Different learning conditions and their impact on hazard perception training

Advances in Intelligent Systems and Computing

Volumn 597, Issue , 2018, Pages 282-288

  Hilz, Jana ^a   Malone, Sarah ^a   Brünken, Roland ^a  

^a SAARLAND UNIVERSITY   (Germany)

Author keywords

4C IDModel; Computerized training; Hazard perception; Novice drivers

Indexed keywords

COMPUTER AIDED INSTRUCTION; HAZARDS; HUMAN ENGINEERING;

4C/IDMODEL; COMPUTER-BASED LEARNING ENVIRONMENTS; FACTORIAL DESIGN; HAZARD PERCEPTIONS; INFORMATION TYPES; NOVICE DRIVERS;

EDUCATION;

EID: 85022344212     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-60441-1_28     Document Type: Conference Paper

References (6)

1. Petzoldt, T., Weiß, T., Franke, T., Krems, J.F., Bannert, M.: Can driver education be improved by computer based training of cognitive skills? Accid. Anal. Prev. 50, 1185-1192 (2013)
2. Horswill, M.S., Taylor, K., Newnam, S., Wetton, M., Hill, A.: Even highly experienced drivers benefit from a brief hazard perception training intervention. Accid. Anal. Prev. 52, 100-110 (2013)
3. McKenna, F.P., Horswill, M.S., Alexander, J.L.: Does anticipation training affect drivers’ risk taking? J. Exp. Psychol. 12(1), 1-10 (2006)
4. Isler, R.B., Starkey, N.J., Sheppard, P.: Effects of higher-order driving skill training on young, inexperienced drivers’ on-road driving performance. Accid. Anal. Prev. 43(5), 1818-1827 (2011)
5. Allen, W., Park, G., Terrace, S., Grant, J. (eds.): Detecting transfer of training through simulator scenario design: a novice driver training study. In: Proceedings of the Sixth International Driving Symposium on Human Factors in Driving Assessment, Training, and Vehicle Design; 2011; Lake Tahoe, CA
6. van Merriënboer, J.J.G., Kirschner, P.A.: Ten steps to complex learning. A systematic approach to four-component instructional design. Lawrence Erlbaum Association, Mahwah (2007)