Improving Lives Through Research®

Publications

Jenness J., Lenneman J., Benedick A., Huey R., Jaffe J., Singer J., and Yahoodik S. (2019).

Spaceship, guardian, coach: Drivers' mental models of advanced vehicle technology.

HCI International 2019 – Posters. HCII 2019. Communications in Computer and Information Science, vol. 1034 (pp. 351-356). Orlando, Florida: Springer.
DOI
Portouli E., Nathanael D., Amditis A., Lee Y.M., Merat N., Uttley J., Giles O., Markkula G., Dietrich A., Schieben A., and Jenness J. (2019).

Methodologies to understand the road user needs when interacting with automated vehicles.

HCI in Mobility, Transport, and Automotive Systems. HCII 2019. Lecture Notes in Computer Science, vol. 11596 (pp. 35-45). Orlando, Florida: Springer.
DOI
Robinson E., Barragan D., Dembowski D., Szymkowski T., Miller S., Golembiewski G., and Ferezan S. (2018).

Human factors guidelines for Transportation Management Centers.

(FHWA-HRT-16-060). Washington, DC: Federal Highway Administration.
Source (PDF)
Kidd D.G., Singer J., Huey R., and Kerfoot L. (2018).

The effect of a gearshift interlock on seat belt use by drivers who do not always use a belt and its acceptance among those who do.

Journal of Safety Research, 65, 39-51.
DOI | PubMed
Giangrande M., Brick J.M., Morganstein D., and Lewis K. (2018).

Virtual listing: GIS approaches to improve survey listing efficiency.

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 1554-1560). Alexandria, VA: American Statistical Association.
Source (PDF)
Miller E.E., Boyle L.N., Jenness J., and Lee J.D. (2018).

Voice control tasks on cognitive workload and driving performance: Implications of modality, difficulty, and duration.

Transportation Research Record: Journal of the Transportation Research Board.
DOI
Robinson E., Lubar E., Singer J., Kellman D., Katz B., and Kuznicki S. (2018).

State of the practice for traveler information during nonrecurring events.

FHWA-HRT-17-014. Washington, DC: Federal Highway Administration, U.S. Department of Transportation.
Source (PDF)
Robinson E., Motamed M., Newton D., Olyai K., and Bedsole L.K. (2017).

Elements of business rules and decision support systems within integrated corridor management: Understanding the intersection of these three components.

(FHWA-HOP-17-027). Washington, DC: Federal Highway Administration.
Source (PDF)
Krenzke T., Li J., and McKenna L. (2017).

Producing multiple tables for small areas with confidentiality protection.

Statistical Journal of the IAOS, 33(2), 469-485.
DOI
Chang C.-C., Boyle L.N., Lee J.D., and Jenness J.W. (2017).

Using tactile detection response tasks to assess in-vehicle voice control interactions.

Transportation Research Part F: Traffic Psychology and Behaviour, 51, 38-46.
DOI
Tourangeau R., English E., McConnell K.E., Chapman D., Cervantes I., Horsch E., Meade N., Domanski A., and Welsh M. (2017).

The Gulf Recreation Study: Assessing lost recreational trips from the 2010 Gulf oil spill.

Journal of Survey Statistics and Methodology, 5(3), 281-309.
DOI
Hernandez-Stumpfhauser D., Breidt F.J., and Opsomer J.D. (2016).

Hierarchical Bayesian small area estimation for circular data.

Canadian Journal of Statistics, 44(4), 416-430.
DOI
Law C., Adler T., and Killen J. (2016).

Discussing complementary or alternative health approaches with travelers.

In G. W. Brunette (Ed.), CDC Health Information for International Travel 2016. Atlanta, GA: Centers for Disease Control and Prevention.
Source
Wolf J., Simas M.G., Auld J., Mohammadian A., and Bachman W. (2015).

Demographic characterization of anonymous trace travel data.

Transportation Research Record, 2526(1), 19-28.
DOI
Miller H.J., Tribby C.P., Brown B.B., Smith K.R., Werner C.M., Wolf J., Wilson L., and Simas M.G. (2015).

Public transit generates new physical activity: Evidence from individual GPS and accelerometer data before and after light rail construction in a neighborhood of Salt Lake City, Utah, USA.

Health & Place, 36, 8-17.
DOI | PubMed
Singer J., Lerner N., Baldwin C., and Traube E. (2015).

Auditory alerts in vehicles: Effects of alert characteristics and ambient noise conditions on perceived meaning and detectability.

Proceedings of the 24th Enhanced Safety of Vehicles Conference.
Source
Wu J., Chang C.-C., Boyle L.N., and Jenness J.W. (2015).

Impact of in-vehicle voice control systems on driver distraction: Insights from contextual interviews.

Proceedings of the Human Factors and Ergonomics Society 59th Annual Meeting – 2015 (pp. 1583-1587). Thousand Oaks, CA: Sage Journals.
Source
Lerner N., Singer J., Kellman D., and Traube E. (2015).

In-vehicle noise alters the perceived meaning of auditory signals.

Proceedings of the Eighth International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design. (pp. 401-407). Iowa City, IA: University of Iowa Public Policy Center.
Source (PDF)
Levi S., Kislev S., Golan E., and Tal S. (2014).

Increasing child passenger safety via a national action plan.

Protection of Children in Cars Conference Proceedings. Munich, Germany: Tuv Sud Group.
Source (PDF)
Das B., Sugawara Y., Jiao R., and Green J. (2014).

Multivariate sample design optimization for NHTSA’s new National Automotive Sampling System.

Proceedings of the American Statistical Association, Section on Survey Research Methods (pp. 1291-1301). Alexandria, VA: American Statistical Association.
Source
Miller N., Sizov N., Mullins C.D., and Cantor D. (2014).

New research on community reaction to aircraft noise in the United States.

Proceedings of the 11th International Congress on Noise as a Public Health Problem. Nara, Japan.
Source (PDF)
De Leonardis D., Robinson E., Huey R., and Atkins R. (2014).

Threshold effects of speed-monitoring devices on the speeding behavior of drivers.

Transportation Research Record, 2425, 17-24.
DOI
Vovsha P., Simas M.G., Davidson W., Chu C., Farley R., Mitchell M., and Vyas G. (2014).

Statistical analysis of transit user preferences including in-vehicle crowding and service reliability.

TRB 93rd Annual Meeting Compendium of Papers (# 14-4953). Washington, DC: Transportation Research Board.
Source
Jiao R., Sugawara Y., Rozsi M., Lohr S., Green J., and Cecere W. (2014).

Estimating population and design parameters for NHTSA's new National Automotive Sampling System (NASS).

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 1028-1037). Alexandria, VA: American Statistical Association.
Source
Rozsi M., Cecere W., Lohr S., and Green J. (2014).

Creating a flexible and scalable PSU sample for NHTSA's redesign of the National Automotive Sampling System.

Proceedings of the American Statistical Association, Section on Survey Research Methods (pp. 1019-1027). Alexandria, VA: American Statistical Association.
Source
Cecere W., Jiao R., Rozsi M., Severynse J.A., Lohr S., and Green J. (2014).

Composite measure of size evaluation and primary sampling unit formation for NHTSA’s Redesign of the National Automotive Sampling System.

Proceedings of the American Statistical Association, Section on Survey Research Methods (pp. 1279-1290). Alexandria, VA: American Statistical Association.
Source
Ferguson S.A., Jenness J.W., and Young K.L. (2014).

Engaged Driving Symposium (special issue editors).

Annals of Advances in Automotive Medicine, 58.
Source
Wolf J., Simas M.G., Vovsha P., and Mitchell M. (2014).

Evaluation of two methods for identifying trip purpose in GPS-based household travel surveys.

Transportation Research Record, 3407(1), 33-41.
DOI
Lerner N., Robinson E., Singer J., Jenness J.W., Huey R., Baldwin C., and Fitch G. (2014).

Human factors for connected vehicles: Effective warning interface research findings.

(Report No. DOT HS 812 068). Washington, DC: National Highway Traffic Safety Administration.
Source (PDF)

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