System and method for generating contextually relevant device compensation

Abstract

Disclosed herein are systems and methods that can detect the use of a consumer electronics device and can generate and provide insurance or compensation plans that determine, consider, and adjust for the use of the consumer electronics device and consumer trends while using the consumer electronics device.

Description

[Technical Field]

[0001] This invention generally relates to home electronic devices. More specifically, this invention relates to a system and method for detecting the use of home electronic devices. [Background technology]

[0002] Many consumer electronic devices are sold at a price point that is considered expensive for the average consumer. As a result, the average consumer sometimes chooses to purchase insurance or other insurance plans that insure their consumer electronic devices and reimburse them for replacement or repair of the devices if they are lost or damaged.

[0003] Many consumers typically purchase insurance or compensation plans, but known insurance or compensation plans are traditionally based on the retail price of home electronic devices, the cost of replacing home electronic devices, or the cost of repairing home electronic devices. However, known insurance or compensation plans do not take into account consumer trends in the use of home electronic devices or while using them. [Overview of the project] [Problems that the invention aims to solve]

[0004] In light of the above, there is a need for a system and method to generate and provide insurance or compensation plans that determine, consider, and adjust consumer trends regarding the use of home electronic devices and consumer behavior while using home electronic devices. [Brief explanation of the drawing]

[0005] [Figure 1] This is a block diagram of the system according to the disclosed embodiment. [Figure 2] This is a flowchart of a method for detecting whether an electronic device has been dropped, according to the disclosed embodiments. [Figure 3] This is a graph plotting accelerometer measurements according to the disclosed embodiment. [Figure 4] This is a graph plotting the tendency for devices to be dropped according to the disclosed embodiments. [Figure 5] This is a flowchart of a method for mitigating hazards according to the disclosed embodiments. [Figure 6] This is a flowchart of a method for adjusting hazards and generating warnings according to the disclosed embodiments. [Figure 7] This is a graph plotting device depreciation according to the disclosed examples. [Figure 8] This is a flowchart of a method for considering device depreciation according to the disclosed embodiments. [Figure 9] This is a flowchart of a method for considering device durability according to the disclosed embodiments. [Figure 10] This is a flowchart of a method for generating a compensation plan based on device diagnostics, according to the disclosed embodiments. [Modes for carrying out the invention]

[0006] While the present invention can be embodied in many different forms, specific embodiments of the present invention are shown in the drawings, and with the understanding that this disclosure should be considered an illustration of the principles of the present invention, specific embodiments of the present invention will be described in detail below. The present invention is not intended to be limited to the specific illustrated embodiments.

[0007] Examples disclosed herein include systems and methods that can detect the use of home electronic devices and generate and provide insurance or compensation plans that determine, consider, and adjust consumer trends during and while using home electronic devices.

[0008] In some embodiments, the systems and methods disclosed herein can receive or retrieve data from sensors contained within a home electronic device, analyze the data, and determine whether the data indicates that the home electronic device has been dropped. For example, in some embodiments, the systems and methods disclosed herein can determine whether data from an accelerometer contained within a home electronic device, such as data that is not only above a first threshold but also below a second threshold within a given time period, or data that is initially below the second threshold, then above the first threshold, and then below the second threshold within a given time period, indicates that the acceleration of the home electronic device is consistent with the home electronic device being dropped. Additionally or alternatively, in some embodiments, the systems and methods disclosed herein can determine whether data from a gyroscope contained within a home electronic device indicates that the rotation and orientation of the home electronic device are consistent with the home electronic device being dropped and having made a strong impact with a surface.

[0009] In some embodiments, the systems and methods disclosed herein can identify activities related to home electronic devices that pose a potential risk of damage to the home electronic device. For example, in some embodiments, the systems and methods disclosed herein can identify activities that pose a potential risk of damage to the home electronic device based on the location data of the home electronic device, the intended location data of the home electronic device, or the intended events that the user of the home electronic device should be involved in.

[0010] In some embodiments, the systems and methods disclosed herein can monitor user interactions with home electronic devices, including user interactions with applications performed by the home electronic devices, or the absence of user interactions, in order to determine potential hazards to home electronic devices or other items covered by an insurance or compensation plan. In some embodiments, the systems and methods disclosed herein can transmit an audible or visual warning message to the user indicating a user interaction identified as potentially hazardous.

[0011] In some embodiments, the systems and methods disclosed herein can identify a replacement cost percentage for a home electronic device based on the depreciated value of the home electronic device, and generate and provide a discounted insurance or compensation plan when the replacement cost percentage exceeds a predetermined threshold.

[0012] In some embodiments, the systems and methods disclosed herein can identify a durability index rating for consumer electronic devices and generate and provide a discounted insurance or compensation plan when the durability index rating exceeds a predetermined threshold. In some embodiments, the systems and methods disclosed herein can identify a durability index rating based on extensive testing of various forms and models of consumer electronic devices.

[0013] In some embodiments, the systems and methods disclosed herein can perform diagnostic tests on consumer electronic devices to determine whether components of the consumer electronic devices are non-functional or broken, and can generate and provide discounted insurance or compensation plans when a predetermined number of components are identified as non-functional. In some embodiments, the value of the discounted insurance or compensation plan may be based on which components are identified as non-functional and how often those non-functional components have broken, based on historical policy claims data.

[0014] FIG. 1 is a block diagram of a system 100 according to an exemplary embodiment that can implement the method disclosed herein. As can be seen, system 100 can include a home electronic device 3 that can be operated by a user 1 and execute a software application 2. In some embodiments, software application 2 can communicate with one or more sensors 4 included within home electronic device 3 and receive or extract data from one or more sensors 4. In some embodiments, home electronic device 3 can include a smartphone, a tablet, or a laptop computer. When home electronic device 3 is a smartphone, the home electronic device can include up to eight of sensors 4, including one or more of a touch screen, an accelerometer, a gyroscope, a magnetometer, a global positioning system (GPS), a barometer, a peripheral light sensor, a proximity sensor, and a fingerprint sensor. Additionally or alternatively, in some embodiments, sensors 4 can include one or more cameras that can collect data when software 2 includes video analytics software.

[0015] In some embodiments, software application 2 can be stored and executed on home electronic device 3. Alternatively, in some embodiments, software application 2 can be web-based, and home electronic device 3 can extract data from sensors 4 when navigating to a website universal resource locator (URL) associated with software application 2 or at periodic intervals identified by software application 2.

[0016] In some embodiments, the software application 2 can generate a user hazard profile 5 based on data received from the sensor 4 and store the user hazard profile 5 in a database device. For example, in some embodiments, the software application 2 can use data from the sensor 4 to determine whether the household electronic device 3 has been dropped by user 1 a predetermined number of times, indicating a tendency to drop the household electronic device 3. In response, the software application 2 can generate a user hazard profile 5 indicating that user 1 has a tendency to drop the household electronic device 3, and is therefore associated with a predetermined level of hazard to be compensated for.

[0017] In some embodiments, the software application 2 and the home electronic device 3 can transmit the user risk profile 5 to the compensation and insurance offering system 7 via a network connection, such as Long Term Evolution (LTE), 4G, WiFi, or other internet-based connection. In some embodiments, the compensation and insurance offering system 7 may include a cloud-based server that may be accessible at a given URL. In some embodiments, the compensation and insurance offering system 7 may also receive or retrieve input data 6 from other sources. For example, the input data 6 may include identification of locations that indicate an increased risk to the safety of the home electronic device 3, identification of the time and date of events that indicate an increased risk to the safety of the home electronic device 3, identification of the user 1's past interactions with another device, or identification of other factors that may influence the risks associated with the user 1 owning and using the home electronic device 3.

[0018] Based on the user risk profile 5 and input data 6, the compensation and insurance offering system 7 can generate a risk-based policy offering 8 customized to the user and home electronic device 3. For example, in some embodiments, the risk-based policy offering 8 may include a custom price for compensating the home electronic device 3 for user 1, and in some embodiments, the risk-based policy offering 8 may include terms and conditions and coverage for an insurance or compensation plan related to user 1 and home electronic device 3. In some embodiments, the risk-based policy offering 8 may include provisions in the terms of service related to the risk-based policy offering 8 that require the software application 2 to always be installed on the home electronic device 2 for the lifetime of the risk-based policy offering 8, and that removing the software application 2 from the home electronic device will invalidate the insurance coverage related to the risk-based policy offering 8.

[0019] As disclosed herein, a common and certain hazard to the home electronic device 3 is that user 1 drops the home electronic device 3, thereby damaging it. For example, if user 1 drops the home electronic device 3 from a sufficient height in a particular manner, the screen of the home electronic device 3 may shatter. Therefore, a key factor measured by the software application 2 and included in the user hazard profile 5 is when and how often user 1 drops the home electronic device 3.

[0020] In this regard, software application 2 can identify an injury event each time the home electronic device 3 is dropped from a height that would result in a strong impact, and software application 2 can use the injury event to create a user risk profile 5. In some embodiments, software application 2 can communicate with user 1, for example, by generating a notification message (e.g., email notification, push notification) that includes one or more suggested proactive actions to prevent future drops. For example, one or more suggested proactive actions may include user 1 purchasing an impact-absorbing case for the home electronic device 3, a screen protector for the home electronic device, or a gripping strip that increases the amount of friction against the housing of the home electronic device 3 while it is being held by user 1. In some embodiments, the notification message may include one or more reasons for the suggested proactive action, such as data suggesting that user 1 drops the home electronic device 3 more often than average.

[0021] As disclosed herein, software application 2 can identify when a home electronic device 3 has been dropped. For example, in some embodiments, software application 2 can monitor data from sensors 4, such as an accelerometer, to determine whether the home electronic device 3 has been dropped. In some embodiments, software application 2 can identify the impact level of a dropped home electronic device 3 to distinguish between a damaging fall, such as when the home electronic device 3 hits a hard surface (e.g., a cement floor), and an unharmful fall, such as when the home electronic device 3 hits a soft surface (e.g., a couch). In some embodiments, software application 2 can verify the impact level using data collected from sensors 4, such as an accelerometer or gyroscope.

[0022] Figure 2 is a flowchart of a method 200 for detecting whether a home electronic device 3 has been dropped, according to a disclosed embodiment. As can be seen, method 200, as in 3-1, may include initiating a background service. For example, a background service may be initiated by installing a software application 2 on the home electronic device 3 to continuously monitor data from a sensor 4 to detect conditions indicating a fall. In some embodiments, the background service may go unnoticed by the user 1 during the regular use of the home electronic device 3.

[0023] Method 200 also includes setting lower and upper thresholds and time intervals, similar to 3-2. In some embodiments, the lower and upper thresholds and time intervals may be predetermined, and in some embodiments, the upper threshold may be greater than the lower threshold. For example, the upper threshold may be set to a height and corresponding acceleration value to which the home electronic device 3 must be dropped in order to qualify as a damaging fall. As an addition or alternative, in some embodiments, the lower and upper thresholds may be based on the type of home electronic device 3 on which the software application 2 is installed. For example, an iPhone® 8 Plus may be heavier than an iPhone 8, and therefore the impact force on the iPhone 8 Plus when dropped may be higher than that on an iPhone 8. Therefore, a software application 2 installed on an iPhone 8 Plus may set a higher upper threshold than a software application 2 installed on an iPhone 8. In addition or alternatively, in some embodiments, the upper and lower thresholds may be identified with data from sensor 4, including acceleration values ​​measured by an accelerometer, angular velocity values ​​measured by a gyroscope, and / or orientation values ​​measured by a gyroscope and a magnetometer. In any embodiment, the lower and upper thresholds may be set to values ​​that facilitate the identification of falls following the same general pattern described herein.

[0024] Method 200 may also include the software application 2 determining whether the data from the accelerometer indicates a drop, i.e., whether the data indicates that the acceleration of the home electronic device 3 exceeded an upper threshold and then fell below a lower threshold within a time interval, or, similarly to 3-3, whether the data indicates that the acceleration of the home electronic device 3 first fell below a lower threshold, then exceeded an upper threshold, and then fell below a lower threshold. In some embodiments, the accelerometer may include a triaxial accelerometer having three axes (x-axis, y-axis, and z-axis) to measure data in three directions, and the data from the accelerometer may be measured in meters per second squared. When the accelerometer is a triaxial accelerometer, the software application 2 may calculate the geometric mean of the data related to the three axes as follows: i.e., |A T |=sqrt(a x 2 a y 2 a z 2 ). If the conditions in 3-3 are not met, software application 2 may repeat 3-3. However, if the conditions in 3-3 are met, method 200 may proceed to 3-4.

[0025] According to Method 200, Figure 3 is a graph 300 plotting accelerometer measurements according to the disclosed embodiment, identifying data indicating an upper threshold 302, a lower threshold 304, and a fall 306. As is known to those skilled in the art, data from the accelerometer are affected by gravity (e.g., 9.81 m / s²). 2) can be included. Thus, when the household electronic device 3 is stationary on the surface, the data from the accelerometer can be 9.81. However, when the household electronic device is falling downward, the data from the accelerometer can be 0. In this regard, as shown in FIG. 3, during the fall, the data from the accelerometer first falls below the lower threshold 304 (e.g., during free fall, accelerometer data = 0), then exceeds the upper threshold 302 (e.g., when hitting the surface and bouncing back from the surface, accelerometer data = 36), and then can fall below the lower threshold 304 within a time interval (e.g., 20 ms) (e.g., during free fall after bouncing back from the surface, accelerometer data = 0).

[0026] In some embodiments, when the data from the accelerometer exceeds an intermediate threshold after first falling below the lower threshold 304 and then falling below the upper threshold 302, the method 200 can determine that the household electronic device 3 has been dropped onto a soft surface, and thus the drop has been harmless.

[0027] The method 200 can also include, similar to 3 - 4, the software application 2 determining whether the drop ended in a collision that exceeded a collision threshold. For example, in some embodiments, the method 200 can identify the impact level of the dropped household electronic device 3 to distinguish between a damaging drop when the household electronic device 3 hits a hard surface and a harmless drop when the household electronic device 3 hits a soft surface. In this regard, in some embodiments, the method 200 is in the azimuth (angle around the x - axis), pitch (angle around the y - axis), and roll (angle around the z - axis) directions ( θ X, θ Y, θThe fall can be verified using data from sensors 4, such as data from a gyroscope indicating the rotation and / or orientation of the home electronic device 3 in Z). In some embodiments, after the data from the accelerometer exceeds an upper threshold, the software application 2 can calculate the geometric mean of the rotation of the home electronic device 3 in degrees per second as follows: ω T=sqrt( ω x 2 , ω y 2 , ω z 2 ). Subsequently, software application 2 can determine that the fall was damaging when the geometric mean of rotation and orientation exceeds an impact threshold. In some embodiments, the impact threshold may be set based on the rotation and orientation values ​​of a household appliance 3 that collides with a hard surface during the fall and / or falls in a way that causes damage, and such values ​​may be identified through modeling and testing of household electronic devices.

[0028] If Method 200 confirms that the fall was damaging, Method 200 can continue as in 3-5. However, if Method 200 does not confirm that the fall was damaging, Method 200 can continue as in 3-3, and Software Application 2 can confirm that the fall was harmless.

[0029] Finally, Method 200, similar to Methods 3-5, may include the software application 2 registering the drops on a cloud server, such as a compensation and insurance offering system 7. In some embodiments, registering the drops may include the software application 2 updating a hazard profile 5 for user 1 and home electronic device 3. In this regard, Figure 4 is a graph 400 plotting the tendency to drop a device according to a disclosed embodiment, identifying four drops over a period of time.

[0030] In some embodiments, software application 2 can set a thrown threshold value that may be lower than a lower threshold. In these embodiments, when data from the accelerometer falls below the thrown threshold, software application 2 can determine that the home electronic device 3 has been thrown, which is an event that may not be compensated by the hazard-based policy offering 8. Additionally or alternatively, software application 2 can determine that the home electronic device 3 has been thrown upward when data from the accelerometer increases before it first falls below the lower threshold.

[0031] When the software application 2 determines that user 1 has a tendency to drop the home electronic device 3 (for example, the number of drops within a period of time exceeds a predetermined threshold), the compensation and insurance offering system 7 can generate a notification message to the home electronic device 3 that includes an offer for user 1 to purchase a case or screen protector, and may be accompanied by data indicating that user 1 has a tendency to drop the home electronic device 3. Furthermore, in response to the determination that user 1 has a tendency to drop the home electronic device 3, the compensation and insurance offering system 7 can increase the price of the risk-based policy offering 8 and notify user 1 accordingly.

[0032] Figure 5 is a flowchart of a method 500 for mitigating hazards according to an embodiment disclosed, by generating a hazard profile for user 1 based on user events and user activities that may affect the hazards involved in guaranteeing or compensating for a home electronic device 3.

[0033] As can be seen, Method 500 may include initiating an event detection process, similar to 4-1. In some embodiments, the event detection process may include background services that operate in conjunction with the background services described with respect to Figure 2. After initiating the event detection process, Method 500 may include the software application 2 or compensation and insurance offering system 7 identifying user events and user activities, similar to 4-2, and retrieving identified risk scenarios from an event monitoring database, similar to 4-3, in order to determine whether any of the user events and user activities match any of the identified risk scenarios, similar to 4-4. If no match is identified, similar to 4-4, Method 500 may include the software application 2 continuing to monitor user events and user activities, similar to 4-2, and retrieving identified risk scenarios, similar to 4-3. However, when Method 500 identifies a match between one of the user events and user activities and one of the identified risk scenarios, Method 500 may include the software application 2 registering one of the identified user events and user activities on a cloud server, similar to Method 4-5 and similar to Method 4-3.

[0034] As an example, one of the identified risk scenarios could be that User 1 takes video or photos while holding the home electronic device 3 at a high height, or that large crowds associated with such a high-risk event increase the likelihood of the home electronic device 3 being stolen. This could include User 1 attending a concert, sporting event, street festival, or political march that poses a high risk to the home electronic device 3. Software application 2 can retrieve an identified risk scenario (e.g., attending a concert) and monitor User 1's activity through the home electronic device 3 to determine whether User 1 has purchased or is purchasing a concert ticket, for example, by monitoring User 1's internet browsing and determining that the home electronic device 3 has received an email confirming the ticket purchase, or by monitoring User 1's text messages. In response to detecting that User 1 has purchased a concert ticket, software application 2 can identify a match with an identified risk scenario and, as in 4-5, register the purchase of the concert ticket with the cloud server.

[0035] As another example, one of the identified risk scenarios may include User 1 traveling internationally or to another high-risk location. Software application 2 can retrieve the identified risk scenario (e.g., international travel) and monitor User 1's activities to determine whether User 1 has purchased a ticket to, booked accommodation at, or physically resided at, an international location, a specific country particularly associated with risk (e.g., a developing country), or a dangerous or unsafe geographical location (e.g., a high-crime neighborhood), for example, by monitoring destination addresses entered by User 1 into navigation software (e.g., Waze, Google Maps), or by monitoring the GPS coordinates of home electronic device 3 relative to the GPS coordinates of an international location, a specific country particularly associated with risk (e.g., a developing country), or a dangerous or unsafe geographical location (e.g., a high-crime neighborhood). In response to detecting that User 1 has purchased a ticket to an international location, software application 2 can, for example, identify a match with the identified risk scenario and register User 1's purchase of a ticket to an international location with the cloud server, as in 4-5.

[0036] In some embodiments, when a software application 2 determines that one of a user event and user activity matches one of an identified risk scenario, the compensation and insurance offering system 7 may generate a notification message to a home electronic device 3 that includes an offer to user 1 to purchase additional compensation or insurance at any time before attending or traveling to one of the identified risk scenarios, in order to give enhanced compensation or enhanced insurance to any or all of the user attending or traveling to one of the identified risk scenarios.

[0037] As shown in Figure 5, Figure 6 is a flowchart of Method 600 for mitigating hazards and generating warnings by monitoring user activity of user 1 within other applications performed by, for example, a home electronic device 3, according to a disclosed embodiment. In doing so, Method 200 can identify hazardous behavior of user 1 through the home electronic device 3 and provide insurance or compensation plans not only for the home electronic device 3 but also through a compensation and insurance offering system 7. For example, the compensation and insurance offering system 7 can provide insurance or compensation for data stored in the home electronic device 3, fixed electronic devices in user 1's home, or user 1's actions.

[0038] As can be seen, Method 600 may include initiating an activity monitoring process, similar to 10-1. In some embodiments, the activity monitoring process may include background services that operate in conjunction with the background services described with respect to Figure 2 or the event detection process described with respect to Figure 5. After initiating the activity monitoring process, Method 600 may include identifying applications and activities that are suitable for insurance from a database, similar to 10-2, and identifying user events and user activities, similar to 4-2, in order for the software application 2 to determine, similar to 10-3, whether any of the user events and user activities match any of the applications and activities that are suitable for insurance. Method 600 may determine user activities by monitoring the user interface or touchscreen of the home electronic device 3. If none of the user events and user activities identified, similar to 4-2, match any of the applications and activities identified, similar to 10-2, Method 600 may include the software application 2 continuing to monitor user events and user activities, similar to 4-2. However, if one of the user events and user activities identified in the same manner as in 4-2 matches one of the applications and actions identified in the same manner as in 10-2, method 600 may include the software application 2 registering one of the user events and user activities identified in the same manner as in 4-3 with the cloud server, similar to 4-5.

[0039] Finally, method 600 may include determining whether one of the identified user events and user activities, similar to 4-2, requires a notification message to alert user 1, similar to 10-5. If so, a notification message may be generated and presented to user 1 audibly or visually, similar to 10-6.

[0040] As an example, one of the applications and actions identified similarly to 10-2 may include an application that controls user 1's home security system. When software application 2 determines, through GPS data, that user 1 is away from home, software application 2 can determine whether user 1 has equipped the home security system via the application that controls the home security system. If user 1 has not equipped the home security system via the application that controls the home security system, software application 2 can generate a notification message to remind user 1 to equip the home security system via the application that controls the home security system. Failure to consistently equip the home security system, or failure to respond to reminders to do so, may increase the costs in the risk-based policy offering 8.

[0041] As another example, one of the applications and actions identified similarly to 10-2 may include an application for backing up data stored on the home electronic device 3. Software application 2 can monitor whether user 1 backs up the home electronic device 3 via the application for backing up data stored on the home electronic device 3, and if the user does not back up within a predetermined time period, software application 2 can provide a service to back up the data stored on the home electronic device 3 via risk-based policy offering 8 and / or automatically back up the home electronic device 3.

[0042] Generally, the cost of repairing or replacing consumer electronic devices 3 decreases rapidly over time. For example, Figure 7 is a graph plotting device depreciation for the iPhone 6s mobile device, the iPhone X mobile device, and the Samsung Galaxy S6 mobile device. As shown in Figure 7, 70-80% of the device's value is lost after one year. Therefore, the systems and methods disclosed herein can provide discounted insurance plans based on device depreciation.

[0043] Figure 8 is a flowchart of Method 800 for considering device depreciation, as disclosed in the embodiments, by, for example, basing the price of an insurance offering on its depreciated value. For example, a consumer electronics device 3 may depreciate in value from its release date, regardless of when it was purchased, because newer versions are constantly being developed. In this regard, the iPhone 8 was released in October 2017 at a release price of $750 and continued to be sold at that price for an extended period thereafter. However, the value of the iPhone 8 depreciated by about 1% per week, with the lower limit determined by market demand.

[0044] As shown in Figure 8, method 800, similar to 801, may include determining the type and model of a consumer electronic device, and similar to 802, identifying the replacement cost percentage of the consumer electronic device 3. In some embodiments, the replacement cost percentage may be identified as follows:

number

[0045] Next, method 800 may include comparing the replacement cost percentage to a threshold, similar to method 804. When the replacement cost percentage exceeds the threshold, method 800 may include extending the discounted insurance offering to user 1, similar to method 806. For example, if a smartphone was purchased for $1,000 (e.g., release price) on January 1, 2018, and valued at $300 (e.g., ASP) on December 1, 2019, the replacement cost percentage might be 70%, and method 800 could offer a discounted insurance offering at a 50% discount.

[0046] Certain technologies for home electronic devices can enhance the durability of home electronic devices.3 For example, some smartphones can include organic light-emitting diode (OLED) displays. In addition to higher display quality, OLED displays can have higher durability and a lower tendency to crack and scratch. In fact, tests have shown that an iPhone 7 with an OLED screen breaks only 6% of the time it is dropped from a distance of 10 feet, while an iPhone 6 with an LCD screen breaks 74% of the time it is dropped from the same distance, and that the iPhone 7 is less likely to be damaged in the rear glass, rear camera, front camera, and loudspeaker compared to the iPhone 6.Therefore, the systems and methods disclosed herein can provide discounted insurance plans based on device durability.

[0047] Figure 9 is a flowchart of Method 900 for considering device endurance according to an embodiment disclosed, for example, by basing the price of an insurance offering on device endurance. As can be seen, Method 900 may include initiating a risk assessment process, similar to 6-1. In some embodiments, the risk assessment process may include background services that operate in conjunction with the background services described with respect to Figure 2, the event detection process described with respect to Figure 5, or the behavior monitoring process 10-1 described with respect to Figure 7. After initiating the risk assessment process, Method 900 may, similar to 6-2, determine the type and model of the home electronic device 3, for example, by referring to data stored in the home electronic device 3, the profile of user 1 stored by the compensation and insurance offering system 7, or TCP / IP packets sent over the internet. Method 900 may then include retrieving a device endurance index rating associated with the type and model from a device endurance index database, similar to 6-3, and determining whether the device endurance index rating exceeds a predetermined threshold, similar to 6-4. Similar to 6-4, when the device durability index rating exceeds a predetermined threshold, method 900 may include the compensation and insurance offering system 7 providing a discounted rate.

[0048] In some embodiments, the systems and methods disclosed herein may also include creating and populating a device endurance index database using the respective device endurance index ratings for each of the multiple types and models, based on significant diagnostic tests of multiple types and models and aggregated data thereof. Additionally or alternatively, the systems and methods disclosed herein may distinguish the respective device endurance ratings for each of the multiple types and models from the respective component endurance ratings for each of the multiple components forming each device.

[0049] In some circumstances, the home electronic device 3 may break down, but user 1 may want compensation for the remaining functional components of the home electronic device 3. Figure 10 is a flowchart of method 1000 for generating a device diagnostic-based compensation plan, according to the disclosed embodiment, for example, by generating a dedicated insurance plan based on the results of a diagnostic test.

[0050] As can be seen, Method 1000 may include the software application 2 performing a diagnostic test, similar to 9-2, and, based on the results of the diagnostic test, determining, similar to 9-3, whether all components of the home electronic device 3 are functioning. When the diagnostic test indicates that all components of the home electronic device 3 are functioning well, Method 1000 may include the software application 2 generating a report indicating this, and the compensation and insurance offering system 7 may offer a standard rate insurance plan, similar to 9-4. However, when the diagnostic test indicates that one or more components of the home electronic device 3 are not functioning, the software application 2 may create a report identifying an exclusion list containing the components of the home electronic device 3 that failed the diagnostic test, similar to 9-5. Method 1000 may then include the software application 2 using the exclusion list to refer to the compensation offering database, similar to 5-3, and sending the exclusion list to the compensation and insurance offering system 7, which may offer a dedicated offer with exclusions, similar to 9-6.

[0051] For example, if a diagnostic test reveals that the front camera of a home electronic device 3 is not functioning, the compensation and insurance offering system 7 can offer an insurance plan that excludes coverage for the front camera and is discounted accordingly. In some embodiments, the amount of the discount may be based on the percentage of insurance claims that claim compensation for damage to such a non-functioning component (e.g., the front camera). For example, if relatively few insurance claims claim compensation for damage to the front camera (e.g., 10%), the price of the insurance plan may be discounted by a relatively small amount (e.g., a 5% discount). Alternatively, if the screen of the home electronic device 3 is cracked and therefore a non-functioning component, and a relatively high number of insurance claims claim compensation for damage to the screen (e.g., 75%), the discount may be higher (e.g., a 45% discount).

[0052] In some embodiments, the discount may be based on the relative value of the non-functioning component to the overall value of the home electronic device 3. Alternatively, in some embodiments, the discount may be based on the cost of repairing the non-functioning component. For example, if the cost of repairing the non-functioning component is higher than the cost of repairing the functioning component of the home electronic device 3, the discount may be higher than if the cost of repairing the non-functioning component were lower than the cost of repairing the functioning component.

[0053] The systems and methods disclosed herein represent a substantial improvement over the prior art by identifying the price at which a home electronic device is guaranteed based on data from sensors within the home electronic device itself. Furthermore, the systems and methods disclosed herein improve upon the prior art by continuously monitoring and detecting hazardous events and data regarding the operation of the home electronic device, the health of the home electronic device, and the overall condition of the home electronic device through software applications that run and operate in the background of the home electronic device without interrupting other functions or applications performed by the home electronic device. Finally, the systems and methods disclosed herein are an improvement over the prior art because they interact with sensors within the home electronic device itself, thereby facilitating the home electronic device to periodically monitor its own health in order to protect itself from damage.

[0054] While several embodiments have been described in detail above, other modifications are possible. For example, the logical flow described above does not require the specific order or sequence described to achieve the desired result. Other steps may be given, steps may be omitted from the described flow, and other components may be added to or removed from the described system. Other embodiments may be within the scope of the present invention.

[0055] From the foregoing, it is recognized that numerous modifications and alterations can be carried out without departing from the spirit and scope of the invention. It should be understood that no limitation is intended or should be inferred to be any limitation on any particular system or method described herein. Of course, it is intended to cover all such alterations that fall within the spirit and scope of the invention.

Claims

1. A processor determines the type and model of a home electronic device from data stored in the home electronic device or data transmitted by the home electronic device, The at least one processor determines the index value, The aforementioned index value is, (i) A durability index value obtained from a device durability index database for the type and model of the consumer electronic device, wherein the durability index value indicates the durability of the consumer electronic device, or (ii) Determining the index value which is the depreciated value of the type and model of the consumer electronic device, The at least one processor determines whether the index value exceeds a threshold, The at least one processor determines, in response to the determination that the index value exceeds the threshold, the price of the insurance plan for the home electronic device, discounted from the standard rate; How to run software that includes this.

2. The method according to claim 1, wherein the index value is the depreciated value of the model and type of the consumer electronic device.

3. The method according to claim 1, wherein the price of the insurance plan for the home electronic device, discounted from the standard rate, corresponds to the index value.

4. The method according to claim 1, wherein the index value is the durability index value.

5. The method according to claim 3, wherein the durability index value corresponds to test data showing the percentage of failures of components of other home electronic devices of the same type and model as the home electronic device when dropped from a predetermined height.

6. A database for storing multiple indicator values, wherein each of the multiple indicator values ​​corresponds to the respective model and type of a plurality of consumer electronic devices, and each of the multiple indicator values ​​is (i) Durability index values ​​for one type and each model of each of the plurality of home electronic devices, wherein the database is a device durability index database and the durability index value indicates the durability of one of the plurality of home electronic devices, or (ii) The database, which includes one model and the depreciated value of each of the plurality of consumer electronic devices, It is a processor, Determine the first type and first model of the first home electronic device. Determine one of the plurality of index values ​​corresponding to the first type and first model of the first home electronic device, It is determined whether one of the aforementioned multiple indicator values ​​exceeds a threshold value. In response to a determination that the index value exceeds the threshold, the processor and determine the price of the insurance plan for the first home electronic device, discounted from the standard rate. A system that includes these features.

7. The system according to claim 6, wherein each of the plurality of index values ​​is the depreciated value of each of the respective manufacturers and models of each of the plurality of consumer electronic devices.

8. The system according to claim 6, wherein each of the plurality of index values ​​is a durability index value of each of the respective types and models of each of the plurality of home electronic devices.

9. The system according to claim 8, wherein each of the plurality of durability index values ​​corresponds to test data indicating the percentage of failure of a component of another home electronic device of the same type and model as the home electronic device when dropped from a predetermined height.

10. A method for running software, At least one processor performs diagnostic tests on the home electronic device using software applications installed on the home electronic device, The at least one processor determines, based on the results from the diagnostic test, that the components of the consumer electronic device are not functioning. In response to the determination by at least one processor that one of the components of the home electronic device is not functioning, the price of the insurance plan for the home electronic device is discounted from the standard rate in accordance with the exclusion of compensation for the component that is determined to be not functioning. How to run software, including [this].

11. A method for running the software according to claim 10, wherein the price of the insurance plan is based on the cost of repairing the non-functioning components.

12. A method of running the software according to claim 10, wherein the price of the insurance plan is based on the percentage of insurance claims for compensation for damage to components of the other home electronic devices, based on the history of insurance claim data for the other home electronic devices.

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