Publications

Levi S., Lee H., Ren W., McCloskey S., and Polson A. (2020).

Reducing child restraint misuse: National survey of awareness and use of inspection stations.

Traffic Injury Prevention, 21(7), 453-458.

DOI

Lenneman J., Mangus L., Jenness J., and Petraglia E. (2020).

Delineating clusters of learners for driver assistance technologies.

HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294 (pp. 601-610). Cham, Switzerland: Springer.

Source

Singer J. and Jenness J.W. (2020).

Impact of information on consumer understanding of a partially automated driving system.

Washington, DC: AAA Foundation for Traffic Safety.

Source (PDF)

Mueller A.S., Cicchino J.B., Singer J., and Jenness J.W. (2020).

Effects of training and display content on Level 2 driving automation interface usability.

Transportation Research Part F: Traffic Psychology and Behavior, 69, 61-71.

DOI

Kidd D.G. and Singer J. (2019).

Consumer acceptance of enhanced seat belt reminders, a gearshift interlock, or different speed-limiting interlocks to encourage seat belt use following a brief hands-on experience.

Safety Science, 120, 617-624.

DOI

Kidd D.G. and Singer J. (2019).

The effects of persistent audible seat belt reminders and a speed-limiting interlock on the seat belt use of drivers who do not always use a seat belt.

Journal of Safety Research, 71, 13-24.

DOI

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

Miller E.E., Boyle L.N., Jenness J.W., and Lee J.D. (2018).

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

Transportation Research Record, 2672(37), 84-93.

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)

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., Lerner N., Singer J., Barragan D., Kulbicki K., Kline J., and Kellman D. (2017).

Travel time displays at freeway entrance approaches.

(FHWA-HRT-16-059). Washington, DC: Federal Highway Administration.

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

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)

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

Simas M., Vovsha P., Wolf J., and Mitchell M. (2014).

Evaluation of Two Methods for Identifying Trip Purpose in GPS-Based Household Travel Surveys.

Transportation Research Record Journal of the Transportation Research Board, 2405(1), 33-41.

DOI

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

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)

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

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You’ll be in great company.

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Publications

Publications

Reducing child restraint misuse: National survey of awareness and use of inspection stations.

Delineating clusters of learners for driver assistance technologies.

Impact of information on consumer understanding of a partially automated driving system.

Effects of training and display content on Level 2 driving automation interface usability.

Consumer acceptance of enhanced seat belt reminders, a gearshift interlock, or different speed-limiting interlocks to encourage seat belt use following a brief hands-on experience.

The effects of persistent audible seat belt reminders and a speed-limiting interlock on the seat belt use of drivers who do not always use a seat belt.

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

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

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

Human factors guidelines for Transportation Management Centers.

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.

Virtual listing: GIS approaches to improve survey listing efficiency.

State of the practice for traveler information during nonrecurring events.

Travel time displays at freeway entrance approaches.

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

Producing multiple tables for small areas with confidentiality protection.

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

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

Hierarchical Bayesian small area estimation for circular data.

Discussing complementary or alternative health approaches with travelers.

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

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

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

Demographic characterization of anonymous trace travel data.

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.

Evaluation of Two Methods for Identifying Trip Purpose in GPS-Based Household Travel Surveys.

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

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

Engaged Driving Symposium (special issue editors).

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

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

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

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

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

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

Want to work with us?You’ll be in great company.

Want to work with us?
You’ll be in great company.