| Human performance consequences of automated decision aids in states of sleep loss. | |
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MedLine Citation:
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PMID: 22235532 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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OBJECTIVE: The authors investigated how human performance consequences of automated decision aids are affected by the degree of automation and the operator's functional state. BACKGROUND: As research has shown, decision aids may not only improve performance but also lead to new sorts of risks.Whereas knowledge exists about the impact of system characteristics (e.g., reliability) on human performance, little is known about how these performance consequences are moderated by the functional state of operators. METHOD: Participants performed a simulated supervisory process control task with one of two decision aids providing support for fault identification and management. One session took place during the day, and another one took place during the night after a prolonged waking phase of more than 20 hr. RESULTS: Results showed that decision aids can support humans effectively in maintaining high levels of performance, even in states of sleep loss, with more highly automated aids being more effective than less automated ones. Furthermore, participants suffering from sleep loss were found to be more careful in interaction with the aids, that is, less prone to effects of complacency and automation bias. However, cost effects arose that included a decline in secondary-task performance and an increased risk of return-to-manual performance decrements. CONCLUSION: Automation support can help protect performance after a period of extended wakefulness. In addition, operators suffering from sleep loss seem to compensate for their impaired functional state by reallocating resources and showing a more attentive behavior toward possible automation failures. APPLICATION: Results of this research can inform the design of automation, especially decision aids. |
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Authors:
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Juliane Reichenbach; Linda Onnasch; Dietrich Manzey |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Human factors Volume: 53 ISSN: 0018-7208 ISO Abbreviation: Hum Factors Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2012-01-12 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0374660 Medline TA: Hum Factors Country: United States |
Other Details:
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Languages: eng Pagination: 717-28 Citation Subset: IM; S |
Affiliation:
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Department of Psychology and Ergonomics, Berlin Institute of Technology, Berlin, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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