Empathy Through Multimodality in Conversational Interfaces

M Abbasian, I Azimi, M Feli, AM Rahmani… - arXiv preprint arXiv …, 2024 - arxiv.org
Agents represent one of the most emerging applications of Large Language Models (LLMs)
and Generative AI, with their effectiveness hinging on multimodal capabilities to navigate …

Understanding the benefits and challenges of deploying conversational AI leveraging large language models for public health intervention

E Jo, DA Epstein, H Jung, YH Kim - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Recent large language models (LLMs) have advanced the quality of open-ended
conversations with chatbots. Although LLM-driven chatbots have the potential to support …

Harnessing Large Language Models' Empathetic Response Generation Capabilities for Online Mental Health Counselling Support

SB Loh, AS Raamkumar - arXiv preprint arXiv:2310.08017, 2023 - arxiv.org
Large Language Models (LLMs) have demonstrated remarkable performance across
various information-seeking and reasoning tasks. These computational systems drive state …

Acknowledgment of Emotional States: Generating Validating Responses for Empathetic Dialogue

ZH Pang, Y Fu, D Lala, K Ochi, K Inoue… - arXiv preprint arXiv …, 2024 - arxiv.org
In the realm of human-AI dialogue, the facilitation of empathetic responses is important.
Validation is one of the key communication techniques in psychology, which entails …

Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI

M Abbasian, E Khatibi, I Azimi, D Oniani… - arXiv preprint arXiv …, 2023 - arxiv.org
Generative Artificial Intelligence is set to revolutionize healthcare delivery by transforming
traditional patient care into a more personalized, efficient, and proactive process. Chatbots …

Building emotional support chatbots in the era of llms

Z Zheng, L Liao, Y Deng, L Nie - arXiv preprint arXiv:2308.11584, 2023 - arxiv.org
The integration of emotional support into various conversational scenarios presents
profound societal benefits, such as social interactions, mental health counseling, and …

M-Path: A conversational system for the empathic virtual agent

ÖN Yalçın, S DiPaola - … Cognitive Architectures 2019: Proceedings of the …, 2020 - Springer
M-Path is an embodied conversational agent developed to achieve natural interaction using
empathic behaviors. This paper is aimed to describe the details of the conversational …

ADVISER: A toolkit for developing multi-modal, multi-domain and socially-engaged conversational agents

CY Li, D Ortega, D Väth, F Lux, L Vanderlyn… - arXiv preprint arXiv …, 2020 - arxiv.org
We present ADVISER-an open-source, multi-domain dialog system toolkit that enables the
development of multi-modal (incorporating speech, text and vision), socially-engaged (eg …

[PDF][PDF] Athena 3.0: Personalized Multimodal ChatBot with Neuro-Symbolic Dialogue Generators

Y Fan, KK Bowden, W Cui, W Chen… - Alexa Prize SocialBot … - assets.amazon.science
The burgeoning prominence of conversational agents is evident, given the significant
number of people interacting with them on a daily basis. The utility of these agents isn't …

[PDF][PDF] Generative Empathetic Data-Driven Conversational Agents for Mental Healthcare

L Sbattella - 2023 - researchgate.net
Generative Empathetic Data-Driven Conversational Agents for Mental Healthcare Page 1
POLITECNICO DI MILANO DEPARTMENT OF ELECTRONICS, INFORMATION AND …