Embodied Conversational Agents: Deep Learning Based Multimodal Sentiment Analysis-Reference-Cited by-同舟云学术

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Embodied Conversational Agents: Deep Learning Based Multimodal Sentiment Analysis

Published:2024-05-24 Issue: Volume: Page:559-563
ISSN:
Container-title:Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things
language:
Short-container-title:

Author:

Nosov Andrei¹^ORCID,Shtekhin Sergei²^ORCID,Lyubchenko Alexander³^ORCID

Affiliation:

1. LLC “OCRV”, Russian Railways affiliated company, Russian Federation and Tampere University, Finland

2. LLC “OCRV”, Russian Railways affiliated company, Russia

3. LLC “OCRV”, Russian Railways affiliated company, Russia and Omsk State Technical University (OmSTU), Russian Federation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3670105.3670203

Reference17 articles.

1. Ana Paula Chaves and Marco Aurelio Gerosa 2021 . How should my chatbot interact? a survey on social characteristics in human–chatbot interaction design. International Journal of Human–Computer Interaction 37(8) 729–758. https://arxiv.org/pdf/1904.02743.pdf

2. On the Design of and Interaction with Conversational Agents: An Organizing and Assessing Review of Human-Computer Interaction Research

3. Edona Elshan Naim Zierau Christian Engel Andreas Janson & Jan Marco Leimeister 2022. Understanding the design elements affecting user acceptance of intelligent agents: past present and future. Information Systems Frontiers. https://doi.org/10.1007/s10796-021-10230-9.

4. Reddit: A Gold Mine for Personality Prediction

5. An alternative "description of personality": The Big-Five factor structure.

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