Statistical models of the sensory-perception process for human-vehicle interactive models

Chongkwan Rah, Min-Yong Park

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

1 Citation (Scopus)

Abstract

A series of psychophysical experiments on the road was conducted to build a set of stochastic sensory-perception process, as a part of simulated driver models, for computerized Human-Vehicle Interactive Models (HVIMs). Fundamental human factors (i.e. gender, age and driving mileage) were considered to statistically differentiate models with one another using the analysis of covariance. The velocity of moving vehicle, the radius of road and the loudness level inside the vehicle were used as covariates and perceived magnitude of velocity and radius were estimated. To yield probabilistic and dynamic outputs normally distributed random signals were generated within the prediction upper/lower limits for a new input signal vector using Matlab/Simulink.

Original languageEnglish
Title of host publication10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007
Pages281-285
Number of pages5
Volume10
EditionPART 1
StatePublished - 2007 Dec 1
Event10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007 - Seoul, Korea, Republic of
Duration: 2007 Sep 42007 Sep 6

Other

Other10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007
CountryKorea, Republic of
CitySeoul
Period07/09/407/09/6

Fingerprint

Human engineering
Statistical Models
Experiments

Keywords

  • Human-vehicle interactive models
  • Sensory-perception process
  • Stochastic cognitive models

Cite this

Rah, C., & Park, M-Y. (2007). Statistical models of the sensory-perception process for human-vehicle interactive models. In 10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007 (PART 1 ed., Vol. 10, pp. 281-285)
Rah, Chongkwan ; Park, Min-Yong. / Statistical models of the sensory-perception process for human-vehicle interactive models. 10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007. Vol. 10 PART 1. ed. 2007. pp. 281-285
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Rah, C & Park, M-Y 2007, Statistical models of the sensory-perception process for human-vehicle interactive models. in 10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007. PART 1 edn, vol. 10, pp. 281-285, 10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007, Seoul, Korea, Republic of, 07/09/4.

Statistical models of the sensory-perception process for human-vehicle interactive models. / Rah, Chongkwan; Park, Min-Yong.

10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007. Vol. 10 PART 1. ed. 2007. p. 281-285.

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

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N2 - A series of psychophysical experiments on the road was conducted to build a set of stochastic sensory-perception process, as a part of simulated driver models, for computerized Human-Vehicle Interactive Models (HVIMs). Fundamental human factors (i.e. gender, age and driving mileage) were considered to statistically differentiate models with one another using the analysis of covariance. The velocity of moving vehicle, the radius of road and the loudness level inside the vehicle were used as covariates and perceived magnitude of velocity and radius were estimated. To yield probabilistic and dynamic outputs normally distributed random signals were generated within the prediction upper/lower limits for a new input signal vector using Matlab/Simulink.

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Rah C, Park M-Y. Statistical models of the sensory-perception process for human-vehicle interactive models. In 10th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, HMS 2007. PART 1 ed. Vol. 10. 2007. p. 281-285