Abstract: Disclosed is a system and method for supporting automated self-experimentation based on lifelog data for health behavior change. The system includes a data collection unit configured to collect data related to a user from a plurality of smart terminals and preprocess the data as variables that represent a lifelog of the user; a causal inference unit configured to establish a causal relationship hypothesis between the variables of the user and infer a causal relationship between the variables collected from the user using a statistical analysis method; a variable recommendation unit configured to recommend a variable for verifying the causal relationship through self-experimentation for the user based on an inference result acquired from the causal inference unit and an interaction of the user with the system; and a self-experimentation planning unit configured to plan and conduct an experiment to verify the causal relationship through the self-experimentation for the user.

Abstract: Provided is an analysis system and method for causal inference of digital therapeutics based on mobile data. An analysis method for causal inference of digital therapeutics performed by an analysis system may include collecting mobile data generated by a mobile device; performing a causal inference of digital therapeutics using the collected mobile data; and providing an analysis result acquired through the performed causal inference of the digital therapeutics.

Abstract: Disclosed are a method and apparatus for sampling a context-adaptive personalized psychological state for a wearable device.

Abstract: Disclosed are a method and apparatus for managing a distraction to a smart device based on a context-aware rule. A method of managing a distraction to a smart device based on a context-aware rule, in the present disclosure, includes the steps of setting a context-aware distraction management rule, collecting context information for applying a distraction management mode based on the set context-aware distraction management rule, determining whether to set a distraction management mode and setting the distraction management mode, collecting context information for releasing the set distraction management mode, and determining whether to release the setting of the distraction management mode and releasing the distraction management mode.

Abstract: Disclosed are a method and apparatus for managing a distraction to a smart device based on a context-aware rule.

Abstract: Disclosed are a method and apparatus for sampling a context-adaptive personalized psychological state for a wearable device.

Abstract: Disclosed are a persuasive interaction restriction method and system for the intervention of smart device overuse based on context-awareness. A method of restricting an interaction of a smart device based on context awareness is executed by a computer, and may include training a user's interactivity with a smart device and an app installed on the smart device, setting an intervention method related to restriction on the use of the app based on the trained interactivity, recognizing whether context requires intervention based on predetermined interactivity restraint setting information, and restricting the use of the app based on the intervention method set if the context is recognized to require intervention.

Abstract: Disclosed are a persuasive interaction restriction method and system for the intervention of smart device overuse based on context-awareness. A method of restricting an interaction of a smart device based on context awareness is executed by a computer, and may include training a user's interactivity with a smart device and an app installed on the smart device, setting an intervention method related to restriction on the use of the app based on the trained interactivity, recognizing whether context requires intervention based on predetermined interactivity restraint setting information, and restricting the use of the app based on the intervention method set if the context is recognized to require intervention.

Abstract: Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.

Abstract: A method for mediating uses of smart devices of group users includes creating a location-based virtual self-control space, searching for a virtual self-control space that is adjacent to a smart device of a requester for mediating uses of the smart devices of the group users, from the created virtual self-control space, selecting an interest space which the requester is to participate in, from the found virtual self-control space, and allowing smart devices of group users pertaining to the interest space to participate in self-control of use, allowing the smart devices of the group users to apply a use restraining mode in the virtual self-control space corresponding to the interest space, and after applying the use restraining mode, allowing the smart devices of the group users to release the use restraining mode in the virtual self-control space corresponding to the interest space.

Abstract: Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.

Abstract: Methods determine data spots in a network by identifying a transmission resource and its characteristics so as to determine geography of a data spot. Users are then directed to, locate, and/or move to the data spot and retrieve desired content. Users may be directed to the determined data spot, with a map or compass. Transmission resources include ad hoc hotspots for need by sideloading network users in a communicative proximity. Methods may match characteristics of the requesting network user with determined transmission resources to position a data spot. Example methods may be configured based on amounts of network resources consumed, third-party costs to a user, maximizing user experience by providing nearer and faster data spots, and/or any other desired criteria. Different portions of the methods may be performed by the network, the user, and/or third-parties, to reduce network burden while supplying users with desired content through data spots.

Abstract: The invention is directed to energy-efficient network processing of delay tolerant data packet traffic. Embodiments of the invention determine if an aggregate of time critical traffic flow rates and minimum rates for meeting QoS requirements of delay tolerant traffic flows exceeds a combined optimal rate of packet processing engines of a network processor. In the affirmative case, embodiments set the processing rate of individual packet processing engines to a minimum rate, such that the cumulative rate of the packet processing engines meets the aggregate rate, and schedule the delay tolerant flows to meet their respective minimum rates. Advantageously, by throttling the processing rate of only delay tolerant traffic, energy consumption of network processors can be reduced while at the same time QoS requirements of the delay tolerant traffic and time critical traffic can be met.

Abstract: The invention is directed to energy-efficient network processing of delay tolerant data packet traffic. Embodiments of the invention determine if an aggregate of time critical traffic flow rates and minimum rates for meeting QoS requirements of delay tolerant traffic flows exceeds a combined optimal rate of packet processing engines of a network processor. In the affirmative case, embodiments set the processing rate of individual packet processing engines to a minimum rate, such that the cumulative rate of the packet processing engines meets the aggregate rate, and schedule the delay tolerant flows to meet their respective minimum rates. Advantageously, by throttling the processing rate of only delay tolerant traffic, energy consumption of network processors can be reduced while at the same time QoS requirements of the delay tolerant traffic and time critical traffic can be met.

Abstract: Methods determine data spots in a network by identifying a transmission resource and its characteristics so as to determine geography of a data spot. Users are then directed to, locate, and/or move to the data spot and retrieve desired content. Users may be directed to the determined data spot, with a map or compass. Transmission resources include ad hoc hotspots for need by sideloading network users in a communicative proximity. Methods may match characteristics of the requesting network user with determined transmission resources to position a data spot. Example methods may be configured based on amounts of network resources consumed, third-party costs to a user, maximizing user experience by providing nearer and faster data spots, and/or any other desired criteria. Different portions of the methods may be performed by the network, the user, and/or third-parties, to reduce network burden while supplying users with desired content through data spots.

Abstract: At least one example embodiment is directed to a method of processing a request for content including storing, at a network element, user information for a plurality of users, the user information including a location of the user and received content information, receiving a request for content from a requester, determining a potential peer from the plurality of users based on the request for content and the user information, and sending a response to the requester based on the determining

Abstract: The invention is directed to energy-efficient network processing of delay tolerant data packet traffic. Embodiments of the invention determine if an aggregate of time critical traffic flow rates and minimum rates for meeting QoS requirements of delay tolerant traffic flows exceeds a combined optimal rate of packet processing engines of a network processor. In the affirmative case, embodiments set the processing rate of individual packet processing engines to a minimum rate, such that the cumulative rate of the packet processing engines meets the aggregate rate, and schedule the delay tolerant flows to meet their respective minimum rates. Advantageously, by throttling the processing rate of only delay tolerant traffic, energy consumption of network processors can be reduced while at the same time QoS requirements of the delay tolerant traffic and time critical traffic can be met.