-
公开(公告)号:US09575563B1
公开(公告)日:2017-02-21
申请号:US14144177
申请日:2013-12-30
Applicant: Google Inc.
Inventor: Chun Yat Frank Li , Daniel Rodriguez Magana , Thiago Teixeira , Charles Chen , Anand Agarawala
CPC classification number: G06F3/167 , G02B27/017 , G02B27/0172 , G02B2027/0138 , G02B2027/0141 , G02B2027/0178 , G06F3/011 , G06F3/017 , G06F3/03547 , G06F3/038 , G06F3/044 , G06F3/0484 , G06F3/04883 , G06F9/453 , G06Q30/0601 , G10L15/00 , G10L15/26 , G10L15/265 , G10L15/30
Abstract: Embodiments may relate to intuitive user-interface features for a head-mountable device (HMD), in the context of a hybrid human and computer-automated response system. An illustrative method may involve a head-mountable device (HMD) that comprises a touchpad: (a) sending a speech-segment message to a hybrid response system, wherein the speech-segment message is indicative of a speech segment that is detected in audio data captured at the HMD, and wherein the speech-segment is associated with a first user-account with the hybrid response system, (b) receiving a response message that includes a response to the speech-segment message and an indication of a next action corresponding to the response to the speech-segment message, (c) displaying a card interface that includes an indication of the response, and (d) while displaying the response, detecting a singular touch gesture and responsively initiating the at least one next action.
Abstract translation: 实施例可以涉及在混合式人机和计算机自动化响应系统的上下文中用于可头戴式设备(HMD)的直观用户界面特征。 说明性方法可以涉及包括触摸板的可头戴式装置(HMD):(a)向混合响应系统发送语音段消息,其中所述语音段消息指示在音频中检测到的语音段 在HMD处捕获的数据,并且其中所述语音段与具有所述混合响应系统的第一用户帐户相关联,(b)接收包括对所述语音段消息的响应的响应消息和下一动作的指示 (c)显示包括所述响应的指示的卡接口,以及(d)在显示所述响应的同时,检测单个触摸手势并且响应地启动所述至少一个下一个动作。
-
公开(公告)号:US09772816B1
公开(公告)日:2017-09-26
申请号:US14578586
申请日:2014-12-22
Applicant: Google Inc.
Inventor: Jeffrey Bigham , Walter Lasecki , Thiago Teixeira , Adrien Treuille
CPC classification number: G06F3/167 , G06F17/243 , G06F17/248 , G06F17/2785 , G10L15/26 , G10L2015/088
Abstract: Example systems and methods may facilitate processing of voice commands using a hybrid system with automated processing and human guide assistance. An example method includes receiving a speech segment, determining a textual representation of the speech segment, causing one or more guide computing devices to display one or more portions of the textual representation, receiving input data from the one or more guide computing devices that identifies a plurality of chunks of the textual representation, determining an association between the identified chunks of the textual representation and corresponding semantic labels, and determining a digital representation of a task based on the identified chunks of the textual representation and the corresponding semantic labels.
-