Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-10-31T22:13:15.922Z Has data issue: false hasContentIssue false

20 - Expertise and Transportation

from Part V.I - Domains of Expertise: Professions

Published online by Cambridge University Press:  10 May 2018

K. Anders Ericsson
Affiliation:
Florida State University
Robert R. Hoffman
Affiliation:
Florida Institute for Human and Machine Cognition
Aaron Kozbelt
Affiliation:
Brooklyn College, City University of New York
A. Mark Williams
Affiliation:
University of Utah
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2018

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allgaier, E. (1939). Experience counts: It take more than physical ability to make a good driver. Public Safety, 15, 21.Google Scholar
Beanland, V., Goode, N., Salmon, P. M., & Lenne, M. G. (2013). Is there a case for driver training? A review of the efficacy of pre- and post-licence driver training. Safety Science, 51, 127137.CrossRefGoogle Scholar
Bisseret, A. (1971). Analysis of mental processes involved in air traffic control. Ergonomics, 14, 565570.CrossRefGoogle ScholarPubMed
Blättler, C., Ferrari, V., Didierjean, A., & Marmeche, E. (2011). Representational momentum in aviation. Journal of Experimental Psychology: Human Perception and Performance, 37, 15691577.Google Scholar
Blättler, C., Ferrari, V., Didierjean, A., & Marmeche, E. (2012). Role of expertise and action in motion extrapolation from real road scenes. Visual Cognition, 20, 9881001.Google Scholar
Blättler, C., Ferrari, V., Didierjean, A., van Elslande, P., & Marmeche, E. (2010). Can expertise modulate representational momentum? Visual Cognition, 18, 12531273.Google Scholar
Borkowsky, A., & Oron-Gilad, T. (2013). Exploring the effects of driving experience on hazard awareness and risk perception via real-time hazard identification, hazard classification, and rating tasks. Accident Analysis and Prevention, 59, 548565.Google Scholar
Borkowsky, A., Oron-Gilad, T., & Parmet, Y. (2009). Age and skill differences in classifying hazardous traffic scenes. Transportation Research Part F, 12, 277287.CrossRefGoogle Scholar
Borkowksy, A., Shinar, D., & Parmet, Y. (2008). The relation between driving experience and recognition of road signs relative to their locations. Human Factors, 50, 173182.Google Scholar
Cellier, J. M., Eyrolle, H., & Marine, C. (1997). Expertise in dynamic environments. Ergonomics, 40, 2850.CrossRefGoogle Scholar
Cestac, J., Paran, F., & Delhomme, P. (2011). Young drivers’ sensation seeking, subjective norms, and perceived behavioral control and their roles in predicting speeding intention: How risk-taking motivations evolve with gender and driving experience. Safety Science, 49, 424432.Google Scholar
Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 5581.CrossRefGoogle Scholar
Cooper, J. M., & Strayer, D. L. (2008). Effects of simulator practice and real-world experience on cell-phone-related driver distraction. Human Factors, 50, 893902.CrossRefGoogle ScholarPubMed
Crundall, D., Chapman, P., Trawley, S., Collins, L., van Loon, E., Andrews, B., & Underwood, G. (2012). Some hazards are more attractive than others: Drivers of varying experience respond differently to different types of hazard. Accident Analysis and Prevention, 45, 600609.Google Scholar
Crundall, D., Stedman, A. W., Crundall, E., & Saikayasit, R. (2014). The role of experience and advanced training on performance in a motorcycle simulator. Accident Analysis and Prevention, 73, 8190.Google Scholar
Crundall, D., & Underwood, G. (1998). The effects of experience and processing demands on visual information acquisition in drivers. Ergonomics, 41, 448458.Google Scholar
DeKeyser, V., & Piette, A. (1970). Analyse de l’activité des opérateurs au tableau synoptique d’une chaine d’agglomération. Le Travail Humain, 33, 341352.Google Scholar
Didierjean, A., Ferrari, V., & Blättler, C. (2014). Role of knowledge in motion extrapolation: The relevance of an approach contrasting experts and novices. Psychology of Learning and Motivation, 61, 215235.Google Scholar
Dijksterhuis, C., Stuiver, A., Mulder, B., Brookhuis, A., & de Waard, D. (2012). An adaptive driver support system: User experiences and driving performance in a simulator. Human Factors, 54, 772785.Google Scholar
Durso, F. T., & Dattel, A. R. (2006). Expertise and transportation. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 355372). Cambridge University Press.Google Scholar
Ericsson, K. A. (2006). The influence of experience and deliberate practice on the development of superior expert performance. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 685706). Cambridge University Press.Google Scholar
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363406.Google Scholar
Eskridge, T. C., Still, D., & Hoffman, R. R. (2014). Principles for human-centered interaction design. Part 1: Performative systems. Intelligent Systems, IEEE, 29, 8894.CrossRefGoogle Scholar
Feltovich, P. J., Spiro, R. J., & Coulson, R. L. (1997). Issues of expert flexibility in contexts characterized by complexity and change. In Feltovich, P. J., Ford, K., & Hoffman, R. R. (eds.), Expertise in context: Human and machine (pp. 125146). Menlo Park, CA: AAAI Press.Google Scholar
Garay-Vega, L., Fisher, D., & Pollatsek, A. (2007). Hazard anticipation of novice and experienced drivers: Empirical evaluation on a driving simulator in daytime and nighttime conditions. Transportation Research Record, 2009, 17.Google Scholar
Gibb, R., Schvaneveldt, R., & Gray, R. (2008). Visual misperception in aviation: Glide path performance in a black hole environment. Human Factors, 50, 699711.Google Scholar
Godwin, H. J., Hyde, S., Taunton, D., Calver, J., Blake, J. I. R., & Liversedge, S. P. (2013). The influence of expertise on maritime driving behavior. Applied Cognitive Psychology, 27, 483492.Google Scholar
Groeger, J. A. (2000). Understanding driving: Applying cognitive psychology to a complex everyday task. Hove: Psychology Press.Google Scholar
Gugerty, L. (2011). Situation awareness in driving. In Fisher, D. L., Rizzo, M., Caird, J., and Lee, J. D. (eds.), Handbook of driving simulation for engineering, medicine, and psychology (pp. 265272). Boca Raton, FL: CRC Press.Google Scholar
Henmon, V. A. C. (1919). Air service tests of aptitude for flying. Journal of Applied Psychology, 3, 103109.CrossRefGoogle Scholar
Horswill, M. S. (2016). Improving fitness to drive: The case for hazard perception training. Australian Psychologist, 51, 173181.Google Scholar
Horswill, M. S., Hill, A., & Wetton, M. (2015). Can a video-based hazard perception test used for driver licensing predict crash involvement? Accident Analysis and Prevention, 82, 213219.Google Scholar
Jackson, L., Chapman, P., & Crundall, D. (2009). What happens next? Predicting other road users’ behavior as a function of driving experience and processing time. Ergonomics, 52, 154164.Google Scholar
Kadar, E. E., Rogers, S. D., & Costall, A. (2011). Gaze patterns in a steering-into-lane task on a straight road: The effect of driving speed, lane, and expertise. Ecological Psychology, 23, 93122.Google Scholar
Kasarskis, P., Stehwien, J., Hickox, J., & Aretz, A. (2001). Comparison of expert and novice scan behaviors during VFR flight. Presented at the 11th International Symposium on Aviation Psychology, Columbus, OH.Google Scholar
Kass, S. J., Cole, K. S., & Stanny, C. J. (2007). Effects of distraction and experience on situation awareness and simulated driving. Transportation Research Part F, 10, 321329.Google Scholar
Kirby, C. E., Kennedy, Q., & Yang, J. H. (2014). Helicopter pilot scan techniques during low- altitude high-speed flight. Aviation, Space, and Environmental Medicine, 85, 740744.Google Scholar
Klauer, S. G., Guo, F., Simons-Morton, B. G., Ouimet, M. C., Lee, S. E., & Dingus, T. A. (2014). Distracted driving and risk of road crashes among novice and experienced drivers. New England Journal of Medicine, 370, 5459.Google Scholar
Konstantopoulos, P., Chapman, P., & Crundall, D. (2010). Driver’s visual attention as a function of driving experience and visibility: Using a driving simulator to explore drivers’ eye movements in day, night and rain driving. Accident Analysis and Prevention, 42, 827834.Google Scholar
Lee, J. D. (2007). Technology and teen drivers. Journal of Safety Research, 38, 203213.Google Scholar
Lee, S. E., Klauer, S. G., Olsen, E. C. B., Simons-Morton, B. G., Dingus, T. A., Ramsey, D. J., & Ouimet, M. C. (2009). Detection of road hazards by novice teen and experienced adult drivers. Transportation Research Record, 2078, 2632.Google Scholar
Lehtonen, E., Lappi, O., Koirikivi, I., & Summala, H. (2014). Effect of driving experience on anticipatory look-ahead fixations in real curve driving. Accident Analysis and Prevention, 70, 195208.CrossRefGoogle ScholarPubMed
Malone, A., & Brunken, R (2013). Assessment of driving expertise using multiple choice questions including static vs. animated presentation of driving scenarios. Accident Analysis and Prevention, 51, 112119.Google Scholar
McKenna, F. P., & Crick, J. L. (1991). Hazard perception in drivers: A methodology for testing and training. Final Report. Wokingham: Transport and Road Research Laboratory.Google Scholar
McKenna, F. P., & Farrand, P. (1999). The role of automaticity in driving. In Grayson, G. B. (ed.), Behavioural research in road safety IX. Wokingham: Transport and Road Research Laboratory.Google Scholar
McKinney, E. H., & Davis, K. J. (2003). Effects of deliberate practice on crisis decision performance. Human Factors, 45, 436444.Google Scholar
Meade, M. L., Nokes, T. J., & Morrow, D. G. (2009). Expertise promotes facilitation on a collaborative memory task. Memory, 17, 3948.Google Scholar
Motak, L., Gabaude, C., Bougeant, J. C., & Huet, N. (2014). Comparison of driving avoidance and self-regulatory patterns in younger and older drivers. Transportation Research Part F, 26, 1827.Google Scholar
Mourant, R. R., & Rockwell, T. H. (1972). Strategies of visual search by novice and experienced drivers. Human Factors, 14, 325335.Google Scholar
Mueller, A. S., & Trick, L. M. (2012). Driving in fog: The effects of driving experience and visibility on speed compensation and hazard avoidance. Accident Analysis and Prevention, 48, 472479.Google Scholar
Nabatilan, L. B., Aghazadeh, F., Nimbarte, A. D., Harvey, C. C., & Chowdhury, S. K. (2012). Effect of driving experience on visual behavior and driving performance under different driving conditions. Cognition, Technology, and Work, 14, 355363.Google Scholar
Organisation for Economic Co-operation and Development (2001). Ageing and transport: Mobility needs and safety issues. Paris: OECD.Google Scholar
Patten, C. J. D., Kircher, A., Ostlund, J., Nilsson, L., & Svenson, O. (2006). Driver experience and cognitive workload in different traffic environments. Accident Analysis and Prevention, 38, 887894.CrossRefGoogle ScholarPubMed
Pradhan, A. K., Pollatsek, A., Knodler, M., & Fisher, D. L. (2009). Can younger drivers be trained to scan for information that will reduce their risk in roadway traffic scenarios that are hard to identify as hazardous? Ergonomics, 52, 657673.Google Scholar
Quenault, S. W., & Parker, P. M. (1973). Driver behavior: Newly qualified drivers. TRRI Report LR 567. Wokingham: Transport and Road Research Laboratory.Google Scholar
Rogers, S. D., Kadar, E. E., & Costall, A. (2005). Gaze patterns in the visual control of straight-road driving, and braking as a function of speed and expertise. Ecological Psychology, 17, 1938.Google Scholar
Schriver, A. T., Morrow, D. G., Wickens, C. D., & Talleur, D. A. (2008). Expertise differences in attentional strategies related to pilot decision making. Human Factors, 50, 864878.Google Scholar
Scialfa, C. T., Borkenhagen, D., Lyon, J., Deschenes, M., Horswill, M., & Wetton, M. (2012). The effects of driving experience on response to a static hazard perception test. Accident Analysis and Prevention, 45, 547553.Google Scholar
Snow, A. J. (1926). Test for transportation pilots. Journal of Applied Psychology, 10, 3751.Google Scholar
Stankovic, S., Raufaste, E., & Averty, P. (2008). Determinants of conflict detection: A model of risk judgments in air traffic control. Human Factors, 50, 121134.Google Scholar
Sullivan, J., Yang, J. H., Day, M., & Kennedy, Q. (2011). Training simulation for helicopter navigation by characterizing visual scan patterns. Aviation, Space, and Environmental Medicine, 82, 871878.Google Scholar
Taylor, J. L., Kennedy, Q., Noda, A., & Yesavage, J. A. (2007). Pilot age and expertise predict flight simulator performance: A 3-year longitudinal study. Neurology, 68, 648654.Google Scholar
Thomas, F. D., Blomberg, R. D., Peck, R. C., & Korbelak, K. T. (2016). Evaluation of the safety benefits of the risk awareness and perception training program for novice teen drivers (Report no. DOT HS 812 235). Washington, DC: NHTSA. www.nhtsa.gov/staticfiles/nti/pdf/812235-AwarenessPerceptionTrainingNoviceTeenDrivers.pdf.Google Scholar
Underwood, G. (2007). Visual attention and the transition from novice to advanced driver. Ergonomics, 50, 12351249.CrossRefGoogle ScholarPubMed
Wallis, T. S. A., & Horswill, M. S. (2007). Using fuzzy signal detection theory to determine why experienced and trained drivers respond faster than novices in a hazard perception test. Accident Analysis and Prevention, 39, 11771185.Google Scholar
Wickens, C. D., Self, B. P., Andre, T. S., Reynolds, T. J., & Small, R. L. (2007). Unusual attitude recoveries with a spatial disorientation icon. International Journal of Aviation Psychology, 17, 153165.Google Scholar
Wikman, A. S., Nieminen, T., & Summala, H. (1998). Driving experience and time-sharing during in-car tasks on roads of different width. Ergonomics, 41, 358372.CrossRefGoogle Scholar
Williams, A. F., & O’Neill, B. (1974). On-the-road driving records of licensed race drivers. Accident Analysis and Prevention, 6, 263270.Google Scholar
Xu, Y., Li, Y., & Jiang, L. (2014). The effects of situation factors and impulsiveness on drivers’ intentions to violate traffic rules: Difference of driving experience. Accident Analysis and Prevention, 62, 5462.Google Scholar
Yang, J. H., Kennedy, Q., Sullivan, J., & Fricker, R. D. Jr. (2013). Pilot performance: Assessing how scan patterns and navigational assessments vary by flight expertise. Aviation, Space, and Environmental Medicine, 84, 116124.CrossRefGoogle ScholarPubMed
Yeung, J. S., & Wong, Y. D. (2015). Effects of driver age and experience in abrupt-onset hazards. Accident Analysis and Prevention, 78, 110117.Google Scholar
Young, K. L., Lenné, M. G., Beanland, V., Salmon, P. M., & Stanton, N. A. (2015). Where do novice and experienced drivers direct their attention on approach to urban rail level crossings? Accident Analysis and Prevention, 77, 111.Google Scholar
Zhao, N., Chen, W., Xuan, Y., Mehler, B., Reimer, B., & Fu, X. (2014). Drivers’ and non-drivers’ performance in a change detection task with static driving scenes: Is there a benefit of experience? Ergonomics, 57, 9081007.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×