scholarly journals What’s the Law Got to Do with It? Legislation Regarding In-Vehicle Technology Use and Its Impact on Driver Distraction

2018 ◽  
pp. 63-88
Author(s):  
Katie J. Parnell ◽  
Neville A. Stanton ◽  
Katherine L. Plant
Keyword(s):  
Technology Use ◽  
Driver Distraction ◽  
Vehicle Technology ◽  
The Law

Physical and Cognitive Demands Associated with Police In-vehicle Technology Use: An On-road Case Study

Ergonomics ◽  
2021 ◽  
pp. 1-34
Author(s):  
Maryam Zahabi ◽  
Farzaneh Shahini ◽  
Wei Yin ◽  
Xudong Zhang
Keyword(s):  
Technology Use ◽  
Cognitive Demands ◽  
Vehicle Technology

scholarly journals Survey on In-vehicle Technology Use: Results and Findings

2015 ◽  
Vol 4 (2) ◽  
pp. 135-149 ◽  
Author(s):  
Raj K. Kamalanathsharma ◽  
Hesham A. Rakha ◽  
Ismail H. Zohdy
Keyword(s):  
Technology Use ◽  
Vehicle Technology

scholarly journals First-Stage Evaluation of a Prototype Driver Distraction Human-Machine-Interface Warning System

2021 ◽  
Vol 32 (4) ◽  
pp. 4-14
Author(s):  
Christine Mulvihill ◽  
Tim Horberry ◽  
Michael Fitzharris ◽  
Brendan Lawrence ◽  
Raphaela Schnittker ◽  
...  
Keyword(s):  
Warning System ◽  
Human Machine Interface ◽  
Truck Drivers ◽  
Driver Distraction ◽  
Machine Interface ◽  
Vehicle Technology ◽  
Driver Acceptance ◽  
The Impact ◽  
Published Research ◽  
Larger Sample

Recent advances in vehicle technology permit the real-time monitoring of driver state to reduce distraction-related crashes, particularly within the heavy vehicle industry. Relatively little published research has evaluated the human machine interface (HMI) design for these systems. However, the efficacy of in-vehicle technology depends in large part on the acceptability among drivers of the system’s interface. Four variations of the HMI of a prototype multi-modal warning system developed by the authors for driver distraction were evaluated in a truck simulator with eight car drivers and six truck drivers. Driver acceptance of the HMIs was assessed using the System Acceptability Scale; and salience, comprehension and perceived effectiveness of components of the HMIs (modality, intensity of warning) were assessed using likert scales. The results showed that participants considered the HMIs to be acceptable and useful, and that the warning components were largely noticed, understood correctly, and perceived to be effective. Although this study identified no major design flaws with the recently developed HMIs, further simulator testing with a larger sample size is recommended to validate the findings. On-road evaluations to assess the impact of the HMIs on real world safety are a necessary pre-requisite for implementation.

Where Are We If Our Batteries Die?

2019 ◽  
pp. 20-32
Author(s):  
Pamela M. Sullivan ◽  
Will P. Sullivan
Keyword(s):  
Technology Use ◽  
Historical Perspective ◽  
Philosophy Of Technology ◽  
Printing Press ◽  
Current Status ◽  
Technology In Education ◽  
The Law

This chapter explores the role of technology in literacy from an historical perspective. Using the examples of the printing press, Engelbart's philosophy of technology use, and the Law of Amplification, compared with the current status of technology in education, the authors argue that the technology itself is less important than the framework and pedagogy that it supports.

Where Are We If Our Batteries Die?

2017 ◽  
pp. 72-84
Author(s):  
Pamela M. Sullivan ◽  
Will P. Sullivan
Keyword(s):  
Technology Use ◽  
Historical Perspective ◽  
Philosophy Of Technology ◽  
Printing Press ◽  
Current Status ◽  
Technology In Education ◽  
The Law

This chapter explores the role of technology in literacy from an historical perspective. Using the examples of the printing press, Engelbart's philosophy of technology use, and the Law of Amplification, compared with the current status of technology in education, the authors argue that the technology itself is less important than the framework and pedagogy that it supports.

Application of Cognitive Performance Modeling for Usability Evaluation of Emergency Medical Services In-Vehicle Technology

2020 ◽  
Vol 64 (1) ◽  
pp. 72-76
Author(s):  
Junho Park ◽  
Johnathan McKenzie ◽  
Farzaneh Shahini ◽  
Maryam Zahabi
Keyword(s):  
Cognitive Performance ◽  
Development Process ◽  
Performance Modeling ◽  
Motor Vehicle ◽  
Driver Distraction ◽  
Task Completion ◽  
Mobile Computer ◽  
Emergency Medical ◽  
Vehicle Technology ◽  
Vehicle Technologies

Motor vehicle crashes are one of the leading causes of emergency medical service (EMS) fatalities. These crashes have been mainly attributed to driver distraction caused by in-vehicle technologies especially mobile computer terminals (MCTs). This study used cognitive performance modeling to assess MCT use by EMS drivers. A pilot study was conducted with six EMS experts performing a navigation task with the MCT. Pilot data results were used to create and validate the models using CogTool platform. In terms of task completion time (TCT), the model closely matched the data collected through observations, allowing for redesign improvements to be considered, while further validating CogTool as an analytical tool. The MCT was also redesigned based on the usability heuristics. The developed models and approach can be used in MCT design and development process to ensure efficient interaction in multi-tasking situations of driving and using the MCT.

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