned-robots condition or sharing control of 24 robots in the shared-pool condition using either waypoint control in the manual condition or autonomous path planning in the autonomy condition. Automating path planning improved system performance, but process measures suggest it may weaken situation awareness. © 2011, Human Factors and Ergonomics Society. All rights reserved.

Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lewis, M
Wang, H
Chien, SY
Velagapudi, P
Scerri, P
Sycara, K
Date: 1 January 2011
Date Type: Publication
Journal or Publication Title: Journal of Cognitive Engineering and Decision Making
Volume: 5
Number: 2
Page Range: 186 - 208
DOI or Unique Handle: 10.1177/1555343411409323
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1555-3434
Related URLs:
Date Deposited: 22 Jun 2011 17:50
Last Modified: 02 Feb 2019 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/5897

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com

Actions (login required)

View Item View Item