Identifying one or more substitute automated customized food generation machines for generating one or more substitute customized food items

Abstract

Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients; determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

1 . A computationally-implemented method, comprising:
 acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients;   determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and   identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user.   
     
     
         2 - 8 . (canceled) 
     
     
         9 . The computationally-implemented method of  claim 1 , wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients comprises:
 acquiring the user preference information of the user by acquiring the user preference information in response to detecting that the user being spatially near one or more automated customized food generation machines that are designed to generate customized food items.   
     
     
         10 . (canceled) 
     
     
         11 . (canceled) 
     
     
         12 . The computationally-implemented method of  claim 1 , wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients comprises:
 acquiring the user preference information of the user that indicates the one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user.   
     
     
         13 . (canceled) 
     
     
         14 . The computationally-implemented method of  claim 12 , wherein said acquiring the user preference information of the user that indicates the one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:
 acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring user dietary information of the user that indicates one or more food preparation preferences of the user for preparing the one or more customized food items.   
     
     
         15 . (canceled) 
     
     
         16 . (canceled) 
     
     
         17 . The computationally-implemented method of  claim 12 , wherein said acquiring the user preference information of the user that indicates the one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:
 acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more dietary schedules of the user.   
     
     
         18 . (canceled) 
     
     
         19 . (canceled) 
     
     
         20 . The computationally-implemented method of  claim 1 , wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients comprises:
 acquiring the user preference information of the user that includes the one or more ingredient integrity preferences related to the integrity of the one or more ingredients by acquiring user preference information that includes one or more preferences related to purity of the one or more ingredients.   
     
     
         21 . The computationally-implemented method of  claim 20 , wherein said acquiring the user preference information of the user that includes the one or more ingredient integrity preferences related to the integrity of the one or more ingredients by acquiring user preference information that includes one or more preferences related to purity of the one or more ingredients comprises:
 acquiring the user preference information that includes the one or more preferences related to the purity of the one or more ingredients by acquiring user preference information that includes one or more preferences that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities.   
     
     
         22 . The computationally-implemented method of  claim 1 , wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients comprises:
 acquiring the user preference information of the user that includes the one or more ingredient integrity preferences related to the integrity of the one or more ingredients by acquiring user preference information that includes one or more user preferences that the one or more ingredients for use in generating the one or more customized food items were obtained from one or more specified sources and/or from one or more specified locations.   
     
     
         23 . The computationally-implemented method of  claim 1 , wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients comprises:
 acquiring the user preference information of the user that includes the one or more ingredient integrity preferences related to the integrity of the one or more ingredients by acquiring user preference information that includes one or more user preferences that the one or more ingredients were not obtained from one or more specified sources and/or one or more specified locations.   
     
     
         24 . The computationally-implemented method of  claim 1 , wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients comprises:
 acquiring the user preference information of the user including acquiring user behavior information indicating one or more historical behaviors of the user that are indicative of one or more past preferences of the user.   
     
     
         25 . The computationally-implemented method of  claim 24 , wherein said acquiring the user preference information of the user including acquiring user behavior information indicating one or more historical behaviors of the user that are indicative of one or more past preferences of the user comprises:
 acquiring the user behavior information of the user indicating the one or more historical behaviors of the user that are indicative of the one or more past preferences of the user by acquiring historical travel or movement information of the user.   
     
     
         26 . The computationally-implemented method of  claim 24 , wherein said acquiring the user preference information of the user including acquiring user behavior information indicating one or more historical behaviors of the user that are indicative of one or more past preferences of the user comprises:
 acquiring the user behavior information of the user indicating the one or more historical behaviors of the user that are indicative of the one or more past preferences of the user by acquiring user historical usage information indicating past usage of one or more automated customized food generation machines by the user.   
     
     
         27 . (canceled) 
     
     
         28 . The computationally-implemented method of  claim 1 , wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients comprises:
 acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is being interfaced by the user is unable to currently generate one or more customized food items in compliance with one or more customized food preferences of the user.   
     
     
         29 - 38 . (canceled) 
     
     
         39 . The computationally-implemented method of  claim 1 , wherein said determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user comprises:
 determining that there is no capable automated customized food generation machine present in the nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with one or more ingredient preferences of the user.   
     
     
         40 . The computationally-implemented method of  claim 1 , wherein said determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user comprises:
 determining that there is no capable automated customized food generation machine present in the nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user by determining that there is no capable automated customized food generation machine present in the nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with one or more ingredient purity preferences of the user.   
     
     
         41 . The computationally-implemented method of  claim 40 , wherein said determining that there is no capable automated customized food generation machine present in the nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user by determining that there is no capable automated customized food generation machine present in the nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with one or more ingredient purity preferences of the user comprises:
 determining that there is no capable automated customized food generation machine present in the nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with one or more preferences of the user that one or more sources for one or more ingredients for the one or more customized food items were tested for presence or absence of one or more impurities.   
     
     
         42 - 52 . (canceled) 
     
     
         53 . The computationally-implemented method of  claim 1 , wherein said identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:
 identifying the one or more substitute automated customized food generation machines present in the nearby vicinity of the user by querying one or more nearby automated customized food generation machines present in the nearby vicinity of the user in order to determine whether any one or more of the one or more nearby automated customized food generation machines have appropriate ingredient supplies to be able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user.   
     
     
         54 . (canceled) 
     
     
         55 . The computationally-implemented method of  claim 1 , wherein said identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:
 identifying the one or more substitute automated customized food generation machines present in the nearby vicinity of the user by identifying only those substitute automated customized food generation machines present within a mile from a current location of the user.   
     
     
         56 . (canceled) 
     
     
         57 . (canceled) 
     
     
         58 . The computationally-implemented method of  claim 1 , wherein said identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:
 identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that do not have one or more preferred ingredients, as preferred by the user, in order to be able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user.   
     
     
         59 . The computationally-implemented method of  claim 58 , wherein said identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that do not have one or more preferred ingredients, as preferred by the user, in order to be able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user comprises:
 identifying the one or more substitute automated customized food generation machines that do not have the one or more preferred ingredients, as preferred by the user, in order to be able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that do not have the one or more preferred ingredients in order to be able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user but which do have one or more substitute ingredients that substitute for the one or more preferred ingredients in one or more sufficient quantities that only allows the one or more substitute automated customized food generation machines to be able to currently generate one or more substitute customized food items that is only in partial compliance with the one or more customized food preferences of the user. 
 
     
     
         60 . (canceled) 
     
     
         61 . The computationally-implemented method of  claim 1 , wherein said identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:
 identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in substantial compliance with the one or more customized food preferences of the user.   
     
     
         62 . The computationally-implemented method of  claim 61 , wherein said identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in substantial compliance with the one or more customized food preferences of the user comprises:
 identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in substantial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in compliance with a majority of a plurality of customized food preferences of the user.   
     
     
         63 . The computationally-implemented method of  claim 1 , wherein said identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:
 identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with a first one or more customized food preferences of the user and not in compliance with a second one or more customized food preferences of the user.   
     
     
         64 . (canceled) 
     
     
         65 . (canceled) 
     
     
         66 . The computationally-implemented method of  claim 63 , wherein said identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with a first one or more customized food preferences of the user and not in compliance with a second one or more customized food preferences of the user comprises:
 identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with one or more ingredient preferences of the user and not in compliance with one or more ingredient integrity preferences of the user.   
     
     
         67 . (canceled) 
     
     
         68 . The computationally-implemented method of  claim 66 , wherein said identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with one or more ingredient preferences of the user and not in compliance with one or more ingredient integrity preferences of the user comprises:
 identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with one or more ingredient preferences of the user and not in compliance with one or more preferences of the user related to obtaining or not obtaining one or more ingredients from one or more specified sources and/or one or more specified locations.   
     
     
         69 . The computationally-implemented method of  claim 63 , wherein said identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with a first one or more customized food preferences of the user and not in compliance with a second one or more customized food preferences of the user comprises:
 identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with one or more ingredient integrity preferences of the user and not in compliance with one or more ingredient preferences of the user.   
     
     
         70 . (canceled) 
     
     
         71 . The computationally-implemented method of  claim 69 , wherein said identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with one or more ingredient integrity preferences of the user and not in compliance with one or more ingredient preferences of the user comprises:
 identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with one or more preferences of the user related to obtaining or not obtaining one or more ingredients from one or more specified sources and/or from one or more specified locations and not in compliance with one or more ingredient preferences of the user.   
     
     
         72 . The computationally-implemented method of  claim 63 , wherein said identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with a first one or more customized food preferences of the user and not in compliance with a second one or more customized food preferences of the user comprises:
 identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with a first one or more ingredient preferences of the user and not in compliance with a second one or more ingredient preferences of the user.   
     
     
         73 . The computationally-implemented method of  claim 63 , wherein said identifying the one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user by identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with a first one or more customized food preferences of the user and not in compliance with a second one or more customized food preferences of the user comprises:
 identifying one or more substitute automated customized food generation machines that are able to currently generate at least one substitute customized food item that is in compliance with a first one or more ingredient integrity preferences of the user and not in compliance with a second one or more ingredient integrity preferences of the user.   
     
     
         74 . The computationally-implemented method of  claim 1 , further comprising:
 presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines.   
     
     
         75 - 79 . (canceled) 
     
     
         80 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines by presenting one or more graphical indicators that graphically discloses the one or more substitute automated customized food generation machines.   
     
     
         81 . (canceled) 
     
     
         82 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines including presenting one or more indicators that indicate one or more distances to one or more locations of the one or more substitute automated customized food generation machines from a current location of the user.   
     
     
         83 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines including presenting one or more indicators that specifies one or more customized food preference deficiencies relative to the one or more customized food preferences of the user of one or more substitute customized food items that the one or more substitute automated customized food generation machines are able to currently generate.   
     
     
         84 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines including presenting one or more indicators that specifically identify the one or more substitute automated customized food generation machines as being located along one or more past travel paths of the user.   
     
     
         85 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines including presenting one or more indicators that provide one or more prices associated with one or more substitute customized food items that the one or more substitute automated customized food generation machines are able to currently generate and that are only in partial compliance with the one or more customized food preferences of the user.   
     
     
         86 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines, the identification of the one or more substitute automated customized food generation machines by the one or more presented indicators being in response, at least in part, on one or more determined locations of the one or more substitute automated customized food generation machines relative to the location of the user.   
     
     
         87 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines, the identification of the one or more substitute automated customized food generation machines by the one or more presented indicators being in response, at least in part, to one or more determined locations of the one or more substitute automated customized food generation machines relative to one or more past travel paths of the user.   
     
     
         88 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines, the identification of the one or more substitute automated customized food generation machines by the one or more presented indicators being in response, at least in part, on one or more identified prices of one or more substitute customized food items that the one or more substitute automated customized food generation machines are able to currently generate and that are only in partial compliance with the one or more customized food preferences of the user.   
     
     
         89 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines, the identification of the one or more substitute automated customized food generation machines by the one or more presented indicators being in response, at least in part, to detected past usage of the one or more substitute automated customized food generation machines by the user.   
     
     
         90 . The computationally-implemented method of  claim 74 , wherein said presenting, in response at least in part to the identification, one or more indicators that identify the one or more substitute automated customized food generation machines comprises:
 presenting the one or more indicators that identify the one or more substitute automated customized food generation machines in response to the identification of the one or more substitute automated customized food generation machines and in response to the determination that there is no capable automated customized food generation machines present in the nearby vicinity of the user.   
     
     
         91 . A computationally-implemented system, comprising:
 means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients;   means for determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and   means for identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user.   
     
     
         92 - 180 . (canceled) 
     
     
         181 . A system, comprising:
 circuitry for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients;   circuitry for determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user and   circuitry for identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user.