Prosecution Insights
Last updated: April 19, 2026
Application No. 18/898,980

VEHICLE PERSONALIZATION SETTING SYSTEM AND VEHICLE PERSONALIZATION SETTING METHOD

Non-Final OA §102
Filed
Sep 27, 2024
Examiner
DEROSE, VOLVICK
Art Unit
2176
Tech Center
2100 — Computer Architecture & Software
Assignee
DENSO CORPORATION
OA Round
1 (Non-Final)
90%
Grant Probability
Favorable
1-2
OA Rounds
2y 5m
To Grant
99%
With Interview

Examiner Intelligence

Grants 90% — above average
90%
Career Allow Rate
563 granted / 625 resolved
+35.1% vs TC avg
Moderate +11% lift
Without
With
+10.6%
Interview Lift
resolved cases with interview
Typical timeline
2y 5m
Avg Prosecution
13 currently pending
Career history
638
Total Applications
across all art units

Statute-Specific Performance

§101
3.6%
-36.4% vs TC avg
§103
49.3%
+9.3% vs TC avg
§102
33.1%
-6.9% vs TC avg
§112
4.1%
-35.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 625 resolved cases

Office Action

§102
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 Claims 1-4 are presented for examination Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claims 1-4 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Myer (US Patent Application 20220144139). As per claim 1, Myer teaches a vehicle personalization setting system [200, fig. 2] that sets personalization setting information for at least one vehicle instrument [105, fig. 1] for each of at least one individual [the seat adjustment algorithm may be personalized and configured to place each user in an optimal position based on the inputted information: 0031] recognized by an individual recognition unit [seat ECU: 0048], the system comprising [0031, 0048, as pointed out the seat can be personalized for specific user of the vehicle where the information is recognized by the seat ECU to identify users of the vehicle]: an external information acquisition unit [remote device: 0031] configured to acquire, from an outside of a vehicle, the personalization setting information of the at least one vehicle instrument for each individual, the information being stored [the one or more seat adjustment inputs are stored on a remote device and transferred to controller via wireless: 0003] in an outside based on an individual recognized by the individual recognition unit [0030-0031, as shown in figure 3, Seat ECU 325 works with Telematics ECU 335 with a remote device to send information to the remote device wirelessly where the remote device can be a server]. a storage that stores [seat adjustment algorithm stored locally: 0034] the personalization setting information of the at least one vehicle instrument mounted in the vehicle, wherein the personalization setting information was previously set [0034, 0041, as pointed out the seat ECU includes memory that stores seat adjustment information for each user who uses the vehicle. In this case, the information stored before transferred to the remote device or server witlessly as pointed out previously]. a setting unit [preloaded settings: 0040] configured to read and set the personalization setting information stored in the storage in the vehicle, until the personalization setting information stored in the outside of the vehicle is acquired [0040, 0049, fig. 7, as pointed out during the usage of the vehicle, the settings are loaded from the local data store until there is internet connection where the data then can be loaded from the remove server]. As per claim 4, Myer teaches vehicle personalization setting system that sets personalization setting information for at least one vehicle instrument for each of at least one individual recognized by an individual recognition unit including a first processor [Seat ECU 325 includes a processor: 0048], the system comprising: [0031, 0048, as pointed out the seat can be personalize for specific user of the vehicle where the informant is recognized by the seat ECU to identify users of the vehicle]: a second processor [Telematics ECU 335 includes a processor: 0030]. a memory coupled to the second processor and storing program instructions that when executed by the second processor cause the second processor to [0072, computing instruction to execute to perform the task]. acquire, from an outside of a vehicle, the personalization setting information of the at least one vehicle instrument for each individual, the information being stored in an outside based on an individual recognized by the individual recognition unit [0030-0031, as shown in figure 3, Seat ECU 325 works with Telematics ECU 335 with a remote device to send information to the remote device wirelessly where the remote device can be a server]. store the personalization setting information of the at least one vehicle instrument mounted in the vehicle, wherein the personalization setting information was previously set [0034, 0041, as pointed out the seat ECU include memory that store seat adjustment information for each user who uses the vehicle. In this case, the information stored before transferred to the remote device or served witlessly as pointed out previously]. read and set the personalization setting information stored in the vehicle, until the personalization setting information stored in the outside of the vehicle is acquired [0040, 0049, fig. 7, as pointed out during the usage of the vehicle, the settings are loaded from the local data store until there is internet connection where the data then cand bel loaded from the remove server]. As per claim 2, My teaches the personalization setting information stored in the outside of the vehicle is external information [0003, the one or more seat adjustment inputs are stored on a remote device and transferred to controller via wireless]. the personalization setting information stored in the storage in the vehicle is internal information [0034, seat adjustment algorithm stored locally]. the setting unit determines an acquisition state of the external information of the at least one vehicle instrument of the at least one individual [0046, no internet connection with the remote device. For example, for changes to be made to the seat adjustment algorithm even when there may be no internet connection and the remote device is not in connection]. when determining that the acquisition state is delayed compared with a normal state, the setting unit reads and sets the internal information of the at least one vehicle instrument of the at least one individual [0048-0049, if there is not connection, then the adjustment is done locally using local data store and reconnect to adjust when connection is available]. As per claim 3, Myer teaches a vehicle personalization setting method that sets personalization setting information for at least one vehicle instrument for each of at least one individual recognized by an individual recognition unit, the method comprising [0031, 0048, as pointed out the seat can be personalize for specific user of the vehicle where the informant is recognized by the seat ECU to identify users of the vehicle]: causing the individual recognition unit to recognize the at least one individual [0031, the seat adjustment algorithm may be personalized and configured to place each user in an optimal position based on the inputted information]. acquiring, from an outside of the vehicle, the personalization setting information of the at least one vehicle instrument for each individual, the information being stored in the outside based on the recognized individual [0030-0031, as shown in figure 3, Seat ECU 325 works with Telematics ECU 335 with a remote device to send information to the remote device wirelessly where the remote device can be a server]. reading and setting the personalization setting information of the at least one vehicle instrument of the at least one individual from a storage that is mounted in the vehicle and storing the personalization setting information until the personalization setting information stored in the outside of the vehicle is acquired [0040, 0049, fig. 7, as pointed out during the usage of the vehicle, the settings are loaded from the local data store until there is internet connection where the data then cand bel loaded from the remove server]. wherein the personalization setting information stored in the storage was previously set [0040, 0049, read previous setting information or pre-loaded information that was previously loaded during wireless or internet connection]. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Zender (US 20210094492) teaches multi-modal keyless-seat in car personalization. Ross (US 2005) teaches system and method for personalized access to vehicle data services through portals. Any inquiry concerning this communication or earlier communications from the examiner should be directed to VOLVICK DEROSE whose telephone number is (571)272-6260. The examiner can normally be reached on Monday-Friday 9AM-6PM. 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, Jaweed Abbaszadeh can be reached on 571.270.1640. 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. /VOLVICK DEROSE/Primary Examiner, Art Unit 2176
Read full office action

Prosecution Timeline

Sep 27, 2024
Application Filed
Mar 04, 2026
Non-Final Rejection — §102 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12578775
HIGH-BANDWIDTH POWER ESTIMATOR
2y 5m to grant Granted Mar 17, 2026
Patent 12574337
COMPUTING POWER RESOURCE SCHEDULING METHOD AND RELATED APPARATUS
2y 5m to grant Granted Mar 10, 2026
Patent 12561544
DYNAMIC QUICK-RESPONSE CODES (QR CODES) FOR ELECTRIC VEHICLE (EV) CHARGERS THAT ARE USED FOR CONFIGURATION/COMMISSIONING OR OPERATION AT DIFFERENT POINTS IN TIME
2y 5m to grant Granted Feb 24, 2026
Patent 12549346
DEVICE IDENTITY KEYS
2y 5m to grant Granted Feb 10, 2026
Patent 12547227
INFORMATION PROCESSING APPARATUS AND CONTROL METHOD
2y 5m to grant Granted Feb 10, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
90%
Grant Probability
99%
With Interview (+10.6%)
2y 5m
Median Time to Grant
Low
PTA Risk
Based on 625 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month