Method and system for building and utilizing interactive software system predictive models using biometric data

Patent metadata

Field	Value
Publication number	US-9891792-B1
Application number	US-201514927677-A
Country	US
Kind code	B1
Filing date	Oct 30, 2015
Priority date	Oct 30, 2015
Publication date	Feb 13, 2018
Grant date	Feb 13, 2018

Abstract

Biometric data is collected to obtain more detailed, connected, and reliable feedback data from users of an interactive software system that has a more empirical and objective basis. The biometric data is then used to create emotional pattern predictive model data representing emotional pattern predictive models associated with users of the interactive software system. The individual emotional pattern predictive models associated with multiple users of the interactive software system are then analyzed and processed to generate emotional pattern profile data for categories of users. These biometric data based predictive models are then used for targeted product diagnosis, targeted interventions, targeted marketing/upsell attempts, and grouping and analysis of feedback and user categories and feedback sources.

First claim

What is claimed is:

1. A method for building and utilizing interactive software system predictive models using biometric data comprising:
providing an interactive software system;
defining biometric data to be obtained and analyzed;
providing one or more biometric data collection systems to obtain the defined biometric data;
monitoring a user's interaction with the interactive software system and obtaining user interaction activity data indicating the user's interaction with the interactive software system at defined times;
using the one or more biometric data collection systems to obtain biometric data associated with the user at defined times as the user interacts with the interactive software system;
correlating the biometric data associated with the user with the user's interaction activity data at the defined times;
obtaining baseline data associated with the user, the baseline data including data indicating when the baseline data was obtained;
analyzing the biometric data associated with the user and correlated to the user's interaction activity data and the baseline data associated with the user, to generate emotional pattern predictive model data representing an emotional pattern predictive model associated with the user;
based, at least in part, on the emotional pattern predictive model associated with the user, modifying one or more features and/or supporting systems associated with the interactive software system to customize an interactive software system user experience to the user; and
presenting the customized interactive software system user experience to the user.

2. The method for building and utilizing interactive software system predictive models using biometric data of claim 1 , wherein the interactive software system is selected from the group of interactive software systems consisting of:
a computing system implemented tax preparation software system;
a network accessed tax preparation software system;
a web-based tax preparation software system;
a cloud-based tax preparation software system;
a computing system implemented business management software system;
a network accessed business management software system;
a web-based business management software system;
a cloud-based business management software system;
a computing system implemented accounting software system;
a network accessed accounting software system;
a web-based accounting software system;
a cloud-based accounting software system;
a computing system implemented financial management system;
a network accessed financial management system;
a web-based financial management system; and
a cloud-based financial management system.

3. The method for building and utilizing interactive software system predictive models using biometric data of claim 1 , wherein the biometric data includes at least one of the biometric data selected from the group of biometric data consisting of:
data acquired from measuring the user's heart beat;
data acquired from measuring the user's eye rotation;
data acquired from measuring the user's eye dilation;
data acquired from measuring the user's skin color;
data acquired from measuring the user's perspiration;
data acquired from measuring the user's respiration;
data acquired from measuring the user's oxygen saturation;
data acquired from measuring the user's blood pressure
data acquired from measuring the user's skin temperature;
data acquired from measuring the user's muscle tension;
data acquired from measuring the user's neural activity;
data acquired from measuring the user's eye blinking;
data acquired from measuring the user's facial expression;
data acquired from measuring the user's voice and/or speech; and
data acquired from measuring the user's interactions with hardware associated with the user's interaction with the interactive software system.

4. The method for building and utilizing interactive software system predictive models using biometric data of claim 1 , wherein an emotional state of the user at a given time is determined based on the biometric data received at that given time and includes at least one of the emotional states selected from the group of emotional states consisting of:
a happy emotional state or happiness;
a sad emotional state or sadness;
a surprised emotional state or surprise;
a fearful emotional state or fear;
a disgusted emotional state or disgust;
an angry emotional state or anger;
a tense emotional state;
a nervous emotional state;
a stressed emotional state;
an upset emotional state;
a frustrated emotional state;
a depressed emotional state;
a bored emotional state;
a fatigued emotional state;
an alert emotional state;
an excited emotional state;
an elated emotional state;
a happy emotional state;
a contented emotional state;
a serene emotional state;
a relaxed emotional state; and
a calm emotional state.

5. The method for building and utilizing interactive software system predictive models using biometric data of claim 1 , wherein the biometric data associated with a user is obtained continuously as the user interacts with the interactive software system.

6. The method for building and utilizing interactive software system predictive models using biometric data of claim 1 , wherein the biometric data associated with a user is obtained on a periodic basis and/or at specific locations within the interactive software system as the user interacts with the interactive software system.

7. The method for building and utilizing interactive software system predictive models using biometric data of claim 1 , wherein the baseline data includes manual feedback data obtained from the user via user responses to one or more questions provided to the user.

8. The method for building and utilizing interactive software system predictive models using biometric data of claim 7 , wherein the manual feedback data obtained from the user is combined with additional baseline data associated with the user to create reference set data for the user.

9. The method for building and utilizing interactive software system predictive models using biometric data of claim 8 , wherein the additional baseline data associated with the user includes one or more of:
data acquired from the user's own characterization of his or her emotional state;
data acquired from historical user data; and
data acquired from a segment of users having characteristics comparable to the user.

10. The method for building and utilizing interactive software system predictive models using biometric data of claim 1 , wherein modifying one or more features and/or supporting systems associated with the interactive software system to customize an interactive software system user experience to the user includes modifying one or more of the following:
a sequence with which interview questions are presented to the user;
content or topics of the interview questions that are presented to the user;
font sizes used while presenting information to the user;
length of descriptions provided to the user;
themes presented to the user;
categories of icons displayed to the user;
categories of interface formats presented to the user;
interface displays presented to the user;
interface devices suggested to the user;
images displayed to the user;
assistance resources listed and/or recommended to the user;
when assistance resources are offered/provided to the user;
wording used in the interactive software system;
ordering of interactions used in the interactive software system;
user recommendations presented to the user;
backgrounds presented to the user;
background audio presented to the user;
avatars and/or icon

Assignees

• Intuit Inc

Inventors

• Morin Yao H
• Caro Vi Joy
• Mascaro Massimo
• Cabrera Luis Felipe
• Eftekhari Amir
• Huang Nankun
• Omalley Damian
• Tawanghar Art

Classifications

• G06F17/30528

  Physics · mapped topic

• H04L67/22

  Electricity · mapped topic

• G06F3/0484 Primary

  for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range · CPC title

• G06F17/30598

  Physics · mapped topic

• G06F16/285

  Clustering or classification · CPC title