Prosecution Insights
Last updated: April 19, 2026
Application No. 18/883,074

INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD

Final Rejection §103
Filed
Sep 12, 2024
Examiner
WON, MICHAEL YOUNG
Art Unit
2443
Tech Center
2400 — Computer Networks
Assignee
Toyota Jidosha Kabushiki Kaisha
OA Round
2 (Final)
80%
Grant Probability
Favorable
3-4
OA Rounds
3y 0m
To Grant
99%
With Interview

Examiner Intelligence

Grants 80% — above average
80%
Career Allow Rate
666 granted / 835 resolved
+21.8% vs TC avg
Strong +29% interview lift
Without
With
+28.7%
Interview Lift
resolved cases with interview
Typical timeline
3y 0m
Avg Prosecution
28 currently pending
Career history
863
Total Applications
across all art units

Statute-Specific Performance

§101
7.5%
-32.5% vs TC avg
§103
46.5%
+6.5% vs TC avg
§102
32.9%
-7.1% vs TC avg
§112
8.0%
-32.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 835 resolved cases

Office Action

§103
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 . DETAILED ACTION 2. This action is in response to the amendment filed February 3, 2026. 3. Claims 1 and 5 have been amended, claims 2-4 canceled, and new claim 6 has been added. 4. Claims 1, 5, and 6 have been examined and are pending with this action. Response to Arguments 5. Applicant's arguments filed February 3, 2026 have been fully considered but are moot because the arguments do not apply to any of the references being used in the current rejection. Lo (US 2014/0229462 A1), herein referenced Lom has been cited to better teach the amended claim limitations. Cotton et al. (US 2018/0108058 A1), herein referenced Cotton, is still applicable to teach the missing limitation the network is an in-vehicle network. For these reasons above, and the rejections set forth below, claims 1, 5, and 6 have been rejected and pending. Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. 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. 6. Claims 1-5 are rejected under 35 U.S.C. 103 as being unpatentable over Lo (US 2014/0229462 A1) in view of Cotton et al. (US 2018/0108058 A1). As per claim 1, Lo teaches an information processing device comprising a processor configured to: acquire first data collected via a network (see Lo, Abstract: “A system and method that includes providing a query platform with a normalized query tool and a collection interface presenting result items of a collection; adding result items produced by the query tool to a collection, wherein adding a result item to the collection comprising: receiving a query input in a query syntax normalized across multiple query services, retrieving result data of the first query input through a service provider application programming interface (API),… and adding the result item to the collection; and adding at least a second result item to the collection, wherein the second result card is retrieved from a second external service provider API according to the context parameter.”; [0027]: “A card stream interface 110 functions as a collection of digital query result items (e.g., "cards"). The card stream interface 110 is a user interface for interaction with the query platform system.”; and [0051]: “The query platform can use machine learning and other data analysis techniques to predict similar services and queries. Customized services can preferably be fully integrated into the query platform. By enabling outside entities to create and integrate new services, the query platform can grow to supply an ever-increasing range of data formats. Services may additionally be monetized by accounting, metering, charging, measuring, or monitoring usage of a particular service.”); generate second data by converting the first data such that the second data is on a format supported by a first terminal associated with a first user (see Lo, FIGURE 9, S300; and [0029]: “Normalized query inputs are generalized to common format that can be converted to a native query input supplied to an associated service API module.”; and [0053]: “Additionally, between any two cards there can exist an associative trail of metadata, where context of one card is used to augment or modify another card.”); determine whether the request is sent from the first terminal or the second terminal (see Lo, [0068]: “a collection and more specifically at least one result card may be rendered differently depending on who is accessing the collection. The augmentation of the collection is preferably automatic based on settings of the user, usage patterns of the user, or detected properties of the user.”), transmit the second data to the first terminal in a case where the processor determined that the request is sent from the first terminal (see Lo, [0027]: “The card stream interface 110 is preferably presented in a website but may alternatively or additionally be implemented as a mobile application, a desktop application or any suitable application rendering a user interface… The cards are preferably rendered in the stream as a vertically scrollable list of cards. A user can review the previous queries and results (explicitly saved or from query history) by scrolling through the cards and optionally expanding upon queries through interacting with previous cards.”; and [0034]: “In one variation, a card is rendered in a consistent manner across queries to a particular service or more preferably to queries to similar services… ”); and generate third data by deleting the information from the second data in a case where the processor determines that the request is sent from the second terminal (see Lo, [0068]: “In a variation of a preferred embodiment, modifying a collection can include presenting and augmenting the collection according to a second user S330, as shown in FIG. 18… a collection and more specifically at least one result card may be rendered differently depending on who is accessing the collection. The augmentation of the collection is preferably automatic based on settings of the user, usage patterns of the user, or detected properties of the user… In this way sensitive data may be removed and non-sensitive data of the result card still presented. Enforcing the permissions may be used such that result cards may be used for retrieving personal or sensitive information that would not be appropriate for displaying to other viewers of a collection.”), and transmit the third data to the second terminal in response to generating the third data (see Lo, [0068]: “… and non-sensitive data of the result card still presented”). Lo does not explicitly teach that the first data is acquired via in-vehicle network. Cotton teach that the first data is acquired via in-vehicle network (see Cotton, Abstract: “The visual discovery tool can include at least one hardware processor in communication with the extraction device and the vehicle alert database.”; [0068]: “The extraction (e.g., importation) of data can vary based on the type of data. For example, information related to vehicle service (e.g., service alerts, service alert email notifications, vehicle mileage, service history) may be updated more frequently (e.g., every 15 minutes). Information related to appointments (e.g., pending service alerts, appointment email notifications) may be extracted less frequently (e.g., hourly). Sales or pending sales information (e.g., sales reports, closing alerts, false conquests) may be extracted daily. Information related to inventory (e.g., alerts in a change of used vehicles status, vehicle information in inventory) may also be updated daily. One or more algorithms, such as a file watcher, may track updates from one or more source databases and/or make determinations on when and/or to what extent updated data should be extracted. Thus, extractions may occur at non-regular intervals under the circumstances.”). It would have been obvious to a person of ordinary skill in the art before the effective filing date of the invention to modify the system of Lo in view of Cotton so that the first data is acquired via in-vehicle network. One would be motivated to do so because it is well-known, widely-implemented, routine, and conventional to acquire data from any network regarding any information because the type and origination of data is subjective and does not functionally distinguish the invention in terms of patentability. As per claim 5, Lo and Cotton teach an information processing method comprising: acquiring first data collected via an in-vehicle network (see Claim 1 rejection above); generating second data by converting the first data such that the second data is on a format supported by a first terminal associated with first user (see Claim 1 rejection above); determining whether the request is sent from the first terminal or the second terminal (see Claim 1 rejection above); transmitting the second data to the first terminal in a case where the request is determined to be sent from the first terminal (see Claim 1 rejection above); generating third data by deleting the information from the second data in a case where the processor determines that the request is sent from the second terminal (see Claim 1 rejection above); and transmitting the third data to the second terminal in response to generating the third data (see Claim 1 rejection above). As per claim 6, which depends on claim 1, Lo and Cotton further teach wherein the first data is not in a format supported by either the first terminal or the second terminal (see Lo, [0029]: “Normalized query inputs are generalized to common format that can be converted to a native query input supplied to an associated service API module.”). Conclusion 7. For the reasons above, claims 1-5 have been rejected and remain pending. 8. Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. 9. Any inquiry concerning this communication or earlier communications from the examiner should be directed to MICHAEL Y WON whose telephone number is (571)272-3993. The examiner can normally be reached on Wk.1: M-F: 8-5 PST & Wk.2: M-Th: 8-7 PST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Nicholas R Taylor can be reached on 571-272-3889. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /Michael Won/Primary Examiner, Art Unit 2443
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Prosecution Timeline

Sep 12, 2024
Application Filed
Nov 14, 2025
Non-Final Rejection — §103
Feb 03, 2026
Response Filed
Feb 25, 2026
Final Rejection — §103
Mar 20, 2026
Interview Requested

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
80%
Grant Probability
99%
With Interview (+28.7%)
3y 0m
Median Time to Grant
Moderate
PTA Risk
Based on 835 resolved cases by this examiner. Grant probability derived from career allow rate.

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