It is a further object of the present invention to propose a solution or method respectively for an improved adjustment of settings of a hearing aid or hearing instrument respectively by using a increased amount of setting changes initiated by the user due to non optimal settings of the hearing aid giving the user the possibility for improved adjustment without the need of consulting an audiologist or fitter respectively.
It is furthermore an object of the present invention to provide a hearing aid or hearing instrument respectively suitable for improved adjustments of hearing instrument settings by learning algorithms where optimal adjustments can be achieved within shortened period.
According the present invention a method according the wording of claim 1 is proposed.
According the inventive method for the improved adjustments of settings of a hearing instrument or hearing aid respectively it is proposed, that at least one setting of the hearing aid for a particular acoustic environment is changed or deviated from the actual setting without any preceding action or manipulation of the user to provoke the user to interact or readjust e.g. said setting.
This provocation could be a change in volume, output level, spectral shape, distortions (feedback-canceller), noise cleaning (noise canceller, beamformer), program or any other significant alteration within the actual acoustical environment. If the user would not interfere, the change would not be significant, thus informative for the learning sequence as well. On the other hand it might well be, that the user was not aware about the deviation or was not in a position to react within a reasonable time period. With other words it might well be, that the deviation from the actual setting has to be repeated to again provoke an interaction by the user.
The repetition of the provocation can be either an additional deviation or a repetition of the original deviation, which means that before repetition of the provocation the settings will be reset.
The provoked interaction of the end-user either can e.g. be a change on exactly the same parameter the hearing aid has changed or can consist in simply accepting or declining the change. In the latter case the scope of parameters on which provocation learning can be applied is much broader than in the first case, because it is not necessary that the hearing aid's end-user interface offers direct access to the changed parameter.
The user could be informed about the special behaviour of the hearing instrument so that he/she could stop the procedure in case of serious annoyance. However a blind experiment could be made as well, what ever is the more appropriate approach in praxis.
The provocation could be randomly out of the box or following some rules or templates which means the deviation or changes of the at least one setting for a particular acoustical environment could be changed randomly or according to a predetermined regular or irregular rule, algorithm, etc. The changes or deviations in settings may be depending on user responses or data memorized in the meantime of the learning period. Provocations strategies and rules can be derived from various tests of different user persons and using different algorithms, programs, etc. according which the deviations or changes of the settings of the hearing instrument are initiated.
For the adjustment of the settings of a hearing instrument at least one setting can be repeatedly changed or deviated from the proceeding settings for a particular acoustic environment and respective repeated interactions or readjustments done by the user can lead to a final optimized setting value, which can be stored within the hearing instrument as new basic optimized setting of the hearing aid for the mentioned particular acoustic environment.
According a further method it is possible, that after a change or deviation from the actual setting for a particular acoustic environment in case no interaction or readjustment is done by the user or is recognized by the hearing instrument it might by advisable to either repeat the deviation or change of the setting and/or to inform the user e.g. acoustically about the non recognized change of the settings.
Again furthermore it is possible that within the hearing instrument so called basic settings are stored which will remain unchanged while a so called actualized setting value for a particular acoustic environment is changed to provoke the user to interact and to readjust the user-setting while the basic device setting remains unchanged. Only if the user person is of the opinion, that the actualized setting or user setting is optimal the basic setting of the hearing instrument will be changed or adjusted respectively. It is further possible that the basic hearing instrument settings will be changed or adjusted only after restart of the hearing instrument. Therefore at least some of the individual settings of the hearing instrument each for a particular acoustic environment may comprise a basic setting value and an actualized setting value which latter is changed without the influence of the user to provoke the user to interact or adjust the respective user setting, the respective basic setting of the hearing instrument is only adjusted to the respective user setting upon activation by the user, an audiologist, a fitter and/or at restart of the device.
Again according a further proposed method the user could be informed about the change or deviation from the actual setting after a certain period, first of all asking the user, whether he recognized the change and if yes, if in case of a change or readjustment of the user setting the actual setting is improved, equivalent or worth compared with the initial setting.
One problem of course may occur, if the acoustic environment conditions change rapidly, so that one and the same setting can not be changed within a reasonable time period for a particular acoustic environment. It is therefore preferred, that changes of settings or deviations from actual settings will only be initiated in case, that the user will stay in more or less constant acoustic environments. Otherwise in case of rapid changes of acoustic environment any randomly initiated changes in settings should be neglected or reset to the initial settings.
The above mentioned and proposed inventive methods in principal are not only suitable for learning sequences within the instrument but they could be used to speed up the validation phase while triggering the user to actively interfere with the instrument and search for the best program or setting of the instrument in a given solution.
Furthermore according the present invention a respective software is proposed which enables a hearing instrument to apply the above mentioned method for improved adjustment of hearing aid settings for a particular acoustic environment. Preferred of course is a software which is applicable universally in most of the today used hearing aids or hearing instruments respectively at least for some of the settings used within a hearing instrument.
It is of course possible to incorporate such a software within the hearing instrument itself or within a remote control, which is installed e.g. within an ordinary tool daily used such as e.g. within a arm watch, a handy etc.