Platforms and methods for improving correspondence of haptic output to sensor data

A method of providing haptic feedback for an industrial environment, the method comprising:

• collecting, by a data collection system, industrial sensor data from a plurality of sensors operably connected to the industrial environment;
• training a machine learning based on user data received from at least one user sensor, by the data collection system, indicative of a user behavior response to a haptic stimulation, wherein the machine learning is further trained by varying the haptic stimulation based on industrial sensor data from at least a subset of the plurality of sensors, and at least one of:
• a type of a plurality of types of haptic stimulation, a timing of haptic stimulation, an intensity level of haptic stimulation, or a duration of haptic stimulation;
• improving, by the machine learning, an effectiveness of a haptic stimulation by determining to vary one or more of a type of haptic stimulation, a timing of haptic stimulation, an intensity level of haptic stimulation, or a duration of haptic stimulation based on the industrial sensor data, to influence a user behavior with respect to at least one of a response, a system outcome, a data collection outcome, or an analytic outcome;
• and
• providing the haptic stimulation to the user.

A non-transitory computer-readable storage medium storing computer executable instructions that, when executed, cause at least one processor to perform actions comprising:

• collecting industrial sensor data from a plurality of sensors operably connected to an industrial environment;
• training machine learning based on user data received from at least one user sensor, indicative of a user behavior in response to a haptic stimulation, wherein the training further includes varying the haptic stimulation based on industrial sensor data from at least one of the plurality of sensors, wherein the training further includes varying the haptic stimulation based on industrial sensor data, and at least one of:
• a type of a plurality of types of haptic stimulation, a timing of haptic stimulation, an intensity level of haptic stimulation, or a duration of haptic stimulation;
• improving, using the machine learning, an effectiveness of a haptic stimulation by using the machine learning to determine to vary one or more of a timing, an intensity level, or a duration of the haptic stimulation based on the industrial sensor data, to influence a user behavior with respect to at least one of a response, a system outcome, a data collection outcome, or an analytic outcome;
• and
• instructing a haptic device to provide the haptic stimulation to the user.