Abstract: Computationally implemented methods and systems include managing adaptation data, wherein the adaptation data is correlated to at least one aspect of speech of a particular party, facilitating transmission of the adaptation data to a target device, in response to an indicator related to a speech-facilitated transaction of a particular party, wherein the adaptation data is correlated to at least one aspect of speech of the particular party, and determining whether to update the adaptation data, said determination at least partly based on a result of at least a portion of the speech-facilitated transaction In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include identifying one or more services configured to be provided to a user of a device, said identifying at least partly based on data regarding one or more properties of the device, requesting access to data collected by one or more portions of the device, in exchange for providing at least a portion of one of the one or more identified services, and providing at least a portion of the one or more services after receiving access to the data collectable by one or more portions of the device. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include identifying one or more services configured to be provided to a user of a device, said identifying at least partly based on data regarding one or more properties of the device, requesting access to data collected by one or more portions of the device, in exchange for providing at least a portion of one of the one or more identified services, and providing at least a portion of the one or more services after receiving access to the data collectable by one or more portions of the device. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems are described herein that are designed to, among other things, receiving a level-two encrypted output of a surveillance device; decrypting at least a part of the level-two encrypted output of the surveillance device with a level-two decryption key that is practicably inaccessible by a level-two encryption entity; and transmitting a level-one encrypted output of the surveillance device.

Abstract: Computationally implemented methods and systems include acquiring an image that includes a depiction of a feature of one or more entities, attaining identification of a particular entity of the one or more entities for which the depiction of the feature is present in the image, and obtaining relationship data that indicates whether the particular entity has a relationship with a device that facilitated acquisition of the image. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

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.

Abstract: Structures and protocols are presented for signaling a status or decision (processing or transmitting a medical record or other resource, e.g.) conditionally. Such signaling may be partly based on one or more symptoms, regimen attributes, performance indicia (compliance indications, e.g.), privacy considerations (patient consent, e.g.), contextual considerations (being in or admitted by a care facility, e.g.), sensor data, or other such determinants. In some contexts this may trigger an incentive being manifested (as a dispensation of an item, e.g.), an intercommunication (telephone call, e.g.) beginning, a device being configured (enabled or customized, e.g.), data distillations being presented or tracked, or other such results.

Abstract: Computationally implemented methods, devices and systems that are designed for transmitting a request for one or more identities of a transportation vehicle unit for transporting a first end user; receiving the one or more identities of the transportation vehicle unit for transporting the first end user, the transportation vehicle unit currently en route to or is currently transporting a second end user and having been identified based, at least in part, on a determination that the transportation vehicle unit is able to accommodate transport of the first end user while transporting the second end user; and directing the identified transportation vehicle unit to rendezvous with the first end user in order to transport the first end user.

Abstract: Systems and methods are described relating to detecting an indication of at least one attribute of an individual; accepting sensor data about the individual; and presenting a set of health care options at least partially based on the detecting an indication of at least one attribute of the individual and the accepting sensor data about the individual.

Abstract: A semiconductor-transistor-based system and device that are designed to, but are not limited to: electronically outputting electronic-semiconductor-transistor-voltage-level-based-state-machine-assisted-user-menu-selection display associated with electronic-semiconductor-transistor-voltage-level-based-state-machine-assisted collection of user-physiological information, associated with electronic-semiconductor-transistor-voltage-level-based-state-machine-assisted collection of user-conduct information, and associated with electronic-semiconductor-transistor-voltage-level-based-state-machine-assisted obtaining of food-based information. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented system and method that is designed to, but is not limited to: electronically providing audio output information to one or more portions of a portable electronic device to be outputted from said portable electronic device via one or more acoustic ultrasonic signals; and electronically outputting, said one or more acoustic ultrasonic signals to be demodulated into one or more acoustic audio signals containing one or more portions of said audio output information at one or more locations spaced from said portable electronic device based at least in part according to said one or more acoustic ultrasonic signals and based at least in part according to one or more portable electronic device ultrasonic emitter arrangements. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: Computationally implemented methods and systems include acquiring a block of encrypted data that corresponds to an image that has been encrypted through use of a unique device code associated with an image capture device configured to capture the image that includes a representation of a feature of an entity, obtaining a privacy metadata that corresponds to a detection of a privacy beacon in the image, said at least one image captured by the image capture device, said privacy beacon associated with the entity, and determining, at least partly based on the obtained privacy metadata, and partly based on a calculation related to the block of encrypted data that corresponds to the whether to allow one or more processes related to the encrypted data block. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Disclosed herein are example embodiments for automated hazard handling routine engagement. For certain example embodiments, at least one machine, such as an unoccupied flying vehicle (UFV), may: (i) detect at least one motivation to engage at least one automated hazard handling routine of the UFV; or (ii) engage at least one automated hazard handling routine of a UFV based at least partially on at least one motivation. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, or so forth.

Abstract: Computationally implemented methods and systems are described herein that are designed to, among other things, receiving a level-two encrypted output of a surveillance device; storing the level-two encrypted output of the surveillance device in association with a surveillance device identifier in a form inaccessible by a pre-event repository; and transmitting the level-two encrypted output of the surveillance device in response to a query containing at least a part of the surveillance device identifier in a form inaccessible by the pre-event repository.

Abstract: A system for warning of protruding body parts of a medical vehicle occupant includes a sensor, a feedback device, and a processing circuit. The sensor is configured to generate sensor data based on a position of the occupant, and the processing circuit is configured to determine a contour of the medical vehicle, detect a protruding extremity of the occupant based on the sensor data and the contour, and generate a warning using the feedback device, where the warning is based on the detected protruding extremity.

Abstract: Computationally implemented methods and systems include registering one or more first augmentations that were shown to a user through a first augmented view of a first actual scene, the one or more first augmentations having been shown at least at end of a segment of time, detecting, following the showing of the one or more first augmentations up to the end of the segment of time, one or more user behaviors of the user that when detected as occurring infers user's interest in seeing the one or more first augmentations; and displaying, in response at least in part to said detecting, one or more second augmentations through a second augmented view of the first actual scene or of a second actual scene, the one or more second augmentations to be displayed being based, at least in part, on the registering of the one or more first augmentations. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Methods, apparatuses, computer program products, devices and systems are described that carry out accepting a request associated with at least one of an item, an aspect, or an element that is not present in a field of view of a user's augmented reality device; presenting in a display of the augmented reality device at least one augmented reality representation related to the at least one item, aspect, or element in response to accepting a request associated with at least one item, aspect, or element that is not present in a field of view of an augmented reality device; and processing the request and any related interaction of the user via the at least one augmented reality representation.

Abstract: Methods, apparatuses, computer program products, devices and systems are described that carry out accepting at least one email communication from at least one member of a network; disambiguating the at least one search term including associating the at least one search term with at least one of network-participation identifier data or device-identifier data; and presenting the sender profile in association with the at least one email communication.

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 preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include detecting one or more user reactions of a user in response to a display to the user of an augmented view of an actual scene from a real environment, the augmented view that was displayed including one or more augmentations, and correlating the detected one or more user reactions with at least one or more aspects associated with the one or more augmentations that were included in the augmented view that was presented. In addition to the foregoing, other aspects are described in the claims, drawings, and text.