Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Lee Yoon-Kyung"'
Large language models (LLMs) have offered new opportunities for emotional support, and recent work has shown that they can produce empathic responses to people in distress. However, long-term mental well-being requires emotional self-regulation, wher
Externí odkaz:
http://arxiv.org/abs/2404.01288
Autor:
Bae, Seoyeon, Lee, Yoon Kyung, Lee, Jungcheol, Kim, Jaeheon, Jeon, Haeseong, Lim, Seung-Hwan, Kim, Byung-Cheol, Hahn, Sowon
A growth mindset has shown promising outcomes for increasing empathy ability. However, stimulating a growth mindset in VR-based empathy interventions is under-explored. In the present study, we implemented prosocial VR content, Our Neighbor Hero, foc
Externí odkaz:
http://arxiv.org/abs/2404.00300
Large Language Models (LLMs) have demonstrated surprising performance on many tasks, including writing supportive messages that display empathy. Here, we had these models generate empathic messages in response to posts describing common life experien
Externí odkaz:
http://arxiv.org/abs/2403.18148
Publikováno v:
Korean Journal of Cognitive Science. 2024, Vol. 35 Issue 1, p23-48. 26p
We present a novel method, the Chain of Empathy (CoE) prompting, that utilizes insights from psychotherapy to induce Large Language Models (LLMs) to reason about human emotional states. This method is inspired by various psychotherapy approaches incl
Externí odkaz:
http://arxiv.org/abs/2311.04915
Publikováno v:
In Proceedings of 2023 IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)
We propose augmenting the empathetic capacities of social robots by integrating non-verbal cues. Our primary contribution is the design and labeling of four types of empathetic non-verbal cues, abbreviated as SAFE: Speech, Action (gesture), Facial ex
Externí odkaz:
http://arxiv.org/abs/2308.16529
We investigated the potential and limitations of generative artificial intelligence (AI) in reflecting the authors' cognitive processes through creative expression. The focus is on the AI-generated artwork's ability to understand human intent (alignm
Externí odkaz:
http://arxiv.org/abs/2304.13324
Autor:
Cho, Won Ik, Lee, Yoon Kyung, Bae, Seoyeon, Kim, Jihwan, Park, Sangah, Kim, Moosung, Hahn, Sowon, Kim, Nam Soo
Building a natural language dataset requires caution since word semantics is vulnerable to subtle text change or the definition of the annotated concept. Such a tendency can be seen in generative tasks like question-answering and dialogue generation
Externí odkaz:
http://arxiv.org/abs/2304.00350
Autor:
Seo Bo-myung, Lee Yoon-kyung, Choi Sung-hoon, Kim Kyung-woon, Yoon Jong-seok, Lim Seong-chul, Jung Tae-young, Han Sang-won, Seo Jung-chul
Publikováno v:
Journal of Pharmacopuncture, Vol 8, Iss 2, Pp 5-10 (2005)
Objective : This study was designed to estimate the effects of BU herbal acupuncture theraphy on low back pain of sprain patients by using Visual Analogue Scale(VAS) and pressure algometer. Methods : 13 volunteers were applied to BU herbal acupunctu
Externí odkaz:
https://doaj.org/article/c44c506f8f0541f593e3e29589cff5d5
Publikováno v:
Journal of Pharmacopuncture, Vol 8, Iss 2, Pp 91-95 (2005)
Objective : The purpose of this study is to report the patient with radial nerve palsy, who improved by Scolopendrae Corpus Herbal-Acupuncture and other Oriental medical treatments. Methods : The patient was managed by Scolopendrae Corpus Herbal-Acu
Externí odkaz:
https://doaj.org/article/e2ab7acf664345629e135edf29aa8543
Theory-of-mind (ToM), a human ability to infer the intentions and thoughts of others, is an essential part of empathetic experiences. We provide here the framework for using NLP models to measure ToM expressed in written texts. For this purpose, we i
Externí odkaz:
http://arxiv.org/abs/2108.11810