Increasing patient engagement to obtain high-quality data for health research
The systems and methods of the invention provide a network querying or content system which drives high relevance question sets or content to users and presents it in the optimal template to ensure user interaction. In accord with at least one aspect, the system assesses the context (of a user) by interpreting the optimal template based on personality mapping of the user and relevancy mapping of the query or content. In a technically efficient manner, the system employs client-based managers and builders to select, supplement, or build user profiles and user interface templates to optimize queries or content based on a user's present profile. The systems and methods of the invention perform processing, in a technically efficient manner, to assess question or content set interaction and relevancy to generate targeted question sets or content that encourage overall user health and wellness.
1. A computer-implemented method comprising:
obtaining a personality profile for a user, the personality profile indicating one or more personality traits of the user;
accessing query data comprising a plurality of queries each configured to prompt a response from a recipient receiving the query;
generating, based on the personality profile, a personalized set of queries comprising one or more queries to present to the user, wherein generating the personalized set of queries comprises selecting or modifying one or more queries from the plurality of queries based on the personality profile;
causing the one or more queries in the personalized set of queries to be presented to the user by a computing device associated with the user; and
storing one or more responses that are received from the user through the computing device in response to presentation of the one or more queries in the personalized set of queries.
2. The method of claim 1 , wherein at least one of the queries in the plurality of queries is a candidate question to ask the user.
3. The method of claim 1 , wherein the plurality of queries is a plurality of questions available to be asked to the user.
4. The method of claim 1 , wherein at least one of the queries in the plurality of queries is content that prompts interaction with a device that presents the content.
5. The method of claim 1 , wherein generating the personalized set of queries comprises selecting one or more queries from the plurality of queries based on one or more of the personality traits indicated in the personality profile for the user.
6. The method of claim 1 , wherein generating the personalized set of queries comprises:
modifying a query from the plurality of queries based on one or more of the personality traits indicated in the personality profile for the user; and
including the modified query in the personalized set of queries.
7. The method of claim 1 , comprising selecting or adjusting a format for presenting one or more queries in the personalized set of queries based on the personality profile for the user.
8. The method of claim 1 , comprising obtaining, for each of the queries in the plurality of queries, a personality score that indicates an applicability of the query for the personality traits of the user; and
wherein the personalized set of queries is determined based on the personality scores.
9. The method of claim 8 , wherein generating the personalized set of queries comprises determining, based on the personality scores, at least one of (i) a set of queries from the plurality of queries to include in the personalized set of queries or (ii) a sequence of presentation for the queries in the personalized set of queries.
10. The method of claim 1 , wherein the personality profile for the user is based on responses of the user to a set of questions or prompts, wherein the personality profile indicates, for the user, a level of at least one of openness to new experiences, conscientiousness, extroversion, agreeableness, or neuroticism.
11. The method of claim 1 , wherein the personality profile is further based on personality data inferred from interactions of the user with the computing device.
12. The method of claim 1 , comprising:
tracking behavior of the user, including whether the user responds to different queries presented using the computing device;
determining, based on the tracked behavior, a measure of relevance of query types, query topics, or query properties for the user; and
wherein the personalized set of queries is generated based on the measures of relevance.
13. The method of claim 1 , comprising generating, for each query in the plurality of queries, a relevance score indicating a relevance of the query to a current context of the user;
wherein the personalized set of queries is generated based on the relevance scores for the plurality of queries.
14. The method of claim 13 , wherein the relevance scores are generated based on sensor data collected using one or more sensors, wherein the sensor data describes one or more aspects of a current context of the user.
15. The method of claim 1 , comprising selecting, from among a plurality of user interface templates, a user interface template with which to present the query, wherein the user interface template is selected based on the personality profile.
16. The method of claim 1 , further comprising collecting contextual data that describes a context in which the user provided the one or more responses to the personalized set of queries.
17. A system comprising:
one or more computers; and
one or more computer-readable media storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
obtaining a personality profile for a user, the personality profile indicating one or more personality traits of the user;
accessing query data comprising a plurality of queries each configured to prompt a response from a recipient receiving the query;
generating, based on the personality profile, a personalized set of queries comprising one or more queries to present to the user, wherein generating the personalized set of queries comprises selecting or modifying one or more queries from the plurality of queries based on the personality profile;
causing the one or more queries in the personalized set of queries to be presented to the user by a computing device associated with the user; and
storing one or more responses that are received from the user through the computing device in response to presentation of the one or more queries in the personalized set of queries.
18. The system of claim 17 , wherein at least one of the queries in the plurality of queries is a candidate question to ask the user.
19. The system of claim 17 , wherein at least one of the queries in the plurality of queries is content that prompts interaction with a device that presents the content.
20. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising:
obtaining a personality profile for a user, the personality profile indicating one or more personality traits of the user;
accessing query data comprising a plurality of queries each configured to prompt a response from a recipient receiving the query;
generating, based on the personality profile, a personalized set of queries comprising one or more queries to present to the user, wherein generating the personalized set of queries comprises selecting or modifying one or more queries from the plurality of queries based on the personality profile;
causing the one or more queries in the personalized set of queries to be presented to the user by a computing device associated with the user; and
storing one or more responses that are received from the user through the computing device in response to presentation of the one or more queries in the personalized set of queries.