Abstract: A fitting system includes one or more processors configured to: initialize a user model; obtain a test setting comprising a primary test setting and a secondary test setting; output the primary test setting and the secondary test setting for presentation to a user; obtain a user input for a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on a hearing device parameter of the preferred test setting; wherein the one or more processors are configured to initialize the user model by: obtaining a profile of the user; obtaining a group of reference users; obtaining reference posteriors of reference users in the group of reference users; determining a collaborative user preference distribution based on the reference posteriors; setting the collaborative user preference distribution as a prior; and initializing the user model based on the prior.

Abstract: A method for updating a user model and fitting agent for a hearing device system is disclosed, the hearing device system comprising a hearing device worn by a hearing device user, wherein the fitting agent comprises one or more processors configured to initialize a user model comprising a plurality of user preference functions and associated user response distributions, wherein each user preference function is associated with an environment; obtain environment data indicative of a present environment; obtain a test setting comprising a primary test setting and a secondary test setting for the hearing device; present the test setting to the hearing device user; obtain a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting and the environment data.

Abstract: A fitting agent, e.g. for update of a user model for a hearing device user, and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function and/or a user response distribution; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to update the user model optionally comprises to determine a posterior of parameters of the user preference function, e.g. based on a previous parameter posterior, the preferred test setting, and a non-preferred test setting.

Abstract: Disclosed herein is an apparatus comprising a camera and a processing unit operatively coupled to the camera, wherein the processing unit is configured to: receive a sequence of images captured by the camera; process a first image of the received sequence of images to compute respective likelihoods of each of a plurality of predetermined facial features being visible in the first image; compute, from the computed likelihoods, a probability that the first image depicts a predetermined first side of a human head; responsive to at least the computed probability exceeding the predetermined detection probability, trigger performance of a predetermined action.

Abstract: A fitting agent for a hearing device and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to obtain the secondary test setting comprises: obtain a candidate set of candidate test settings; determine an uncertainty parameter for each candidate test setting; and select the secondary test setting from the candidate set of candidate test settings based on the uncertainty parameters of the candidate test settings.

Abstract: A method for updating a user model and fitting agent for a hearing device system is disclosed, the hearing device system comprising a hearing device worn by a hearing device user, wherein the fitting agent comprises one or more processors configured to initialize a user model comprising a plurality of user preference functions and associated user response distributions, wherein each user preference function is associated with an environment; obtain environment data indicative of a present environment; obtain a test setting comprising a primary test setting and a secondary test setting for the hearing device; present the test setting to the hearing device user; obtain a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting and the environment data.

Abstract: A fitting agent, e.g. for update of a user model for a hearing device user, and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function and/or a user response distribution; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to update the user model optionally comprises to determine a posterior of parameters of the user preference function, e.g. based on a previous parameter posterior, the preferred test setting, and a non-preferred test setting.

Abstract: A fitting agent for a hearing device and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to obtain the secondary test setting comprises: obtain a candidate set of candidate test settings; determine an uncertainty parameter for each candidate test setting; and select the secondary test setting from the candidate set of candidate test settings based on the uncertainty parameters of the candidate test settings.