[图书][B] Dialogue management and turn-taking automation in a speech-based conversational agent

SZ Razavi - 2021 - search.proquest.com
Developing dialogue systems that can handle social conversation over a broad range of
domains and topics has been a long-standing goal of artificial intelligence (AI). Such …

[PDF][PDF] The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals with Depression: A Critical …

A Ferrario, J Sedlakova, M Trachsel - researchgate.net
Large language model (LLM)-powered services are gaining popularity in various
applications due to their exceptional performance in many tasks, such as sentiment analysis …

The Adaptive Affective Loop: How AI Agents Can Generate Empathetic Systemic Experiences

S Colombo, L Rampino, F Zambrelli - … : Proceedings of the 2021 Future of …, 2021 - Springer
Affect and emotions play a crucial role in any human experience. However, these
components are often overlooked in the design of user experiences with virtual AI agents. In …

AMuSE: Adaptive Multimodal Analysis for Speaker Emotion Recognition in Group Conversations

NK Devulapally, S Anand, SD Bhattacharjee… - arXiv preprint arXiv …, 2024 - arxiv.org
Analyzing individual emotions during group conversation is crucial in developing intelligent
agents capable of natural human-machine interaction. While reliable emotion recognition …

Beyond Words: An Intelligent Human‐Machine Dialogue System with Multimodal Generation and Emotional Comprehension

Y Zhao, B Cheng, Y Huang… - International Journal of …, 2023 - Wiley Online Library
Intelligent service robots have become an indispensable aspect of modern‐day society,
playing a crucial role in various domains ranging from healthcare to hospitality. Among …

[PDF][PDF] ISABEL: An Inclusive and Collaborative Task-Oriented Dialogue System

A Sicilia, Y Asano, K Atwell, Q Cheng… - Alexa Prize …, 2023 - assets.amazon.science
In the rapidly evolving landscape of multimodal interactive technologies, a critical gap
persists in their utility and reach across diverse user populations. These technologies, while …

Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems

S Kumar, S Bhatia, M Aggarwal… - arXiv preprint arXiv …, 2023 - arxiv.org
Sharing ideas through communication with peers is the primary mode of human interaction.
Consequently, extensive research has been conducted in the area of conversational AI …

A novel conversational hierarchical attention network for speech emotion recognition in dyadic conversation

M Tellai, L Gao, Q Mao, M Abdelaziz - Multimedia Tools and Applications, 2024 - Springer
Speech is one of the most fundamental mediums for human-to-human interaction, thereby
playing a pivotal role in shaping the landscape of next-generation human-computer …

Towards facilitating empathic conversations in online mental health support: A reinforcement learning approach

A Sharma, IW Lin, AS Miner, DC Atkins… - Proceedings of the Web …, 2021 - dl.acm.org
Online peer-to-peer support platforms enable conversations between millions of people who
seek and provide mental health support. If successful, web-based mental health …

Use of affect context in dyadic interactions for continuous emotion recognition

SN Fatima, E Erzin - Speech Communication, 2021 - Elsevier
Emotional dependencies play a crucial role in understanding complexities of dyadic
interactions. Recent studies have shown that affect recognition tasks can benefit by the …