Sharing control between humans and automation using haptic interface: primary and secondary task performance benefits.
Identifieur interne : 001842 ( PubMed/Corpus ); précédent : 001841; suivant : 001843Sharing control between humans and automation using haptic interface: primary and secondary task performance benefits.
Auteurs : Paul G. Griffiths ; R Brent GillespieSource :
- Human factors [ 0018-7208 ] ; 2005.
English descriptors
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- MESH :
Abstract
This paper describes a paradigm for human/automation control sharing in which the automation acts through a motor coupled to a machine's manual control interface. The manual interface becomes a haptic display, continually informing the human about automation actions. While monitoring by feel, users may choose either to conform to the automation or override it and express their own control intentions. This paper's objective is to demonstrate that adding automation through haptic display can be used not only to improve performance on a primary task but also to reduce perceptual demands or free attention for a secondary task. Results are presented from three experiments in which 11 participants completed a lane-following task using a motorized steering wheel on a fixed-base driving simulator. The automation behaved like a copilot, assisting with lane following by applying torques to the steering wheel. Results indicate that haptic assist improves lane following by least 30%, p < .0001, while reducing visual demand by 29%, p < .0001, or improving reaction time in a secondary tone localization task by 18 ms, p = .0009. Potential applications of this research include the design of automation interfaces based on haptics that support human/automation control sharing better than traditional push-button automation interfaces.
PubMed: 16435698
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Griffiths</name><affiliation><nlm:affiliation>Department of Mechanical Engineering, University of Michigan, Ann Arbor 48109, USA. paulgrif@umich.edu</nlm:affiliation></affiliation></author><author><name sortKey="Gillespie, R Brent" sort="Gillespie, R Brent" uniqKey="Gillespie R" first="R Brent" last="Gillespie">R Brent Gillespie</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2005">2005</date><idno type="RBID">pubmed:16435698</idno><idno type="pmid">16435698</idno><idno type="wicri:Area/PubMed/Corpus">001842</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Sharing control between humans and automation using haptic interface: primary and secondary task performance benefits.</title><author><name sortKey="Griffiths, Paul G" sort="Griffiths, Paul G" uniqKey="Griffiths P" first="Paul G" last="Griffiths">Paul G. Griffiths</name><affiliation><nlm:affiliation>Department of Mechanical Engineering, University of Michigan, Ann Arbor 48109, USA. paulgrif@umich.edu</nlm:affiliation></affiliation></author><author><name sortKey="Gillespie, R Brent" sort="Gillespie, R Brent" uniqKey="Gillespie R" first="R Brent" last="Gillespie">R Brent Gillespie</name></author></analytic><series><title level="j">Human factors</title><idno type="ISSN">0018-7208</idno><imprint><date when="2005" type="published">2005</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Analysis of Variance</term><term>Automation</term><term>Automobile Driving</term><term>Humans</term><term>Man-Machine Systems</term><term>Sound Localization</term><term>Task Performance and Analysis</term><term>Torque</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Analysis of Variance</term><term>Automation</term><term>Automobile Driving</term><term>Humans</term><term>Man-Machine Systems</term><term>Sound Localization</term><term>Task Performance and Analysis</term><term>Torque</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper describes a paradigm for human/automation control sharing in which the automation acts through a motor coupled to a machine's manual control interface. The manual interface becomes a haptic display, continually informing the human about automation actions. While monitoring by feel, users may choose either to conform to the automation or override it and express their own control intentions. This paper's objective is to demonstrate that adding automation through haptic display can be used not only to improve performance on a primary task but also to reduce perceptual demands or free attention for a secondary task. Results are presented from three experiments in which 11 participants completed a lane-following task using a motorized steering wheel on a fixed-base driving simulator. The automation behaved like a copilot, assisting with lane following by applying torques to the steering wheel. Results indicate that haptic assist improves lane following by least 30%, p < .0001, while reducing visual demand by 29%, p < .0001, or improving reaction time in a secondary tone localization task by 18 ms, p = .0009. Potential applications of this research include the design of automation interfaces based on haptics that support human/automation control sharing better than traditional push-button automation interfaces.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">16435698</PMID><DateCreated><Year>2006</Year><Month>01</Month><Day>26</Day></DateCreated><DateCompleted><Year>2006</Year><Month>02</Month><Day>28</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Print">0018-7208</ISSN><JournalIssue CitedMedium="Print"><Volume>47</Volume><Issue>3</Issue><PubDate><Year>2005</Year><Season>Fall</Season></PubDate></JournalIssue><Title>Human factors</Title><ISOAbbreviation>Hum Factors</ISOAbbreviation></Journal><ArticleTitle>Sharing control between humans and automation using haptic interface: primary and secondary task performance benefits.</ArticleTitle><Pagination><MedlinePgn>574-90</MedlinePgn></Pagination><Abstract><AbstractText>This paper describes a paradigm for human/automation control sharing in which the automation acts through a motor coupled to a machine's manual control interface. The manual interface becomes a haptic display, continually informing the human about automation actions. While monitoring by feel, users may choose either to conform to the automation or override it and express their own control intentions. This paper's objective is to demonstrate that adding automation through haptic display can be used not only to improve performance on a primary task but also to reduce perceptual demands or free attention for a secondary task. Results are presented from three experiments in which 11 participants completed a lane-following task using a motorized steering wheel on a fixed-base driving simulator. The automation behaved like a copilot, assisting with lane following by applying torques to the steering wheel. Results indicate that haptic assist improves lane following by least 30%, p < .0001, while reducing visual demand by 29%, p < .0001, or improving reaction time in a secondary tone localization task by 18 ms, p = .0009. 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