Automation reliability and decision strategy: A sequential decision making model for automation interaction

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The question of how people make use of automation to support their decision making is becoming increasingly important. As computers provide ever greater input to the collection, analysis and interpretation of data, so they are more likely to be partners in decision making. However, when automation makes recommendations that the human disagrees with or that might be based on erroneous analysis, then this could result in a change in decision strategy. It is not simply a matter of ignoring or rejecting the recommendation but rather a matter of deciding how best to make use of the automation's output. By modeling information search and decision strategies under different levels of information reliability, we demonstrate that it makes sense to adapt decision strategy to the information context.

Original languageEnglish
Title of host publication62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PublisherHuman Factors and Ergonomics Society Inc.
Pages144-148
Number of pages5
ISBN (Electronic)9781510889538
DOIs
Publication statusPublished - 2018
Event62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018 - Philadelphia, United States
Duration: 1 Oct 20185 Oct 2018

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume1
ISSN (Print)1071-1813

Conference

Conference62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
Country/TerritoryUnited States
CityPhiladelphia
Period1/10/185/10/18

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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