MEASURING DRIVING VARIABILITY UNDER POTENTIALLY DISTRACTING CONDITIONS
First Claim
1. A method, executed by one or more processors, the method comprising:
- receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user;
identifying a potentially distracting condition for the user encountered during the one or more driving sessions;
determining one or more distraction-free intervals and one or more distraction-present intervals corresponding to driving during the one or more driving sessions; and
comparing movement data corresponding to the one or more distraction-free intervals with movement data corresponding to the one or more distraction-present intervals to produce distraction effect information.
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Accused Products
Abstract
A method, executed by a computer, includes receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user and identifying a potentially distracting condition for the user encountered during the one or more driving sessions. The method also includes determining one or more distraction-free intervals and one or more distraction-present intervals corresponding to driving during the one or more driving sessions. The method also includes comparing movement data corresponding to the one or more distraction-free intervals with movement data corresponding to the one or more distraction-present intervals to produce distraction effect information. A computer system and computer program product corresponding to the method are also disclosed herein.
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20 Claims
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1. A method, executed by one or more processors, the method comprising:
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receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user; identifying a potentially distracting condition for the user encountered during the one or more driving sessions; determining one or more distraction-free intervals and one or more distraction-present intervals corresponding to driving during the one or more driving sessions; and comparing movement data corresponding to the one or more distraction-free intervals with movement data corresponding to the one or more distraction-present intervals to produce distraction effect information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer system comprising:
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one or more computer processors; one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising instructions to perform; receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user; identifying a potentially distracting condition for the user encountered during the one or more driving sessions; determining one or more distraction-free intervals and one or more distraction-present intervals corresponding to driving during the one or more driving sessions; and comparing movement data corresponding to the one or more distraction-free intervals with movement data corresponding to the one or more distraction-present intervals to produce distraction effect information. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. A computer program product comprising:
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one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising instructions to perform; receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user; identifying a potentially distracting condition for the user encountered during the one or more driving sessions; determining one or more distraction-free intervals and one or more distraction-present intervals corresponding to driving during the one or more driving sessions; and comparing movement data corresponding to the one or more distraction-free intervals with movement data corresponding to the one or more distraction-present intervals to produce distraction effect information.
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Specification