DETAILED ACTION
This action is responsive to the Request for Continued Examination filed on 06/29/2026. Claims 1-21 had been previously canceled. Claims 22 and 26 have been amended. Claims 22-29 are pending in the case. Claims 22 and 26 are independent claims.
Claim Rejections - 35 USC § 112
The following is a quotation of the first paragraph of 35 U.S.C. 112(a):
(a) IN GENERAL.—The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor or joint inventor of carrying out the invention.
The following is a quotation of the first paragraph of pre-AIA 35 U.S.C. 112:
The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor of carrying out his invention.
Claims 22-29 are rejected under 35 U.S.C. 112(a) or 35 U.S.C. 112 (pre-AIA ), first paragraph, as failing to comply with the written description requirement. The claims contain subject matter which was not described in the specification in such a way as to reasonably convey to one skilled in the relevant art that the inventor or a joint inventor, or for applications subject to pre-AIA 35 U.S.C. 112, the inventor(s), at the time the application was filed, had possession of the claimed invention. As to the newly-added “machine learning algorithms that: are trained on data comprising psychometric scores and personality traits from a plurality of users with various psychometric traits” limitation in claims 22 and 26, the closest support appears to be paragraph 62 of the Specification, which only states that a machine learning model “may be trained on a subset of the full user pool of users who have completed the one or more interactive graphical psychometric tests.” In other words, the support in the original specification does not appear to exactly align with the claimed “psychometric scores and personality traits” limitation directly because the support appears to be broader/different in that the model is trained on “users” per se (and not the “scores” and/or “traits” directly).
Response to Arguments
Applicant’s prior art arguments have been fully considered but are moot in view of the grounds of rejection presented above.
Conclusion
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/ALVARO R CALDERON IV/
Examiner, Art Unit 2171
/KIEU D VU/Supervisory Patent Examiner, Art Unit 2171
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