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   1794

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.

BNC to Monitor BTC Community's Mood

The system called Twitter Sentiment analyzes over 34M BTC-related Twitter posts each week, using AI to track the mood of the community
22 January 2020   479

Blockchain-based New Zealand-based research firm Brave New Coin (BNC) has unveiled a new system for measuring the mood of the Bitcoin community based on Twitter messages.

According to BNC, the new Twitter Sentiment rating system analyzes over 34 million BTC-related Twitter posts each week. The company uses artificial intelligence (AI) algorithms that look for records containing the words bitcoin, $ BTC and BTC and others.

BNC notes that user sentiment continues to be a “significant” factor in the price and dynamics of digital assets, and a new technique has been developed to track these sentiments. According to the BNC, it took 18 months to launch the Bitcoin Twitter Sentiment. The data obtained is divided into seven categories - Opinion, Technical Information, Inside the Network, Advertising, Bots, Macros and Hacking.

For the week ending January 17, the most common entries were in the Opinion category - their number was 30.42% of all data received. In second place was the category Technical Information, and in third inside the network (includes information on mining and hashrate).

BNC spokeswoman Pierre Ansaldi said that during the first quarter of this year, the company will also launch community sentiment analysis tools for other crypto assets.