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.
|Title of host publication||62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018|
|Publisher||Human Factors and Ergonomics Society Inc.|
|Number of pages||5|
|Publication status||Published - 2018|
|Event||62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018 - Philadelphia, United States|
Duration: 1 Oct 2018 → 5 Oct 2018
|Name||Proceedings of the Human Factors and Ergonomics Society|
|Conference||62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018|
|Period||1/10/18 → 5/10/18|
Bibliographical notePublisher Copyright:
© 2018 Human Factors an Ergonomics Society Inc.. All rights reserved.
ASJC Scopus subject areas
- Human Factors and Ergonomics