Cell Phone Usage

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The Experts below are selected from a list of 357 Experts worldwide ranked by ideXlab platform

Lynne Kelly - One of the best experts on this subject based on the ideXlab platform.

Aimee E Millerott - One of the best experts on this subject based on the ideXlab platform.

Jason M. Watson - One of the best experts on this subject based on the ideXlab platform.

  • who multi tasks and why multi tasking ability perceived multi tasking ability impulsivity and sensation seeking
    PLOS ONE, 2013
    Co-Authors: David M Sanbonmatsu, David L. Strayer, Nathan Medeirosward, Jason M. Watson
    Abstract:

    The present study examined the relationship between personality and individual differences in multi-tasking ability. Participants enrolled at the University of Utah completed measures of multi-tasking activity, perceived multi-tasking ability, impulsivity, and sensation seeking. In addition, they performed the Operation Span in order to assess their executive control and actual multi-tasking ability. The findings indicate that the persons who are most capable of multi-tasking effectively are not the persons who are most likely to engage in multiple tasks simultaneously. To the contrary, multi-tasking activity as measured by the Media Multitasking Inventory and self-reported Cell Phone Usage while driving were negatively correlated with actual multi-tasking ability. Multi-tasking was positively correlated with participants’ perceived ability to multi-task ability which was found to be significantly inflated. Participants with a strong approach orientation and a weak avoidance orientation – high levels of impulsivity and sensation seeking – reported greater multi-tasking behavior. Finally, the findings suggest that people often engage in multi-tasking because they are less able to block out distractions and focus on a singular task. Participants with less executive control - low scorers on the Operation Span task and persons high in impulsivity - tended to report higher levels of multi-tasking activity.

Peter Paul - One of the best experts on this subject based on the ideXlab platform.

  • passenger compartment violation detection in hov hot lanes
    IEEE Transactions on Intelligent Transportation Systems, 2016
    Co-Authors: Yusuf Artan, Orhan Bulan, Robert P. Loce, Peter Paul
    Abstract:

    Due to the high volume of traffic on modern roadways, transportation agencies have proposed high occupancy vehicle (HOV) and high occupancy tolling (HOT) lanes to promote carpooling. Enforcement of the rules of these lanes is currently performed by roadside enforcement officers using visual observation. Officer-based enforcement is, however, known to be inefficient, costly, potentially dangerous, and ultimately ineffective. Violation rates up to 50%–80% have been reported, whereas manual enforcement rates of less than 10% are typical. Near-infrared (NIR) camera systems have been recently proposed to monitor HOV/HOT lanes and enforce the regulations. These camera systems bring an opportunity to automatically determine vehicle occupancy from captured HOV/HOT NIR images. Due to their ability to see through windshields of vehicles, these cameras also enable enforcement of other passenger compartment violations such as seatbelt violation and driver Cell Phone Usage, in addition to determining vehicle occupancy. In this paper, we propose computer vision methods for detecting vehicle occupancy, seatbelt violation, and driver Cell Phone Usage from NIR images captured from HOV/HOT lanes. Our methods consist of two stages. First, we localize the vehicle's front windshield and side window from captured HOV/HOT images using the deformable part model (DPM). Next, we define a region of interest in the localized images for each violation type and perform image classification using one of the local aggregation-based image features, i.e., bag-of-visual-words (BOW), vector of locally aggregated descriptors (VLAD), and Fisher vectors (FV), and compare their performances for each case. We also compare the performance of DPM-based detection with the image classification methods for vehicle occupancy and seatbelt violation detection. A data set over 4000 images including front/side view vehicle images with seatbelt and Cell Phone violations was collected on a public roadway and is used to perform the experiments.

  • driver Cell Phone Usage detection from hov hot nir images
    Computer Vision and Pattern Recognition, 2014
    Co-Authors: Yusuf Artan, Orhan Bulan, Robert P. Loce, Peter Paul
    Abstract:

    Distracted driving due to Cell Phone Usage is an increasingly costly problem in terms of lost lives and damaged property. Motivated by its impact on public safety and property, several state and federal governments have enacted regulations that prohibit driver mobile Phone Usage while driving. These regulations have created a need for Cell Phone Usage detection for law enforcement. In this paper, we propose a computer vision based method for determining driver Cell Phone Usage using a near infrared (NIR) camera system directed at the vehicle's front windshield. The developed method consists of two stages, first, we localize the driver's face region within the front windshield image using the deformable part model (DPM). Next, we utilize a local aggregation based image classification technique to classify a region of interest (ROI) around the drivers face to detect the Cell Phone Usage. We propose two classification architectures by using full face and half face images for classification and compare their performance in terms of accuracy, specificity, and sensitivity. We also present a comparison of various local aggregation-based image classification methods using bag-of-visual-words (BOW), vector of locally aggregated descriptors (VLAD) and Fisher vectors (FV). A data set of 1500 images was collected on a public roadway and is used to perform the experiments.

David L. Strayer - One of the best experts on this subject based on the ideXlab platform.

  • who multi tasks and why multi tasking ability perceived multi tasking ability impulsivity and sensation seeking
    PLOS ONE, 2013
    Co-Authors: David M Sanbonmatsu, David L. Strayer, Nathan Medeirosward, Jason M. Watson
    Abstract:

    The present study examined the relationship between personality and individual differences in multi-tasking ability. Participants enrolled at the University of Utah completed measures of multi-tasking activity, perceived multi-tasking ability, impulsivity, and sensation seeking. In addition, they performed the Operation Span in order to assess their executive control and actual multi-tasking ability. The findings indicate that the persons who are most capable of multi-tasking effectively are not the persons who are most likely to engage in multiple tasks simultaneously. To the contrary, multi-tasking activity as measured by the Media Multitasking Inventory and self-reported Cell Phone Usage while driving were negatively correlated with actual multi-tasking ability. Multi-tasking was positively correlated with participants’ perceived ability to multi-task ability which was found to be significantly inflated. Participants with a strong approach orientation and a weak avoidance orientation – high levels of impulsivity and sensation seeking – reported greater multi-tasking behavior. Finally, the findings suggest that people often engage in multi-tasking because they are less able to block out distractions and focus on a singular task. Participants with less executive control - low scorers on the Operation Span task and persons high in impulsivity - tended to report higher levels of multi-tasking activity.

  • effects of simulator practice and real world experience on Cell Phone related driver distraction
    Human Factors, 2008
    Co-Authors: Joel M Cooper, David L. Strayer
    Abstract:

    OBJECTIVE: Our research examined the effects of practice on Cell-Phone-related driver distraction. BACKGROUND: The driving literature is ambiguous as to whether practice can reduce driver distraction from concurrent Cell Phone conversation. METHODS: Drivers reporting either high or low real-world Cell Phone Usage were selected to participate in four 90-min simulated driving sessions on successive days. The research consisted of two phases: a practice phase and a novel transfer phase. RESULTS: Dual-task performance deficits persisted through practice and transfer driving conditions. Moreover, groups reporting high and low real-world experience exhibited similar driving impairments when conversing on a hands-free Cell Phone. CONCLUSIONS: These data indicate that practice is unlikely to eliminate the disruptive effects of concurrent Cell Phone use on driving. APPLICATION: Multiple regulatory agencies have considered, or are currently considering, legislation to restrict in-vehicle Cell Phone use. Findings reported herein may be useful to inform these public policy decisions. Keywords: Driver distraction; Language: en