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 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.
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 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 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:
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.