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How effective feedback for training depends on learner resources and task demands

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

Abstract

Systems now may collect almost unlimited amounts of data on performance during learning. However, it is critical to ensure appropriate data are presented properly to the human to aid learning of a system. At the present time, extensive literature exists on training, but there is no agreed upon method of choosing exactly the data to present as feedback during training. This uncertainty is due to the lack of underlying principles for making feedback effective. This paper presents a formulation of feedback principles based on an understanding of the processing demands on the human operator. We explain how variables such as amount of structure and support in feedback interact with the human operator and the task to be learned. With this knowledge, designers may choose suitable feedback for training.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, HFES 2006
PublisherHuman Factors and Ergonomics Society Inc.
Pages2624-2628
Number of pages5
ISBN (Print)9780945289296
DOIs
StatePublished - 2006
Externally publishedYes
Event50th Annual Meeting of the Human Factors and Ergonomics Society, HFES 2006 - San Francisco, CA, United States
Duration: Oct 16 2006Oct 20 2006

Publication series

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

Other

Other50th Annual Meeting of the Human Factors and Ergonomics Society, HFES 2006
Country/TerritoryUnited States
CitySan Francisco, CA
Period10/16/0610/20/06

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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