Version 1
: Received: 25 October 2023 / Approved: 25 October 2023 / Online: 25 October 2023 (13:42:27 CEST)
How to cite:
Yun, J.; Lee, J.; Yun, Y.; Yoon, S.; Park, S.; Yun, S. A Chatbot that Learns One’s Preferences as the Next Step in Human Digital Twins: A Pilot Study using HyperCLOVA X, a Large Language Model. Preprints2023, 2023101647. https://doi.org/10.20944/preprints202310.1647.v1
Yun, J.; Lee, J.; Yun, Y.; Yoon, S.; Park, S.; Yun, S. A Chatbot that Learns One’s Preferences as the Next Step in Human Digital Twins: A Pilot Study using HyperCLOVA X, a Large Language Model. Preprints 2023, 2023101647. https://doi.org/10.20944/preprints202310.1647.v1
Yun, J.; Lee, J.; Yun, Y.; Yoon, S.; Park, S.; Yun, S. A Chatbot that Learns One’s Preferences as the Next Step in Human Digital Twins: A Pilot Study using HyperCLOVA X, a Large Language Model. Preprints2023, 2023101647. https://doi.org/10.20944/preprints202310.1647.v1
APA Style
Yun, J., Lee, J., Yun, Y., Yoon, S., Park, S., & Yun, S. (2023). A Chatbot that Learns One’s Preferences as the Next Step in Human Digital Twins: A Pilot Study using HyperCLOVA X, a Large Language Model. Preprints. https://doi.org/10.20944/preprints202310.1647.v1
Chicago/Turabian Style
Yun, J., Sang-Hoon Park and Sijung Yun. 2023 "A Chatbot that Learns One’s Preferences as the Next Step in Human Digital Twins: A Pilot Study using HyperCLOVA X, a Large Language Model" Preprints. https://doi.org/10.20944/preprints202310.1647.v1
Abstract
A digital twin is a virtual representation that serves as the real-time digital counterpart of a physical object or system. Recent advancements have extended the concept of digital twins to humans, incorporating complex biological data such as DNA (Predictiv Care, Inc.) and immune system profiles. These sophisticated models go beyond mere pictorial representations, offering a more holistic digital reflection. However, a significant gap remains. The current human digital twin models are not capable of learning one’s preferences. In this pilot study, we introduce Diginality, a chatbot powered by HyperCLOVA X, a Large Language Model (LLM) developed by NAVER, Inc. Diginality, learns one’s preferences with custom training from data collected by interview-style questions on the user’s topic of interest. Our findings demonstrate that Diginality successfully answers one’s preferences, thereby adding a new dimension to the concept of human digital twins. This work represents a pioneering step towards creating a more comprehensive and psychologically nuanced human digital twin.
Keywords
AI; HyperCLOVA X; Personality; Digital Twin; Large Language Model; Transformer
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
