Modeling the effect of loudness and semantics of speech warnings on human performances

Yiqi Zhang; Changxu Wu

doi:10.1177/1541931214581172

Modeling the effect of loudness and semantics of speech warnings on human performances

Yiqi Zhang, Changxu Wu

Marcus Department of Industrial and Manufacturing Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

The quantitative prediction and understanding of human performances in the responses to speech warnings is an essential component to improve warning effectiveness. Queuing network-model human processor (QN-MHP), as a computational architecture, enables researchers to model dual-task information processing. The current study enhanced QN-MHP by modelling the effect of loudness and semantics on human responses to speech warning messages. The model predictions of crash rate were validated with two empirical studies in collision warning systems with resultant R squares of 0.73 and 0.77, respectively. The developed mathematical model could be further utilized in optimizing the design of speech warnings to achieve most safety benefits.

Original language	English (US)
Title of host publication	2014 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014
Publisher	Human Factors an Ergonomics Society Inc.
Pages	817-821
Number of pages	5
ISBN (Electronic)	9780945289456
DOIs	https://doi.org/10.1177/1541931214581172
State	Published - 2014
Event	58th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014 - Chicago, United States Duration: Oct 27 2014 → Oct 31 2014

Publication series

Name	Proceedings of the Human Factors and Ergonomics Society
Volume	2014-January
ISSN (Print)	1071-1813

Other

Other	58th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014
Country/Territory	United States
City	Chicago
Period	10/27/14 → 10/31/14

All Science Journal Classification (ASJC) codes

Human Factors and Ergonomics

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10.1177/1541931214581172

Cite this

Zhang, Y., & Wu, C. (2014). Modeling the effect of loudness and semantics of speech warnings on human performances. In 2014 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014 (pp. 817-821). (Proceedings of the Human Factors and Ergonomics Society; Vol. 2014-January). Human Factors an Ergonomics Society Inc.. https://doi.org/10.1177/1541931214581172

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title = "Modeling the effect of loudness and semantics of speech warnings on human performances",

abstract = "The quantitative prediction and understanding of human performances in the responses to speech warnings is an essential component to improve warning effectiveness. Queuing network-model human processor (QN-MHP), as a computational architecture, enables researchers to model dual-task information processing. The current study enhanced QN-MHP by modelling the effect of loudness and semantics on human responses to speech warning messages. The model predictions of crash rate were validated with two empirical studies in collision warning systems with resultant R squares of 0.73 and 0.77, respectively. The developed mathematical model could be further utilized in optimizing the design of speech warnings to achieve most safety benefits.",

author = "Yiqi Zhang and Changxu Wu",

note = "Publisher Copyright: Copyright 2014 Human Factors and Ergonomics Society.; 58th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014 ; Conference date: 27-10-2014 Through 31-10-2014",

year = "2014",

doi = "10.1177/1541931214581172",

language = "English (US)",

series = "Proceedings of the Human Factors and Ergonomics Society",

publisher = "Human Factors an Ergonomics Society Inc.",

pages = "817--821",

booktitle = "2014 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014",

address = "United States",

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Zhang, Y & Wu, C 2014, Modeling the effect of loudness and semantics of speech warnings on human performances. in 2014 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014. Proceedings of the Human Factors and Ergonomics Society, vol. 2014-January, Human Factors an Ergonomics Society Inc., pp. 817-821, 58th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014, Chicago, United States, 10/27/14. https://doi.org/10.1177/1541931214581172

Modeling the effect of loudness and semantics of speech warnings on human performances. / Zhang, Yiqi; Wu, Changxu.
2014 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014. Human Factors an Ergonomics Society Inc., 2014. p. 817-821 (Proceedings of the Human Factors and Ergonomics Society; Vol. 2014-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The quantitative prediction and understanding of human performances in the responses to speech warnings is an essential component to improve warning effectiveness. Queuing network-model human processor (QN-MHP), as a computational architecture, enables researchers to model dual-task information processing. The current study enhanced QN-MHP by modelling the effect of loudness and semantics on human responses to speech warning messages. The model predictions of crash rate were validated with two empirical studies in collision warning systems with resultant R squares of 0.73 and 0.77, respectively. The developed mathematical model could be further utilized in optimizing the design of speech warnings to achieve most safety benefits.

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Modeling the effect of loudness and semantics of speech warnings on human performances

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