Using behavioral data to understand shared mobility choices of electric and hybrid vehicles

2021 ◽  
pp. 1-18
Author(s):  
Zulqarnain H. Khattak ◽  
Asad J. Khattak
Keyword(s):  
Hybrid Vehicles ◽  
Behavioral Data ◽  
Shared Mobility

Development of Reading Remediation for Dyslexic Individuals

2016 ◽  
Vol 224 (4) ◽  
pp. 240-246 ◽  
Author(s):  
Mélanie Bédard ◽  
Line Laplante ◽  
Julien Mercier
Keyword(s):  
20Th Century ◽  
Scientific Literature ◽  
Behavioral Data ◽  
Educational Neuroscience ◽  
Reading Remediation ◽  
Functional Brain ◽  
Neurophysiological Data ◽  
Brain Correlates ◽  
Research Questions ◽  
The Brain

Abstract. Dyslexia is a phenomenon for which the brain correlates have been studied since the beginning of the 20th century. Simultaneously, the field of education has also been studying dyslexia and its remediation, mainly through behavioral data. The last two decades have seen a growing interest in integrating neuroscience and education. This article provides a quick overview of pertinent scientific literature involving neurophysiological data on functional brain differences in dyslexia and discusses their very limited influence on the development of reading remediation for dyslexic individuals. Nevertheless, it appears that if certain conditions are met – related to the key elements of educational neuroscience and to the nature of the research questions – conceivable benefits can be expected from the integration of neurophysiological data with educational research. When neurophysiological data can be employed to overcome the limits of using behavioral data alone, researchers can both unravel phenomenon otherwise impossible to document and raise new questions.

Behavioral data in the design of aircrew training devices

1975 ◽  
Author(s):  
B. W. Cream ◽  
F. T. Eggemeier ◽  
G. A. Klein
Keyword(s):  
Behavioral Data

Energy Impact Simulation in Hybrid Vehicles Using Neural Networks

2017 ◽  
Vol 11 (8) ◽  
pp. 597
Author(s):  
John Villaizan ◽  
Robinson Jimenez ◽  
Olga Ramos
Keyword(s):  
Neural Networks ◽  
Hybrid Vehicles ◽  
Impact Simulation ◽  
Energy Impact

Hybrid Vehicles

CFA Magazine ◽  
2008 ◽  
Vol 19 (6) ◽  
pp. 26-31
Author(s):  
John Rubino
Keyword(s):  
Hybrid Vehicles

The Impact of Hybrid Vehicles on Street Crossings

2006 ◽  
Vol 38 (2) ◽  
pp. 65-78 ◽  
Author(s):  
William Wiener ◽  
Koorosh Naghshineh ◽  
Brad Salisbury ◽  
Randall Rozema
Keyword(s):  
Hybrid Vehicles ◽  
The Impact

Privacy, confidentiality, and safety considerations for conducting geographic momentary assessment studies among persons who use drugs and men who have sex with men (Preprint)

2018 ◽  
Author(s):  
Abby Rudolph ◽  
April Young ◽  
Jennifer Havens
Keyword(s):  
Risk Behaviors ◽  
Response Times ◽  
Ecological Validity ◽  
Qualitative Interviews ◽  
Behavioral Data ◽  
Atlantic City ◽  
Sensitive Information ◽  
Safety Concerns ◽  
Sex With Men ◽  
Persons Who Use Drugs

BACKGROUND Geographic momentary assessments (GMA) collect real-time behavioral data in one’s natural environment using a smartphone and could potentially increase the ecological validity of behavioral data. Several studies have evaluated the feasibility and acceptability of GMA among persons who use drugs (PWUD) and men who have sex with men (MSM), but fewer have discussed privacy, confidentiality, and safety concerns, particularly when illegal or stigmatized behavioral data were collected. OBJECTIVE This study explores perceptions regarding privacy, confidentiality, and safety of GMA research among PWUD and MSM recruited in three different settings (rural Appalachia, a mid-sized city in the South, and a mid-Atlantic city). METHODS Between November 2014 and April 2017 we recruited 35 PWUD from rural Appalachian Kentucky (N=20) and Baltimore, Maryland (N=15), and 20 MSM from Lexington, Kentucky to complete semi-structured qualitative interviews. Through thematic analyses, we identified and compared privacy, confidentiality, and safety concerns by demographic characteristics, risk behaviors, and setting. RESULTS Privacy, confidentiality, and safety concerns varied by setting, age, smartphone ownership, use of illegal drugs, and history of drug-related arrests. Among those who used drugs, participants reported concerns with being tracked and burden associated with carrying and safeguarding study phones and responding to survey prompts. Privacy and confidentiality concerns were noted in each setting, but tracking concerns were greatest among Baltimore participants and led many to feel that they (or others) would be unwilling to participate or comply with study procedures. While locations considered to be sensitive varied by setting, participants in all settings said they would take measures to prevent sensitive information from being collected (i.e. intentionally disable devices, leave phones at home, alter response times). CONCLUSIONS Privacy, confidentiality, and safety concerns may limit the accuracy of risk location information, study compliance, and participation. As concerns were often greatest among those engaging in illegal behaviors and with the highest risk behaviors, selection bias and non-response bias could negatively influence the representativeness and validity of study findings.

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