Estimating document reading and comprehension time for use in time management systems
View Patent ↗A method and device. The device determines an initial estimate of an amount of time for a generic user to read a document, wherein the initial estimate is determined based on a value of one or more parameters associated with the document. The device determines an estimate correction parameter for modifying the determined initial estimate to compensate for a particular user who will read the document, a particular context n which the particular user will read the document, or a combination thereof. The device uses the initial estimate and the estimate correction parameter to determine an estimate of the amount of time for the particular user to read the document.
1. A method implemented by a hardware device, said method comprising:
determining, by the hardware device, an initial estimate of an amount of time for a generic user to read a document, wherein the initial estimate is determined based on a value of one or more parameters associated with the document;
receiving, by the hardware device, context parameters that impact an amount of time for a particular user to read the document, said receiving context parameters comprising receiving environmental conditions and receiving user fatigue conditions, said receiving environmental conditions comprising receiving temperatures from a thermometer and noise levels from a microphone, said receiving user fatigue conditions comprising receiving health data from a blood pressure monitor, a heart rate monitor, and a stress management device, said received health data pertaining to the particular user;
determining, by the hardware device using at least the received context parameters, an estimate correction parameter for modifying the determined initial estimate of an amount of time for a generic user to read a document; and
ascertaining, by the hardware device using the initial estimate and the estimate correction parameter, an estimate of the amount of time for the particular user to read the document, said ascertaining comprising: (a) training an algorithm to perform predictive analysis to determine a set of weights for each profile parameter of a predefined set of profile parameters based on historical data relating to previous readings of documents by users, said algorithm comprising the profile factors, said profile parameters relating to factors that impact the amount of time for the particular user to read the document; and (b) executing, by the hardware device, the algorithm to determine the estimate of the amount of time for the particular user to read the document.
2. The method of claim 1 , wherein said determining the estimate correction parameter comprises:
receiving document data relating to the document, wherein the document data comprise one or more values of document parameters relating to the document, and wherein the document parameters relate to factors that impact the amount of time for the particular user to read the document.
3. A system, comprising a hardware device configured to implement a method, said method comprising:
determining, by the hardware device, an initial estimate of an amount of time for a generic user to read a document, wherein the initial estimate is determined based on a value of one or more parameters associated with the document;
receiving, by the hardware device, context parameters that impact an amount of time for a particular user to read the document, said receiving context parameters comprising receiving environmental conditions and receiving user fatigue conditions, said receiving environmental conditions comprising receiving temperatures from a thermometer and noise levels from a microphone, said receiving user fatigue conditions comprising receiving health data from a blood pressure monitor, a heart rate monitor, and a stress management device, said received health data pertaining to the particular user;
determining, by the hardware device using at least the received context parameters, an estimate correction parameter for modifying the determined initial estimate of an amount of time for a generic user to read a document; and
ascertaining, by the hardware device using the initial estimate and the estimate correction parameter, an estimate of the amount of time for the particular user to read the document, said ascertaining comprising: (a) training an algorithm to perform predictive analysis to determine a set of weights for each profile parameter of a predefined set of profile parameters based on historical data relating to previous readings of documents by users, said algorithm comprising the profile factors, said profile parameters relating to factors that impact the amount of time for the particular user to read the document; and (b) executing, by the hardware device, the algorithm to determine the estimate of the amount of time for the particular user to read the document.
4. The system of claim 3 , wherein said determining the estimate correction parameter comprises:
receiving document data relating to the document, wherein the document data comprise one or more values of document parameters relating to the document, and wherein the document parameters relate to factors that impact the amount of time for the particular user to read the document.
5. A computer program product, comprising a computer readable hardware storage medium having computer readable program code stored therein, said program code containing instructions executable by a hardware device to implement a method, said method comprising:
determining, by the hardware device, an initial estimate of an amount of time for a generic user to read a document, wherein the initial estimate is determined based on a value of one or more parameters associated with the document;
receiving, by the hardware device, context parameters that impact an amount of time for a particular user to read the document, said receiving context parameters comprising receiving environmental conditions and receiving user fatigue conditions, said receiving environmental conditions comprising receiving temperatures from a thermometer and noise levels from a microphone, said receiving user fatigue conditions comprising receiving health data from a blood pressure monitor, a heart rate monitor, and a stress management device, said received health data pertaining to the particular user;
determining, by the hardware device using at least the received context parameters, an estimate correction parameter for modifying the determined initial estimate of an amount of time for a generic user to read a document; and
ascertaining, by the hardware device using the initial estimate and the estimate correction parameter, an estimate of the amount of time for the particular user to read the document, said ascertaining comprising: (a) training an algorithm to perform predictive analysis to determine a set of weights for each profile parameter of a predefined set of profile parameters based on historical data relating to previous readings of documents by users, said algorithm comprising the profile factors, said profile parameters relating to factors that impact the amount of time for the particular user to read the document; and (b) executing, by the hardware device, the algorithm to determine the estimate of the amount of time for the particular user to read the document.
6. The computer program product of claim 5 , wherein said determining the estimate correction parameter comprises:
receiving document data relating to the document, wherein the document data comprise one or more values of document parameters relating to the document, and wherein the document parameters relate to factors that impact the amount of time for the particular user to read the document.