“Systems And Methods For Intelligent Voice-Based Journaling And Therapies” in Patent Application Approval Process (USPTO 20200152304)
2020 JUN 01 (NewsRx) -- By a
This patent application is assigned to
The following quote was obtained by the news editors from the background information supplied by the inventors: “Mental health is often heavily underserved in America and to an even greater degree abroad. According to the
“There is a corpus of studies which validate that the expression of emotionally upsetting experiences by writing or talking improves physical health (i.e., journaling), enhances immune function, and results in fewer visits to medical practitioners. Key research in expressive writing include surprising findings for various problems including asthma and rheumatoid arthritis with 20 percent improvement in lung function and a 28 percent reduction in disease severity, memory function for college freshman with better working memory after 7 weeks, wound healing on punch biopsy in the upper arm with significantly smaller wounds 14 days after the puncture, irritable bowel syndrome improved disease severity, blood pressure and infectious disease improvements for African-Americans and homosexual men, and improved employment outcomes for job seekers, just to name a few. It has been found that 84 percent of surveyed women both domestically and abroad have well-understood daily challenges; however, less than 2 percent had a mitigating workflow to address ongoing stress, anxiety, and depression.
“Journaling therapies can be based on Pennebaker’s Paradigm, which has shown that in over two hundred clinical trials, expressive writing helps patients with stress, anxiety, and depression immediately following treatment and months beyond. Talking about our problems and the frequency at which we articulate these concerns into a journal provides a rich historical account much more accurate than recounting how we feel at the doctor’s office in ten to fifteen-minute appointments. This is important because historical records can reduce skew on how our days actually went. The current challenge of mental health assessments like the PHQ-9 and GAD-7 evaluations is that they suffer from recency bias.
“Despite the understood benefits of journaling therapy, people may often find it difficult to access proper services. Beyond the oftentimes prohibitive costs, the number of available therapists may be insufficient to render proper care to the potential pool of patients. For example, as of 2010,
In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventors’ summary information for this patent application: “[Systems and methods for providing therapies from voice-based journaling in accordance with embodiments of the invention are disclosed. In one embodiment, the system includes a processor, a memory communicatively coupled to the processor, the memory including a journaling logic to receive a plurality of voice journal entries from a user the received voice journal entries comprise at least voice data and contextual data, an analyzer logic configured to extract textual data from the plurality of voice journal entries, generate a sentiment analysis score based on the textual data, generate an emotional classification score based on the voice data, the textual data and the contextual data, and determine at least one user recommendation based on the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data, and a user interface logic configured to display the at least one user recommendation to the user, and receive, from the user, feedback data associated with the at least one user recommendation.
“In another embodiment, the contextual data includes journal entry metadata.
“In further embodiments, the contextual data includes manual classification data.
“In more embodiments, only the voice data is utilized to extract the textual data.
“In a variety of embodiments, the at least one user recommendation is a therapy.
“In a some embodiments, the therapy is a clinical therapy.
“In various other embodiments, the therapy is a non-clinical therapy.
“In still further embodiments, the system utilizes an external computing service to generate the sentiment analysis score.
“In yet additional embodiments, the external computing service is an on-demand cloud-based computing service.
“In further additional embodiments, the system utilizes an external computing service to generate the emotional classification score.
“In yet further embodiments, the external computing service is an on-demand cloud-based computing service.
“In still yet additional embodiments, the system further includes a communication logic configured to extract personal identification data from the voice data, the textual data, and the contextual data to generate non-identifying voice data, non-identifying textual data, and non-identifying contextual data, generate at least one anonymous identification marker the anonymous identification marker can be utilized to recognize the source of transmitted data, transmit the non-identifying voice data, non-identifying textual data, non-identifying contextual data, and at least one anonymous identification marker to the on-demand cloud-based computing service, receive an emotional classification score from the on-demand cloud-based computing service, and provide the emotional classification score to the analyzer logic for determination of the at least one user recommendation.
“In many embodiments, a method to provide therapies from voice-based journaling, includes receiving a plurality of voice journal entries from a user the voice journal entries comprise at least voice data, and contextual data, extracting textual data from the plurality of voice journal entries, generating a sentiment analysis score based on the textual data, generating an emotional classification score based on the voice data, the textual data and the contextual data, determining at least one user recommendation based on the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data, providing the determined at least one user feedback to the user, and receiving from the user, feedback data associated with the at least one user recommendation.
“In various embodiments, the method further includes displaying, on a computing device display, at least one determined visual feedback response the visual feedback response determination is based on at least the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data.
“In some embodiments, the journal entry metadata includes global positioning system (GPS) data.
“In more embodiments, the journal entry metadata includes time and date data.
“In a variety of embodiments, the received feedback data is utilized to determine subsequent user recommendations.
“In still more embodiments, the method utilizes an external computing service to generate the emotional classification score.
“In more further embodiments, the external computing service is an on-demand cloud-based computing service.
“In a number of embodiments, a system for providing therapies from voice-based journaling, includes a processor, a memory communicatively coupled to the processor, the memory including a journaling logic to receive a plurality of voice journal entries from a user the received voice journal entries comprise at least voice data and contextual data, an analyzer logic configured to extract textual data from the plurality of voice journal entries, generate a sentiment analysis score based on the textual data, generate an emotional classification score based on the voice data, the textual data and the contextual data, determine at least one user recommendation based on the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data, and determine at least one visual feedback response the visual feedback response the visual feedback response is based on at least the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data, and a user interface logic configured to display the at least one user recommendation to the user, display the at least one visual feedback response to the user, and receive, from the user, feedback data associated with the at least one user recommendation.”
The claims supplied by the inventors are:
“1. A system for providing therapies from voice-based journaling, the system comprising: a processor; a memory communicatively coupled to the processor, the memory comprising: a journaling logic to receive a plurality of voice journal entries from a user wherein the received voice journal entries comprise at least voice data and contextual data; an analyzer logic configured to: extract textual data from the plurality of voice journal entries; generate a sentiment analysis score based on the textual data; generate an emotional classification score based on the voice data, the textual data and the contextual data; and determine at least one user recommendation based on the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data; and a user interface logic configured to: display the at least one user recommendation to the user; and receive, from the user, feedback data associated with the at least one user recommendation.
“2. The system of claim 1, wherein the contextual data comprises journal entry metadata.
“3. The system of claim 1, wherein the contextual data includes manual classification data.
“4. The system of claim 1, wherein only the voice data is utilized to extract the textual data.
“5. The system of claim 1, wherein the at least one user recommendation is a therapy.
“6. The system of claim 1, wherein the system utilizes an external computing service to generate the sentiment analysis score.
“7. The system of claim 6, wherein the external computing service is an on-demand cloud-based computing service.
“8. The system of claim 1, wherein the system utilizes an external computing service to generate the emotional classification score.
“9. The system of claim 8, wherein the external computing service is an on-demand cloud-based computing service.
“10. The system of claim 9, wherein the system further comprises a communication logic configured to: extract personal identification data from the voice data, the textual data, and the contextual data to generate non-identifying voice data, non-identifying textual data, and non-identifying contextual data; generate at least one anonymous identification marker wherein the anonymous identification marker can be utilized to recognize the source of transmitted data; transmit the non-identifying voice data, non-identifying textual data, non-identifying contextual data, and at least one anonymous identification marker to the on-demand cloud-based computing service; receive an emotional classification score from the on-demand cloud-based computing service; and provide the emotional classification score to the analyzer logic for determination of the at least one user recommendation.
“11. A method to provide therapies from voice-based journaling, the method comprising: receiving a plurality of voice journal entries from a user wherein the voice journal entries comprise at least voice data, and contextual data; extracting textual data from the plurality of voice journal entries; generating a sentiment analysis score based on the textual data; generating an emotional classification score based on the voice data, the textual data and the contextual data; determining at least one user recommendation based on the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data; providing the determined at least one user feedback to the user; and receiving from the user, feedback data associated with the at least one user recommendation.
“12. The method of claim 11, wherein the contextual data comprises journal entry metadata.
“13. The method of claim 11, wherein the contextual data includes manual classification data.
“14. The method of claim 11, wherein the at least one user recommendation is a therapy.
“15. The method of claim 11, wherein the method further comprises displaying, on a computing device display, at least one determined visual feedback response wherein the visual feedback response determination is based on at least the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data.
“16. The method of claim 11, wherein the journal entry metadata comprises global positioning system (GPS) data.
“17. The method of claim 11, wherein the journal entry metadata comprises time and date data.
“18. The method of claim 11, wherein the received feedback data is utilized to determine subsequent user recommendations.
“19. The method of claim 11, wherein the method utilizes an external computing service to generate the emotional classification score.
“20. The method of claim 19, wherein the external computing service is an on-demand cloud-based computing service.
“21. A system for providing therapies from voice-based journaling, the system comprising: a processor; a memory communicatively coupled to the processor, the memory comprising: a journaling logic to receive a plurality of voice journal entries from a user wherein the received voice journal entries comprise at least voice data and contextual data; an analyzer logic configured to: extract textual data from the plurality of voice journal entries; generate a sentiment analysis score based on the textual data; generate an emotional classification score based on the voice data, the textual data and the contextual data; determine at least one user recommendation based on the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data; and determine at least one visual feedback response wherein the visual feedback response wherein the visual feedback response is based on at least the sentiment analysis score, emotional classification score, voice data, textual data, and contextual data; and a user interface logic configured to: display the at least one user recommendation to the user; display the at least one visual feedback response to the user; and receive, from the user, feedback data associated with the at least one user recommendation.”
URL and more information on this patent application, see: Chang, Grace; Seiilova-Olson, Rima. Systems And Methods For Intelligent Voice-Based Journaling And Therapies. Filed
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