Abstract: A multi-channel communication platform includes a messaging engine a routing engine and a queue manager. The messaging engine is operative to receive a plurality of textual messages from a user, the plurality of textual messages forming a message thread and including at least one query requesting a reply. The routing engine is operative to transmit the message thread to a message queue associated with a live agent and to receive a reply from the live agent and transmit the reply to the user. The queue manager is operative to provide the live agent with an adjustable reward following a response to the query, with the amount of the award being based on one or more of: the perceived complexity of the query; a number of outstanding or unassigned queries; or the perceived urgency of the query.

Abstract: A multi-channel communication platform includes a messaging engine operative to receive a plurality of textual messages from a user, a routing engine, and an agent interface. The plurality of textual messages form a message thread and include at least one query requesting a reply. The routing engine is operative to transmit the message thread to a message queue associated with a live agent and to receive a reply from the live agent and transmit the reply to the user. The agent interface includes an active chat thread displaying the message thread and operative to receive the reply from the live agent, and a support window operative to display contextual information to the live agent about at least one of the user or the message thread. The routing engine further includes an automated agent that is configured to analyze the query and provide one or more proposed responses to the query.

Abstract: A multi-channel communication platform includes a messaging engine operative to receive a plurality of textual messages from a user, a routing engine, and an agent interface. The plurality of textual messages form a message thread and include at least one query requesting a reply. The routing engine is operative to transmit the message thread to a message queue associated with a live agent and to receive a reply from the live agent and transmit the reply to the user. The agent interface includes an active chat thread displaying the message thread and operative to receive the reply from the live agent, and a support window operative to display contextual information to the live agent about at least one of the user or the message thread. The routing engine further includes an automated agent that is configured to analyze the query and provide one or more proposed responses to the query.

Abstract: A multi-channel communication platform includes a messaging engine, a routing engine, and a queue manager. The messaging engine is operative to receive a plurality of textual messages from a user through any of a plurality of different messaging services in communication with the messaging engine. The plurality of textual messages form a message thread and include at least one query requesting a reply. The routing engine is operative to determine a momentum of the plurality of textual messages and to assign the message thread to a message queue associated with an agent. The queue manager is operative to specify a response time goal for providing the reply to the at least one query, where the response time goal is inversely proportional to the determined momentum.

Abstract: A multi-channel communication platform includes a messaging engine, a routing engine, and a queue manager. The messaging engine is operative to receive a plurality of textual messages from a user through any of a plurality of different messaging services in communication with the messaging engine. The plurality of textual messages form a message thread and include at least one query requesting a reply. The routing engine is operative to determine a momentum of the plurality of textual messages and to assign the message thread to a message queue associated with an agent. The queue manager is operative to specify a response time goal for providing the reply to the at least one query, where the response time goal is inversely proportional to the determined momentum.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Abstract: Systems for removing or attenuating friction and/or click noise generated during writing with a smart pen are disclosed. In a smart pen, the writing cartridge is biased towards a first side of the smart pen internal cavity by a low-force biasing system without affecting writing cartridge movement. For example, the writing cartridge is comprised of a magnetic material and a magnet is embedded into the first side of the smart pen internal cavity to bias the writing cartridge towards the first side. Alternatively, the material comprising the writing cartridge or smart pen internal cavity is modified, reducing friction between the components. As another alternative, a DSP method identifies analyzes one or more parameters of received audio data to differentiate click noise from audio data, and may receive data from a movement sensor indicating when the writing cartridge has moved to reduce power consumption for identifying click noise.

Abstract: Systems for removing or attenuating friction and/or click noise generated during writing with a smart pen are disclosed. In a smart pen, the writing cartridge is biased towards a first side of the smart pen internal cavity by a low-force biasing system without affecting writing cartridge movement. For example, the writing cartridge is comprised of a magnetic material and a magnet is embedded into the first side of the smart pen internal cavity to bias the writing cartridge towards the first side. Alternatively, the material comprising the writing cartridge or smart pen internal cavity is modified, reducing friction between the components. As another alternative, a DSP method identifies analyzes one or more parameters of received audio data to differentiate click noise from audio data, and may receive data from a movement sensor indicating when the writing cartridge has moved to reduce power consumption for identifying click noise.