Temporal Expectancy in Driving : An Automated Future

Authors

  • Raeeka Sengupta  Allegheny College, 520 North Main Street Meadville, United States

DOI:

https://doi.org/10.32628/IJSRST52310591

Keywords:

Temporal Expectancy, Manually Driven Vehicles, Auto-Pilot Vehicles

Abstract

The difference in temporal expectancy between participants who are experienced in driving automated vehicles, and participants who are experienced in using only manually driven vehicles, is measured. The period in seconds between the change in stimulus, or in this case, the signal changing from green to red, and the onset of the action, in this case, the muscle tension generated in the ankles before pressing the brake, measures temporal expectancy. This exercise is carried out for each participant through a driving simulator of either manually driven features or auto-pilot features, based on the type of driving experience of the participant. The mean temporal expectancy of each participant is calculated through the cumulation of a definite number of trials. Thus, the means are used to derive the average temporal expectancy of each of the two groups based on auto-pilot or manual drivers. The group tabulated to have lesser seconds as a measure of temporal expectancy, is inferred to have better temporal expectancy.

References

  1. Amer, T. S., & Johnson, T. L. (2016). Information technology progress indicators: Temporal expectancy, user preference, and the perception of process duration. International Journal of Technology and Human Interaction, 12(4), 1. https://doi.org/10.4018/IJTHI.2016100101
  2. Anderson, B., & Sheinberg, D. L. (2008). Effects of Temporal Expectancy and Temporal
  3. Context on Neural Activity in Inferior Temporal Context. Neuropsychologia, 46(4), 947-957. https://doi.org/10.1016/j.neuropsychologia.2007.11.025
  4. Dalmaijer, E. S., Nijenhuis, B. G., Van der Stigchel, S., Postma, L., Institute, H., Psychology, E., & functieleer, A. P. (2015). Life is unfair, and so are racing sports: Some athletes can randomly benefit from alerting effects due to inconsistent starting procedures. Frontiers in Psychology, 6(OCT), 1618-1618. https://doi.org/10.3389/fpsyg.2015.01618
  5. Schmalbrock, P., & Frings, C. (2022). Temporal expectancy modulates stimulus– response integration. Attention, Perception and Psychophysics, 84(1), 221-230. doi:https://doi.org/10.3758/s13414-021-02361-7

Downloads

Published

2023-10-30

Issue

Section

Research Articles

How to Cite

[1]
Raeeka Sengupta "Temporal Expectancy in Driving : An Automated Future" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 5, pp.562-567, September-October-2023. Available at doi : https://doi.org/10.32628/IJSRST52310591