Bayesian highest density intervals of take-over times for highly automated driving in different traffic densities

Proceedings of the Human Factors and Ergonomics Society

Volumn 0, Issue , 2016, Pages 2002-2006

  Körber, Moritz ^a   Radlmayr, Jonas ^a   Bengler, Klaus ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; ERGONOMICS;

95% CREDIBLE INTERVALS; BAYESIAN PARAMETER ESTIMATION; DISTRIBUTION SHAPES; EXPERIMENTAL CONDITIONS; HIGHLY AUTOMATED DRIVINGS; HUMAN FACTORS RESEARCH; POSTERIOR DISTRIBUTIONS; STATISTICAL APPROACH;

PARAMETER ESTIMATION;

EID: 85002868228     PISSN: 10711813     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1177/1541931213601457     Document Type: Conference Paper

References (29)

1. Brandstätter, E., & Kepler, J. (1999). Confidence intervals as an alternative to significance testing. Methods of Psychological Research Online, 4(2), 33-46.
2. Castro Sotos, A. E., Vanhoof, S., van den Noortgate, W., & Onghena, P. (2007). Students' misconceptions of statistical inference: A review of the empirical evidence from research on statistics education. Educational Research Review, 2(2), 98-113.
3. Conti, A., Dlugosch, C., Vilimek, R., Keinatz, A., & Bengler, K. (2012). An Assessment of Cognitive Workload Using Detection Response Tasks. In N. A. Stanton (Ed.), Advances in human factors and ergonomics series. Advances in human aspects of road and rail transportation (pp. 735-743). Boca Raton, FL: CRC Press.
4. Cumming, G. (2014). The new statistics: why and how. Psychological Science, 25(1), 7-29.
5. Cumming, G., & Fidler, F. (2009). Confidence Intervals: Better Answers to Better Questions. Zeitschrift für Psychologie/Journal of Psychology, 217(1), 15-26.
6. Cumming, G., Fidler, F., Kalinowski, P., & Lai, J. (2012). The statistical recommendations of the American Psychological Association Publication Manual: Effect sizes, confidence intervals, and meta-analysis. Australian Journal of Psychology, 64(3), 138-146.
7. Cumming, G., & Finch, S. (2001). A Primer on the Understanding, Use, and Calculation of Confidence Intervals that are Based on Central and Noncentral Distributions. Educational and Psychological Measurement, 61(4), 532-574.
8. Gasser, T. M. (2012). Rechtsfolgen zunehmender Fahrzeugautomatisierung: Gemeinsamer Schlussbericht der Projektgruppe. Berichte der Bundesanstalt für Straßenwesen - Fahrzeugtechnik (F): Vol. 83. Bremerhaven: Wirtschaftsverlag NW.
9. Gold, C., & Bengler, K. (2014). Taking Over Control from Highly Automated Vehicles. In N. A. Stanton, S. Landry, G. Di Bucchianico, & A. Vallicelli (Eds.): Vol. [8]. Advances in human factors and ergonomics 2014, Advances in human aspects of transportation, Part II (pp. 64-69). Louisville, KY: AHFE Conference.
10. Gold, C., Damböck, D., Lorenz, L., & Bengler, K. (2013). "Take over!" How long does it take to get the driver back into the loop? Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 57(1), 1938-1942.
11. Kline, R. B. (2013). Beyond significance testing: Statistics reform in the behavioral sciences (2nd ed.). Washington, D. C: American Psychological Association.
12. Körber, M., & Bengler, K. (2014). Potential Individual Differences Regarding Automation Effects in Automated Driving. In C. S. G. González, C. C. Ordóñez, & H. Fardoun (Eds.), Interacción 2014: Proceedings of the XV International Conference on Human Computer Interaction (pp. 152-158). New York, NY, USA: ACM.
13. Körber, M., Gold, C., Lechner, D., & Bengler, K. (2016). The Influence Of Age On The Take-Over Of Vehicle Control In Highly Automated Driving. Transportation Research Part F: Traffic Psychology and Behaviour, 39, 19-32.
14. Kruschke, J. K. (2011). Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison. Perspectives on Psychological Science, 6(3), 299-312.
15. Kruschke, J. K. (2015). Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan (2. ed.). San Diego, CA: Academic Press.
16. Kruschke, J. K., Aguinis, H., & Joo, H. (2012). The Time Has Come: Bayesian Methods for Data Analysis in the Organizational Sciences. Organizational Research Methods, 15(4), 722-752.
17. Kruschke, J. K., & Liddell, T. M. (2015). The Bayesian New Statistics: Two Historical Trends Converge. SSRN Electronic Journal.
18. Kyriakidis, M., Happee, R., & Winter, J. de. (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 127-140.
19. Merat, N., Jamson, A. H., Lai, F., & Carsten, O. (2012). Highly Automated Driving, Secondary Task Performance, and Driver State. Human Factors: The Journal of the Human Factors and Ergonomics Society, 54(5), 762-771.
20. Morey, R. D., Hoekstra, R., Rouder, J. N., Lee, M. D., & Wagenmakers, E.-J. (2015). The fallacy of placing confidence in confidence intervals. Psychonomic bulletin & review, 23(1), 103-123.
21. National Highway Traffic Safety Administration. (2013). Preliminary Statement of Policy Concerning Automated Vehicles. Washington, DC. Retrieved from www.nhtsa.gov/staticfiles/rulemaking/pdf/Automated-Vehicles-Policy.pdf
22. Plummer, M. (2003). JAGS: A Program for Analysis of Bayesian Graphical Models Using Gibbs Sampling. In Kurt Hornik, Friedrich Leisch, & Achim Zeileis (Eds.), Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003). Vienna, Austria.
23. Radlmayr, J., Gold, C., Lorenz, L., Farid, M., & Bengler, K. (2014). How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 58(1), 2063-2067.
24. Reichardt, C. S., & Gollob, H. F. (1997). When confidence intervals should be used instead of statistical tests, and vice versa. In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.), What if there were no significance tests? (pp. 259-284). Mahwah, NJ: Erlbaum.
25. Reimer, B., Mehler, B., Wang, Y., & Coughlin, J. F. (2010). The impact of systematic variation of cognitive demand on drivers' visual attention across multiple age groups. In Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting 2010 (Vol. 54, pp. 2052-2055).
26. Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic bulletin & review, 16(2), 225-237.
27. Schönbrodt, F. D., Wagenmakers, E.-J., Zehetleitner, M., & Perugini, M. (2015). Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences. Psychological Methods.
28. Steiger, J. H., & Fouladi, R. T. (1997). Noncentrality interval estimation and the evaluation of statistical models. In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.), What if there were no significance tests? (pp. 221-257). Mahwah, NJ: Erlbaum.
29. Zeeb, K., Buchner, A., & Schrauf, M. (2015). What determines the take-over time? An integrated model approach of driver take-over after automated driving. Accident Analysis & Prevention, 78, 212-221.