We propose augmenting the empathetic capacities of social robots by integrating non-verbal cues. Our primary contribution is design and labeling four types cues, abbreviated as SAFE: Speech, Action (gesture), Facial expression, Emotion, in a robot. These cues are generated using Large Language Model (LLM). developed an LLM-based conversational system for robot assessed its alignment with defined human counselors. Preliminary results show distinct patterns robot's responses, such preference...

<i>Objective:</i> Parietal lobe epilepsy (PLE) is neither common nor easily diagnosed because of its variable clinical features. To elucidate characteristics and surgical outcome, the authors reviewed their experiences. <i>Methods:</i> Between September 1994 August 2001, 38 patients with PLE received treatment at Seoul National University Hospital. All underwent resection, mainly involving parietal lobe. <i>Results:</i> Preoperatively, over 60% cases were...

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 in response to posts describing common life experiences, such as workplace situations, parenting, relationships, and other anxiety- anger-eliciting situations. Across two studies (N=192, 202), showed human raters a variety of responses written by several (GPT4 Turbo, Llama2, Mistral), people rate how they...

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 self-regulation, where a one-time response falls short. This takes first step by engaging with cognitive reappraisals, strategy from psychology practitioners uses targetedly change negative appraisals an individual makes of the situation; such is known sit at root human...

This paper proposes a multiple stakeholder perspective model (MSPM) which predicts the future pedestrian trajectory observed from vehicle's point of view. For vehicle-pedestrian interaction, estimation pedestrian's intention is key factor. However, even if this interaction commonly initiated by both human (pedestrian) and agent (driver), current research focuses on developing neural network trained data driver's only. In paper, we suggest apply for prediction. The combines driver...

Loneliness level was shown to vary by age and gender. Considering the recent COVID-19 outbreak had more impact on susceptible groups’ mental health, this study scrutinized joint influence of gender loneliness during pandemic in South Korea. We utilized large, government-funded public data that contains self-reported measures emotion diaries collected from October 2020 March 2021 (N=4,017, 20-79, 76% female). Hierarchical regression, t-test, analysis variance examined effect as a continuous...

Terahertz (THz) hydration sensing continues to gain traction in the medical imaging community due its unparalleled sensitivity tissue water content. Rapid and accurate detection of fluid shifts following induction thermal skin burns as well remote corneal have been previously demonstrated vivo using reflective, pulsed THz imaging. The contrast capabilities this technology were recently confirmed a parallel 7 Tesla Magnetic Resonance (MR) study, which burn areas are associated with increases...

This study examined how sustainable fashion bag products attracted Korean consumers in their 20s and 30s. To explore the attributes, motivations, values related to consumption of these products, this used a means-end hierarchy theory approach that links personal gathered from 11 in-depth interviews. The results showed four types patterns within value map: (1) financial, (2) self-concept, (3) social, (4) environmental consciousness. Seven 14 consequences, five were identified models....

Autonomous vehicles (AVs) can prevent collisions by understanding pedestrian intention. We conducted a virtual reality experiment with 39 participants and measured crossing times (seconds) head orientation (yaw degrees). manipulated AV yielding behavior (no-yield, slow-yield, fast-yield) the size (small, medium, large). Using machine learning approach, we classified change of pedestrians time into 6 clusters patterns. Results indicate that was influenced as well AV. Participants fixated on...

This study has examined the 20`s and 30`s Korean who have a desire, `to be getting younger` how to relate what appearance management-behavior they follow. The methodology of this used both theoretical quantitative research for an empirical study. First, researched big stream Koreans` on articles based social cultural background past 30 years that defined various concepts age through previous research. Data was also collected via SMS five months (August December 2014) 96 participants in their...

We present a novel method, the Chain of Empathy (CoE) prompting, that utilizes insights from psychotherapy to induce Large Language Models (LLMs) reason about human emotional states. This method is inspired by various approaches including Cognitive Behavioral Therapy (CBT), Dialectical Behavior (DBT), Person Centered (PCT), and Reality (RT), each leading different patterns interpreting clients' mental LLMs without reasoning generated predominantly exploratory responses. However, when used...

We investigated the subjective experience of loneliness during COVID-19 by analyzing social media postings from March 2020 to January 2021. collected text data loneliness-related subgroups Reddit and sampled 12787 posts that were written in ten consecutive days each month. The results suggest when individuals express their loneliness, they show an internal focus attention on emotions, desires, cognitive appraisals rather than external situations or other people. Linguistic markers emotions...

As conversational agents become more human-like, people expect them to be engaging as well. However, developing that comprehend human desires and generate appropriate responses, continues a challenge. We, therefore, conducted an interdisciplinary study collected 2,300 open-domain dialogs with self-labeled psychological variables such empathy, connectedness, respect, friendliness. We found participants who talk coherently disclose self-relevant information in the first encounter were regarded...

Economic activity and social participation by women has recently increased; however, working mothers raising young children are under new stress due to the simultaneous combination of job parenting responsibilities. This resulted in problems career break low fertility. study investigates effect clinical art therapy on occupational mothers. We analyzed 34 full-time employment (over 8 hours a day) who have preschool (0-6 years old). They were divided into 17 subjects experimental group control...

As the mental health crisis deepens with prolonged COVID-19 pandemic, there is an increasing need for understanding individuals’ emotional experiences. We have built a large-scale Korean text corpus five self-labeled psychological ground-truths: empathy, loneliness, stress, personality, and emotions. collected 19,025 documents of daily experiences from 3,805 residents October to December 2020. 42,128 sentences different levels theory-of-mind. Each sentence was annotated by trained psychology...

Theory-of-mind (ToM), a human ability to infer the intentions and thoughts of others, is an essential part empathetic experiences. We provide here framework for using NLP models measure ToM expressed in written texts. For this purpose, we introduce ToM-Diary, crowdsourced 18,238 diaries with 74,014 Korean sentences annotated different levels. Each diary was levels by trained psychology students reviewed selected experts. The annotators first divided based on whether they mentioned other...

We present analysis of electromechanical effects associated with collective optical excitation electrons in plasmonic nanoparticles, emphasis on the enhanced transfer angular momentum and nonlinear hydrodynamics such as vortex pairs.

Building a natural language dataset requires caution since word semantics is vulnerable to subtle text change or the definition of annotated concept. Such tendency can be seen in generative tasks like question-answering and dialogue generation also that create categorization-based corpus, topic classification sentiment analysis. Open-domain conversations involve two more crowdworkers freely conversing about any topic, collecting such data particularly difficult for reasons: 1) should...