# US 2014/0272844 A1 · Method for increasing the likelihood to induce behavior change in a lifestyle management program > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0272844 A1 - Document ID: US20140272844A1 - Status: Published application - Kind: A1 - Application number: 14/202,796 - Filed: 2014-03-10 - Published: 2014-09-18 - Earliest claimed: 2013-03-15 - Assignees: Koninklijke Philips N.V. - Applicants: Koninklijke Philips N.V. - Inventors: MONIQUE HENDRIKS; AART VAN HALTEREN; LU WANG - Web page: https://patentgrep.com/patent/US20140272844A1 ## CPC - G09B 5/00: Electrically-operated educational appliances (working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F) - G09B: EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS (devices for psychotechnics or for testing reaction times A61B5/16; games, sports, amusements A63; projectors, projector screens G03B) ## Abstract A method and corresponding system for increasing the likelihood of inducing behavior change in a lifestyle management program for a user includes sensing at least one behavior parameter of a user; identifying at least one intention-behavior gap based on the sensing of the behavior parameter; via application of a genetic algorithm generating a quantified profile of the intention-behavior gap; via a user interface, suggesting at least one action to accept or reject; and varying the quantified profile based on the action accepted or rejected by the user. The user interface may include a smart phone that includes at least one sensor for sensing location and activity of a user of the user interface, or a dedicated device that communicates with a sensor for sensing a behavior parameter, or the sensor is disposed on the body of the user or on a garment worn by the user. ## Claims ### Claim 1 An apparatus for increasing the likelihood of inducing behavior change in a lifestyle management program for a user comprising: a processor; and a memory storing instructions, executable by the processor, wherein the instructions when executed by the processor cause the apparatus to: sense at least one behavior parameter of a user; identity at least one intention-behavior gap based on the sensing of the at least one behavior parameter; generate a quantified profile of the at least one intention-behavior gap of the user; via a user interface, suggest to the user at least one action that the user can accept or reject; and vary the quantified profile based on the at least one action accepted or rejected by the user. ### Claim 2 (depends on 1) The apparatus according to claim 1, wherein the instructions when executed by the processor further cause the apparatus to: enable the user to inspect the quantified profile of the intention-behavior gap of the user. ### Claim 3 (depends on 1) The apparatus according to claim 1, wherein the instructions when executed by the processor further cause the apparatus to: upon sensing the at least one behavior parameter of the user, register the time of the sensing; and determine whether the at least one behavior parameter has been satisfactorily addressed by the user. ### Claim 4 (depends on 3) The apparatus according to claim 3, wherein the instructions when executed by the processor further cause the apparatus to: upon determining that the at least one behavior parameter has not been satisfactorily addressed by the user, notify the user, at a time later than the time previously registered, that the at least one behavior parameter has not been satisfactorily addressed, wherein the time later than the time previously registered is a time of a higher likelihood that the user will satisfactorily address the at least one behavior parameter. ### Claim 5 (depends on 4) The apparatus according to claim 4, wherein the instructions when executed by the processor further cause the apparatus to: follow the notifying of the user at the time later than the time previously registered, determining whether the at least one behavior parameter has been rejected by the user; and via the user interface, posing to the user at least one question to which the response by the user enables improvement of the quantified profile. ### Claim 6 (depends on 5) The apparatus according to claim 5, wherein the instructions when executed by the processor further cause the apparatus to: analyze the response by the user to the at least one question. ### Claim 7 (depends on 1) The apparatus according to claim 1, wherein the instructions when executed by the processor further cause the apparatus to: represent the quantified profile as a combination of properties as either an action or a context or a combination of an action and a context. ### Claim 8 (depends on 7) The apparatus according to claim 7, wherein the instructions when executed by the processor further cause the apparatus to: apply a genetic algorithm to run at least one generation of the genetic algorithm as genes wherein the timeslot and properties of the action are equivalent to the genes. ### Claim 9 (depends on 8) The apparatus according to claim 8, wherein the instructions when executed by the processor further cause the apparatus to: define a fitness function as the size of the intention-behavior gap based on the quantified profile. ### Claim 10 (depends on 9) The apparatus according to claim 9, wherein the instructions when executed by the processor further cause the apparatus to: define a mutation as a change in a single gene by one of flipping the value of the single gene or by increasing the value of the single gene or by decreasing the value of the single gene or by choosing a random other value of the single gene. ### Claim 11 (depends on 10) The apparatus according to claim 10, wherein the instructions when executed by the processor further cause the apparatus to: define a maximum number of runs of the at least one run; and define a stop criterion for the running of the at least one generation of the genetic algorithm as stopping the running when differences in the behavior-intention gap are less than or equal to a pre-determined value. ### Claim 12 (depends on 11) The apparatus according to claim 11, wherein the instructions when executed by the processor further cause the apparatus to: upon the differences in the behavior-intention gap being less than or equal to a pre-determined value, stop the running of the at least one generation of the genetic algorithm; and return the top actions of fittest individuals as suggestions to the user. ### Claim 13 (depends on 11) The apparatus according to claim 11, wherein the instructions when executed by the processor further cause the apparatus to: upon the differences in the behavior-intention gap being greater than a pre-determined value, return to apply the genetic algorithm to run at least one generation of the genetic algorithm as genes wherein the timeslot and properties of the action are equivalent to the genes. ### Claim 14 A non-transitory computer readable storage medium storing a program which, when executed by a computer, causes the computer to perform a method for increasing the likelihood of inducing behavior change in a lifestyle management program for a user, comprising: sensing at least one behavior parameter of a user; identifying at least one intention-behavior gap based on the sensing of the at least one behavior parameter; generating a quantified profile of the at least one intention-behavior gap of the user; via a user interface, suggesting to the user at least one action that the user can accept or reject; and varying the quantified profile based on the at least one action accepted or rejected by the user. ### Claim 15 (depends on 14) The non-transitory computer readable storage medium according to claim 14 storing a program which, when executed by a computer, causes the computer to perform a method for increasing the likelihood of inducing behavior change in a lifestyle management program for a user, further comprising: enabling the user to inspect the quantified profile of the intention-behavior gap of the user.