DETAILED ACTION
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Priority
Receipt is acknowledged of certified copies of papers required by 37 CFR 1.55.
Allowable Subject Matter
Claim(s) 2-8 and 11-17 is/are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
Claim Rejections - 35 USC § 103
The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action:
A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made.
Claim(s) 1, 10 and 18 is/are rejected under 35 U.S.C. 103 as being unpatentable over Nagar (US 2022/0092141) in view of Yeung (US 2017/0178011).
Regarding claim(s) 1, 10 and 18, Nagar teaches:
A data reading method, comprising: acquiring user behavior data and multiple page screenshots of a target application prior to a current moment, wherein the page screenshots are obtained by capturing a display page of the target application; (i) a machine learning and IoT (Internet of things) based system and method to predict information within the application (to which current screen belongs) which a user wants to capture as a screenshot; (ii) captures the screenshot with required information, on the first command (to capture the screenshot) from the user;
determining, based on the multiple page screenshots and the user behavior data, prefetch data to be read by the target application next time; (iii) the method includes the following operations: (a) derives the context of the intended screenshot, based on user's recent activities on the device, activity history, IoT Data, communications and social media, (b) detects parts of the screen and active applications that are relevant to derived context, (c) captures only that relevant part of the screen/active-application in a screenshot, (d) based on the derived context, if required, captures the information from other sources (for example, opened files, browser pages, or any other accessible information including public information) and appends them into the main screenshot.
Nagar does not explicitly teach, but Yeung teaches and downloading the prefetch data from a first server and storing the prefetch data in a local storage device, so that when a next read request for the target application hits the prefetch data, the prefetch data is read from the local storage device. [0058] In an example, prediction of user behavior may be utilized to prefetch information and/or data into local memory, e.g., memory 122 and/or memory 142, in anticipation of a user request for the information. The information may include, but is not limited to, user profile data, device user interface assets, information stored to the cloud, etc. Prefetching the information is configured to reduce a response time experienced by the user if the user requests such information.
It would have been obvious to a person having ordinary skill in the art, before the effective filing date of the invention, to combine the user request prediction computing system of Nagar with the data prefetching system/method of Yeung. The motivation for doing so would have been to reduce response time experienced by the user if the user requests such information. This is taught by Yeung in [0058].
Conclusion
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure.
Josephson (US 2024/0106905): discloses system/method for collecting, analyzing, predicting and outputting user activity metrics.
Any inquiry concerning this communication or earlier communications from the examiner should be directed to CHARLES J CHOI whose telephone number is (571)270-0605. The examiner can normally be reached MON-FRI: 9AM-5PM EST.
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/CHARLES J CHOI/Primary Examiner, Art Unit 2133
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