Honda motor co., ltd. (20240107936). INFORMATION OUTPUT DEVICE AND INFORMATION OUTPUT METHOD simplified abstract

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INFORMATION OUTPUT DEVICE AND INFORMATION OUTPUT METHOD

Organization Name

honda motor co., ltd.

Inventor(s)

Ken Yamauchi of Wako-shi (JP)

Hideaki Shimamura of Wako-shi (JP)

INFORMATION OUTPUT DEVICE AND INFORMATION OUTPUT METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240107936 titled 'INFORMATION OUTPUT DEVICE AND INFORMATION OUTPUT METHOD

Simplified Explanation

The abstract describes an information output device that provides recommendation information to users based on their request information and working machine information related to autonomous working machines.

  • The device acquires request information from users, such as working time, work region, and cost for using the autonomous working machine.
  • It also acquires working machine information for each type of autonomous working machine.
  • The output unit then generates recommendation information, including the model of the autonomous working machine recommended for acquisition by the user.

Potential Applications

This technology could be applied in industries where autonomous working machines are used, such as agriculture, construction, and logistics.

Problems Solved

This technology helps users make informed decisions when acquiring autonomous working machines by providing personalized recommendations based on their specific needs and preferences.

Benefits

Users can save time and effort in researching and selecting the most suitable autonomous working machine for their requirements. This can lead to increased efficiency and productivity in their operations.

Potential Commercial Applications

"Optimizing Autonomous Working Machine Recommendations for Users"

Possible Prior Art

There may be prior art related to recommendation systems for various types of machinery or equipment in different industries.

What are the potential limitations of this technology in real-world applications?

The technology may face challenges in accurately predicting user preferences and needs based on the acquired information, leading to potential mismatches in the recommended autonomous working machine models.

How can the accuracy and effectiveness of the recommendation system be improved over time?

The system can be enhanced by incorporating machine learning algorithms to analyze user feedback and behavior patterns, continuously refining the recommendation process to better match user requirements.


Original Abstract Submitted

an information output device includes a first acquisition unit that acquires request information that is a request of a user, a second acquisition unit that acquires working machine information related to performance of an autonomous working machine and set for each type of the autonomous working machine, and an output unit that outputs recommendation information satisfying the request of the user, based on the request information and each piece of the working machine information. the request information includes information about a working time during which the autonomous working machine works, information about a work region in which the autonomous working machine works, and information about a cost for using the autonomous working machine, and the recommendation information includes information about a model of the autonomous working machine to be recommended to the user for acquisition.