AI Can Now Determine the Person's Traits by Eye Movements

50 students from the Flinders University took part in the study: 42 women and 8 men
31 July 2018   308

A group of researchers was able to teach artificial intelligence to reveal the traits of a person by the movements of the eyes. The accuracy of the determination varies depending on the line. Neuronet recognized extraversion in 48.6% of cases, conviction in 45.9% and neuroticism in 40.3%. With such features as openness and curiosity, AI cope somewhat worse. This is reported by VentureBeat.

The relationship between eye movements and character traits was known for a long time. However, previously the data were collected exclusively in the laboratory. In this study, scientists set out to make records in the field.

In addition, traditionally collected data was processed manually. Artificial intelligence to perform this work was used for the first time.

To obtain the necessary information, 50 students from the Flinders University were selected: 42 women and 8 men. Their personal characteristics were determined with the help of three profiling tests: NEO Five-Factor Inventory, Perceptual Curiosity and Curiosity and Exploration Inventory. Then the subjects were asked to walk along the campus of the university for 10 minutes and acquire the subject of their choice. The recording of eye movements was carried out using SensoMotoric Instruments equipment and mobile phones.

All collected data were processed by a neural network. The accuracy of the determination did not exceed 50%, however, the researchers consider this a good result. According to the specialists who conducted the research, if you use more data for training, it will be possible to improve the result.

The work carried out made it possible to expand knowledge about the relationship of eye movements with personality traits. It was found, for example, that the diameter of the pupils is closely related to neuroticism.

Software developers have already tried to make the user's eye movement part of the interface. The FacePause extension for Google Chrome pauses the video on YouTube if the viewer turns away from the computer.

Oracle to Open GraphPipe Source Code

GraphPipe is a tool that simplifies the maintenance of machine learning models
17 August 2018   136

Oracle has opened the source code of the GraphPipe tool to simplify the maintenance of machine learning models. It supports projects based on the TensorFlow, MXNet, Caffe2 and PyTorch libraries. They are intended for use in IoT-devices, custom web-services and corporate AI-platforms.

The tool eliminates the need for developers to create custom APIs. Also, it eliminates confusion when using multiple frameworks and prevents memory copying during deserialization. The developers hope that GraphPipe will become a standard tool for deploying models.

GraphPipe is free and available on GitHub. It consists of open source tools designed to work with artificial intelligence. For example, the TensorFlow framework and the Open Neural Network Exchange (ONNX) project for creating portable neural networks are among them.

In September 2017, Microsoft introduced own tools for operating with machine learning. At the same time, the company released utilities for using Visual Studio Code when creating models based on the CNTK and Keras frameworks.