Korea Advanced Institute of Science and Technology

Alcatel Lucent

Uichin Lee

Ivica Rimac

Inyeop Kim

Inseok Hwang

Chungkuk Yoo

Youngki Lee

Junehwa Song

Chulhong Min

Younghyun Ju

Volker Friedrich Hilt

Miri Moon

Xuan Bao

Joonyoung Park

Soowon Kang

Jaejeung Kim

Auk Kim

Narae Cha

Chanyou Hwang

Jaeung Lee

Cheulyoung Park

Disclosed are a method and apparatus for sampling a context-adaptive personalized psychological state for a wearable device. The apparatus may include a sensor data collection unit configured to collect sensor data using a mobile and a wearable device, a physical activity classification unit configured to deduce a user's physical activities based on the collected sensor data, a sensor data unsupervised learning unit configured to group data based on extracted sensor data feature values for each deduced physical activity, a hierarchical psychological state classification unit configured to deduce a current psychological state as corresponding sensor data based on the data classified by the sensor data unsupervised learning unit, an information collection request determination unit configured to determine whether to request self-report information collection from a user based on at least one of the deduced current psychological state, collected label information, the sensor data or a degree of a user burden, and an information collection interface unit configured to receive self-report information from the user when the information collection request determination unit determines to collect the self-report information from the user.

Method and apparatus for context-adaptive personalized psychological state sampling for wearable device

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.

Method and system for distraction management of context-aware rule-based smart device

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.

Method and system for context-aware persuasive interaction restraint to intervene smart device use

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.

Mobile device executing face-to-face interaction monitoring, method of monitoring face-to-face interaction using the same, and interaction monitoring system including the same, and mobile interaction monitoring application executed on the same

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.

Methods of locating data spots and networks and user equipment for using the same

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.

Quality of service aware rate throttling of delay tolerant traffic for energy efficient routing

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Daejeon, South Korea

Uichin Lee