Managing bystander effects in electronic communications

    公开(公告)号:US11329838B2

    公开(公告)日:2022-05-10

    申请号:US16813485

    申请日:2020-03-09

    摘要: Bystander effect management can include determining a likelihood of a bystander effect on at least one chat participant engaging in a chat discourse over an electronic communications network. The likelihood can be determined by a bystander effect perception (BEP) model generated based on collaboration interaction metrics derived from prior discourses conducted over the electronic communications network by a chat group. A bystander effect reaction (BER) can be generated in response to determining that the likelihood of the bystander effect exceeds a predetermined threshold, the BER being determined based on the BEP model to be more likely than not to enhance collaboration among at least some chat participants engaging in the chat discourse. A notification based on the BER can be conveyed to one or more chat participants engaging in the chat discourse over the electronic communications network.

    SUMMARIZING MULTI-MODAL CONVERSATIONS IN A MULTI-USER MESSAGING APPLICATION

    公开(公告)号:US20210383799A1

    公开(公告)日:2021-12-09

    申请号:US16896611

    申请日:2020-06-09

    摘要: An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

    System and method for health data management with wearable devices

    公开(公告)号:US11158414B2

    公开(公告)日:2021-10-26

    申请号:US16520724

    申请日:2019-07-24

    摘要: Disclosed embodiments provide techniques for identifying gaps in health management data, and combining an estimated data subset with the health management data to fill in gaps in the health management data. The health management data can be derived from a wearable electronic fitness tracking device such as a smart watch or pedometer. The estimated data subset can be derived based on historical data for the individual, average data for a demographic group, crowdsourced, or estimated based on user profile information, and/or portable electronic device information, such as from a smartphone belonging to a user. The estimated data subset is combined with the health management data to form a revised health parameter dataset. The estimated data subset may be sent to a wearable electronic fitness tracking device, which causes the wearable electronic fitness tracking device to initiate a fitness program adjustment based on the revised health parameter dataset.

    Dynamic socialized collaboration nodes

    公开(公告)号:US11063945B2

    公开(公告)日:2021-07-13

    申请号:US16136420

    申请日:2018-09-20

    摘要: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining ledger data of a blockchain ledger; examining node data of a plurality of candidate nodes, wherein the examining node data includes examining data of candidate nodal networks associated to respective ones of the plurality of candidate nodes; and transitioning blockchain ledger access in dependence on the examining of the ledger data and in dependence on the examining of the node data, wherein the transitioning blockchain ledger access includes transitioning blockchain ledger access between a first candidate node and a second candidate node of the plurality of candidate nodes.