Honda motor co., ltd. (20240328802). TRUST CALIBRATION simplified abstract
Contents
TRUST CALIBRATION
Organization Name
Inventor(s)
Teruhisa Misu of San Jose CA (US)
Shashank Kumar Mehrotra of Campbell CA (US)
Zhaobo K. Zheng of San Jose CA (US)
Kumar Akash of Milpitas CA (US)
TRUST CALIBRATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240328802 titled 'TRUST CALIBRATION
The system for trust calibration described in the abstract involves a processor and memory storing instructions to build a trust profile for a user based on interactions with autonomous devices.
- The system receives records of interactions between a user and an autonomous device.
- It builds a trust profile for the user based on these interactions.
- It operates a target autonomous device based on the trust profile.
Potential Applications: - Personalized user experiences with autonomous devices - Enhanced security measures based on trust levels - Customized recommendations and services based on trust profiles
Problems Solved: - Lack of personalized interactions with autonomous devices - Difficulty in establishing trust between users and devices - Limited understanding of user preferences and behaviors
Benefits: - Improved user satisfaction and trust in autonomous devices - Enhanced user safety and security - Tailored services and recommendations based on individual trust levels
Commercial Applications: Title: Trust-Based Autonomous Device Management System This technology could be utilized in various industries such as: - Home automation - Healthcare - Retail - Transportation
Questions about Trust-Based Autonomous Device Management System: 1. How does the system determine the trust level of a user? The system determines the trust level based on the user's interactions with autonomous devices and the outcomes of those interactions.
2. Can the trust profile be adjusted over time? Yes, the trust profile can be updated and modified based on new interactions and feedback from the user.
Original Abstract Submitted
according to one aspect, a system for trust calibration may include a processor and a memory. the memory may store one or more instructions. the processor may execute one or more of the instructions stored on the memory to perform one or more acts, actions, or steps, such as receiving a record of one or more interactions between a user and a first autonomous device, building a trust profile for the user based on one or more of the interactions between the user and the first autonomous device, and operating a target autonomous device based on the trust profile.
