Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Alea Mehler"'
Autor:
Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack Terwilliger, Aleksandr Patsekin, Julia Kindelsberger, Li Ding, Sean Seaman, Alea Mehler, Andrew Sipperley, Anthony Pettinato, Bobbie D. Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer
Publikováno v:
IEEE Access, Vol 7, Pp 102021-102038 (2019)
Today, and possibly for a long time to come, the full driving task is too complex an activity to be fully formalized as a sensing-acting robotics system that can be explicitly solved through model-based and learning-based approaches in order to achie
Externí odkaz:
https://doaj.org/article/3df843c079b342e190ab0468e20659fc
Autor:
Nadine Chahine, Alea Mehler, Bryan Reimer, Lauren Parikhal, Thomas McWilliams, Hillary Abraham, Jonathan Dobres
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62:987-991
Allergen information on food labels is not standardized, making allergen avoidance difficult for consumers. This study investigated the speed and accuracy of allergen identification on commercial packaging across different types of warning labels. Th
Autor:
Bryan Reimer, Thomas McWilliams, Alea Mehler, August G. Domel, Bruce Mehler, Aubrey Samost, David Perlman, Jonathan Dobres
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 59:1602-1606
A simulator study evaluated the extent to which the use of a smartwatch to initiate phone calls while driving impacts driver workload, attention, and performance, relative to visual-manual (VM) and auditory-vocal (AV) calling methods on a smartphone.
Autor:
Aleksandr Patsekin, Bobbie Seppelt, Jack Terwilliger, Bruce Mehler, Julia Kindelsberger, Sean Seaman, Daniel E. Brown, Linda Angell, William Angell, Anthony Pettinato, Benedikt Jenik, Spencer Dodd, Alea Mehler, Michael Glazer, Li Ding, Andrew Sipperley, Lex Fridman, Bryan Reimer
Publikováno v:
IEEE Access, Vol 7, Pp 102021-102038 (2019)
Today, and possibly for a long time to come, the full driving task is too complex an activity to be fully formalized as a sensing-acting robotics system that can be explicitly solved through model-based and learning-based approaches in order to achie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cf2a58332f6bad86057f9c08575a4a3
Publikováno v:
Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design: driving assessment 2017.
This paper presents an analysis of responses obtained on the Driver Behavior Questionnaire (DBQ) and self-reported history of the frequency of crashes, citations, and warnings in a sample of 562 drivers. The sample was closely balanced by gender and
Autor:
Alea Mehler, Lisa A. D'Ambrosio
Publikováno v:
Public Policy & Aging Report. 24:10-13
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 15:676-685
The Driver Behavior Questionnaire (DBQ) is a well-documented instrument for obtaining self-report information on aberrant driving behaviors. The DBQ contains three subscales to capture different aspects of driver behavior: errors, lapses and violatio
Publikováno v:
AutomotiveUI (adjunct)
This study examined relationships between individual user characteristics and perceptions about technology -- experience, adoption, ability to learn, and trust. Based on responses from a diverse sample of 610 individuals with driving experience, it w
Autor:
Bryan Reimer, Hale McAnulty, Adrian Rumpold, Daniel Munger, Jonathan Dobres, Alea Mehler, Bruce Mehler
Publikováno v:
AutomotiveUI
Multi-function in-vehicle interfaces are an increasingly common feature in automobiles. Over the past several years, these interfaces have taken on an ever-greater number of functions and the ways in which drivers interact with information have becom
Publikováno v:
Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : driving assessment 2013.
As the population has become both older and more technologically literate, a new class of “brain training” computer programs have gained in popularity. Though these programs have attracted substantial attention from scientists and consumers, the