Speech-Based Interaction with In-Vehicle Computers: The Effect of Speech-Based E-Mail on Drivers' Attention to the Roadway
By John D. Lee, Brent Caven, Steven Haake, T. Brown. Hum. Factors, 2001
418 citations recorded by the source corpus.
Subfields: Social Psychology, Transportation
View Paper: https://www.semanticscholar.org/paper/f844e4936dd22261bdcfdf9c767fcf45b6ea9d09
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Social Psychology
- David L. Strayer
- Frank A. Drews
- Yulan Liang
- John D. Lee
- Michelle L. Reyes
- Michael A. Goodrich
- D. Olsen
- W. Johnston
In Transportation
Citations in the corpus
- Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007, background): “GPS navigation systems, and satellite radios has exacerbated the problem by introducing additional sources of distraction [4]–[8].”
- Cell phone-induced failures of visual attention during simulated driving. (2003, background): “Lee et al. (2001) has recently extended these findings by showing that active interaction with a speechbased e-mail system can also impair drivers' reactions.”
- Metrics for Evaluating Human-Robot Interactions (2003, methodology): “From the psychometric world we can import a number of attention consuming tasks that we can measure as a surrogate for FT such as performing mental arithmetic [8], carrying on a fabricated cell-phone conversation [9], classifying objects [10], and reading email [11].”
- Profiles in Driver Distraction: Effects of Cell Phone Conversations on Younger and Older Drivers (2004, background): “Moreover, Brown et al. (2001; see also Lee et al., 2001) recently showed that a slowing of the driver’s reactions is likely to increase the severity of impact during collision, especially when driving at highway speeds.”
- Multi-Factor Authentication: A Survey (2018, background): “Most of the contemporary smart electronic devices are equipped with a microphone that allows utilizing voice recognition as a factor for MFA [81,82].”