US 11,959,809 B2
Systems, methods and devices for obtaining feedback information to reveal group preferences
Vicheslav Zinger, Alexandria (AU); and Gary Aitchison, Alexandria (AU)
Assigned to Cognian Technologies, Ltd., North Ryde (AU)
Filed by Cognian Technologies, Ltd., North Ryde (AU)
Filed on Apr. 29, 2022, as Appl. No. 17/733,083.
Application 17/733,083 is a continuation of application No. 14/906,244, granted, now 11,359,974, previously published as PCT/AU2014/000734, filed on Jul. 18, 2014.
Claims priority of provisional application 61/856,441, filed on Jul. 19, 2013.
Prior Publication US 2022/0357208 A1, Nov. 10, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/00 (2019.01); G01K 1/02 (2021.01); G05D 23/19 (2006.01); G06F 16/2457 (2019.01); G06F 16/28 (2019.01); G06F 16/9535 (2019.01); H04L 12/28 (2006.01)
CPC G01K 1/02 (2013.01) [G05D 23/1917 (2013.01); G06F 16/24573 (2019.01); G06F 16/24575 (2019.01); G06F 16/288 (2019.01); G06F 16/9535 (2019.01); H04L 12/2829 (2013.01); H04L 2012/285 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A system comprising:
a plurality of feedback devices for receiving a plurality of preferences and the plurality of preferences includes at least one first parameter, wherein the at least one first parameter has one or more of the following properties: observable, measurable, controllable, uncontrollable and unobservable;
at least one computer;
at least one second parameter which is measurable; and
wherein a measured value of the at least one second parameter is received by at least one computer and the plurality of feedback devices are configured to collect preference feedback from at least a portion of the plurality of individuals by permitting individual feedback to be actuated in a single action or in a single transaction at an individual feedback device of the plurality of feedback devices, wherein the single action or the single transaction may be actuated by an individual of the plurality of individuals during one or more of the following: periodic time intervals, predefined time intervals, random time intervals, substantially random time intervals and at substantially any time; wherein the plurality of feedback devices are configured to forward the preference feedback to the at least one computer; wherein the at least one computer performs one or more of the following:
collects, stores, or a combination thereof, a first set of data comprising one or more of the following: the preference feedback from the plurality of feedback devices; a statistics regarding a time corresponding to when an individual preference feedback was collected; a statistics regarding a time period corresponding to when the individual preference feedback was collected; a statistics regarding one or more times corresponding to when a plurality of preference feedbacks was collected; a statistics regarding one or more times corresponding to when one or more of preference feedbacks was collected; a statistics regarding one or more time periods corresponding to when the plurality of preference feedbacks was collected; a statistics regarding one or more time periods corresponding to when one or more of preference feedbacks was collected; statistics regarding how many times the individual feedback device of the plurality of feedback devices collected the plurality of preference feedbacks and how many times the individual feedback device of the plurality of feedback devices collected the individual preference feedback;
collects, stores, or a combination thereof, a second set of data comprising at least one measured value; provides instructions that may result in a change in the at least one second parameter; constructs at least one group preference model based at least in part on at least part of the first set of data and at least part of the second set of data, wherein the at least one group preference model predicts the future first set of data given the future second set of data;
provides instructions in periodic time intervals, in real time, in substantial real time or combinations thereof, based on the at least one group preference model and on at least one measured physical parameter, wherein the instructions are directed to one or more of the following: maintain the future first set of data within a certain range; precipitate the future first set of data to a predefined range; move the future first set of data towards a certain range;
maintain the future first set of data within a certain range while satisfying a constraint; precipitate the future first set of data to a predefined range while satisfying the constraint; and move the future first set of data towards a certain range while satisfying a constraint; and
corrects, if needed, at least one group preference model based at least in part on at least part of the first set of data and at least part of the second set of data.