Chien, SY and Wang, H and Lewis, M and Mehrotra, S and Sycara, K
(2011)
Effects of alarms on control of robot teams.
In: UNSPECIFIED.
Abstract
Annunciator driven supervisory control (ADSC) is a widely used technique for directing human attention to control systems otherwise beyond their capabilities. ADSC requires associating abnormal parameter values with alarms in such a way that operator attention can be directed toward the involved subsystems or conditions. This is hard to achieve in multirobot control because it is difficult to distinguish abnormal conditions for states of a robot team. For largely independent tasks such as foraging, however, self-reflection can serve as a basis for alerting the operator to abnormalities of individual robots. While the search for targets remains unalarmed the resulting system approximates ADSC. The described experiment compares a control condition in which operators perform a multirobot urban search and rescue (USAR) task without alarms with ADSC (freely annunciated) and with a decision aid that limits operator workload by showing only the top alarm. No differences were found in area searched or victims found, however, operators in the freely annunciated condition were faster in detecting both the annunciated failures and victims entering their cameras' fields of view. Copyright 2011 by Human Factors and Ergonomics Society, Inc. All rights reserved.
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Details
Item Type: |
Conference or Workshop Item
(UNSPECIFIED)
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Status: |
Published |
Creators/Authors: |
Creators | Email | Pitt Username | ORCID |
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Chien, SY | | | | Wang, H | | | | Lewis, M | | | | Mehrotra, S | | | | Sycara, K | | | |
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Date: |
28 November 2011 |
Date Type: |
Publication |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Journal or Publication Title: |
Proceedings of the Human Factors and Ergonomics Society |
Page Range: |
434 - 438 |
Event Type: |
Conference |
DOI or Unique Handle: |
10.1177/1071181311551089 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Information Sciences > Information Science |
Refereed: |
Yes |
ISBN: |
9780945289395 |
ISSN: |
1071-1813 |
Date Deposited: |
15 Jun 2012 19:05 |
Last Modified: |
02 Feb 2019 16:58 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/12400 |
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