Interacting meaningfully with machine learning systems: Three experiments

Although machine learning is becoming commonly used in today's software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple “right/wrong” judgments. If the users themselves could work hand-in-hand with machine learning systems, the users’ understanding and trust of the system could improve and the accuracy of learning systems could be improved as well. We conducted three experiments to understand the potential for rich interactions between users and machine learning systems. The first experiment was a think-aloud study that investigated users’ willingness to interact with machine learning reasoning, and what kinds of feedback users might give to machine learning systems. We then investigated the viability of introducing such feedback into machine learning systems, specifically, how to incorporate some of these types of user feedback into machine learning systems, and what their impact was on the accuracy of the system. Taken together, the results of our experiments show that supporting rich interactions between users and machine learning systems is feasible for both user and machine. This shows the potential of rich human–computer collaboration via on-the-spot interactions as a promising direction for machine learning systems and users to collaboratively share intelligence

Design and development of an AGV using RF module

Automated guided vehicles play an important role in the flexible manufacturing system. The project mainly deals with the design and development of an AGV and controlling it with computer through RF signals. This includes several steps • Design of microcontroller on robot. Here ATMEGA 16 (AVR series of microcontroller) is used as it is enabled with all sorts of required features. • Design of driving systems. Stepper motors are used. • Design of communication systems. RF modules are to be used to communicate data between computer and AGV. Driving system Stepper motors are used to drive the AGV. They are controlled by ATMEGA 16 microcontroller and a driver chip to amplify the current to the motor. Communication The details of position and feedback should be sent to the central computer and instructions received to proceed to do further tasks. The communication has to be wireless to make things easier. Available RF modules are to be used which are serial in nature. But before that, the parallel data has to be converted into the serial data