Summary: Investigators develop AI tool called emosync that increases sensitivity in accordance with the emotional interest and personality of each user and health experiences. Unlike traditional empathy tech that takes the same emotional responses, emosync uses a large language model (LLM) to map personal features and produce custom conditions.
In the study of more than 100 participants, those who use emosync showing better understanding of the feelings of others than in the normal cities. Technology represents a new boundary on the well-in-way knowledge of feelings, which aims to promote the true understanding of each person in complex socially complex areas.
Key facts:
- Customized Empathy: Emosync is using llms to create customable evalogies based on personality and heritage.
- Certified results: Users show progressive emotional development compared to traditional sympathy tools.
- The Real Impact of the World: Emosync helps emotional immigrants in different communities by translating the feelings of others in related experiences.
Source: Postech
The research group in the Popech (Pohang University of Science and Technology has established AI's technology that helps people understand the feelings of the human qualities by analyzing human qualities and productive values.
This study is recognized “by choosing the popularity of Honor the Feelings,” Given 5% of the top 525 tracking of the ACM Chi 2025, the world's worldwide convention.
The community is a complex community where people with different clay and backgrounds live together. While people strive to understand each other, even the idea that “empathy” can sometimes feel strong – because even in a similar situation, feelings can be very different from man.
To date, computer-based sympathy has been working in the imagination that to show similar experiences can arouse the same feelings. However, the truth is more complex: the emotional response vary according to personal personality, previous experiences, and values.
“Emosync”, a lell-based agent, includes each difference. By carefully analyzing each user's qualities and emotional response patterns, the LLM produces analogical-specific evaluation conditions that allow people to understand the feelings of others through their lens.
For example, if a user is difficult to sympathize with suburbs or hidden discrimination, emissions analyzes the previous user experience and creates related communication, such as the peers during the school days. '
This method helps users understand the others' feelings clearly and honestly through the lens of a regular experiences.
The research team performed exams involving more than 100 participants at a separate level using this technology. Results showed that participants have used emosync showing progressive emotional and empathy developments compared to traditional ways.
This is scientifically demonstrating that customized experiences can truly encourage empathy.
Hyojin Ju, the first article in the study, said, “Our research shows that AI can facilitate real understanding and empathy between people,” and we will continue to develop an inventory Ai technology in real conditions. “
“This study is an effective example of the generative
This study was conducted by Professor Insook Hwang Nephh.d. Readers Hyojin Ju, Jeygeun Lee, Seungwon Yang from the Popech Science Department of Police and Engineering, in partnership with Professor Jungseoul Ok.
Support: The project was supported by the National Research Foundation of Korea (NRF) Mid-Career Publie Celecger Sponsored by the Korean Government (Msit), and University Icture Center Project from the Korean government (MSIT).
In connection with this AI and Espathy Research News
The author: Janyoung huh
Source: Postech
Contact: Jiloung huh – poster
Image: This picture is placed in neuroscience matters
Real Survey: The findings will be presented at ACM Chi 2025
