Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Srinath Sibi"'
Autor:
Srinath Sibi, Wendy Ju, Natalie Friedman, Ilan Mandel, Jorge Ortiz, Sharon Yavo-Ayalon, Federico Saldarini, J.D. Zamfirescu-Pereira
Publikováno v:
Digital Government: Research and Practice. 1:1-12
The effectiveness of social distancing as a disease-slowing measure is dependent on the degree of compliance that individuals demonstrate to such orders. In this ongoing research, we study outdoor pedestrian activity in New York City, specifically us
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Autonomous vehicle systems and their users need to collaborate to navigate the driving environment, particularly during an unstructured transition of control from automation, when the system releases control and expects the human to immediately assum
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Many producers of automated vehicle systems have begun testing autonomous vehicles on the road. In order to ensure safety and prevent crashes, human drivers are enlisted to monitor autonomous vehicles. However, operators of autonomous systems exhibit
Publikováno v:
CHI
Autonomous vehicle system performance is limited by uncertainties inherent in the driving environment and challenges in processing sensor data. Engineers thus face the design decision of biasing systems toward lower sensitivity to potential threats (
Publikováno v:
AutomotiveUI
Lack of trust can arise when people do not know what autonomous vehicles perceive in the environment. To convey this information without causing alarm or compelling people to act, we designed and evaluated a way to sonify an autonomous vehicle's perc
Publikováno v:
ITSC
Partially automated driving systems that require driver supervision and intervention need to keep the driver in the loop and help maintain their situation awareness of the vehicle's current state and future plans. In this paper, we introduce the idea
Publikováno v:
AutomotiveUI
The advent of automated features in modern vehicles requires human factors researchers to find measures other than driving behavior to anticipate the response of drivers in various contexts. Functional near-infrared spectroscopy (fNIRS) is one resear
Publikováno v:
Intelligent Vehicles Symposium
Information about drivers' mental states can be vital to the design of interfaces for highly automated vehicles. Functional near infrared spectroscopy (fNIRS) is a neuroimaging tool that is fast becoming popular to study the cortical activity of part
Publikováno v:
2016 ASEE Annual Conference & Exposition Proceedings.
Publikováno v:
Intelligent Vehicles Symposium
In partially automated cars, it is vital to understand the driver state, especially the driver's cognitive load. This might indicate whether the driver is alert or distracted, and if the car can safely transfer control of driving. In order to better