Automated design systems and methods for human-machine interface (hmi) configuration and operation

An automated design system for configuring a human-machine interface (HMI) device, the automated design system comprising:

• a large-language model (LLM) module programmed to:
• receive a set of HMI system development metrics including system requirements data, system objectives data, and source code data;
• generate, using the received set of HMI system development metrics, an interaction sequence script containing a sequence of steps for executing an HMI feature on the HMI device;
• a system controller configured to:
• configure the HMI device using the received set of HMI system development metrics;
• and
• generate and store a feedback log containing feedback data received from a group of test clinic contributors using the interaction sequence script to test the HMI feature on the configured HMI device;
• and
• a multimodal generative artificial intelligence (AI) module programmed to generate a set of proposed HMI changes using the feedback data,
• wherein the system controller is further configured to reconfigure the HMI device using a subset of HMI changes selected from the set of proposed HMI changes.

A non-transient, computer-readable medium (CRM) storing instructions executable by one or more system controllers and/or one or more system control modules of an automated design system for configuring a human-machine interface (HMI) device, the instructions, when executed, causing the automated design system to perform operations comprising:

• receiving, via a large-language model (LLM) module, a set of HMI system development metrics including system requirements data, system objectives data, and/or source code data;
• generating, via the LLM module using the received set of HMI system development metrics, an interaction sequence script containing a sequence of steps for executing an HMI feature on the HMI device;
• configuring the HMI device using the received set of HMI system development metrics;
• generating a feedback log containing feedback data received from a group of test clinic contributors using the interaction sequence script to test the configured HMI device;
• generating, via a multimodal generative artificial intelligence (AI) module, a set of proposed HMI changes using the feedback data;
• and
• reconfiguring the HMI device using a subset of HMI changes selected from the set of proposed HMI changes.