Building a hospitable and reliable dialogue system for android robots: a scenario-based approach with large language models
Author:
Affiliation:
1. LINE Corporation, Tokyo, Japan
2. Tokyo Institute of Technology, Tokyo, Japan
Publisher
Informa UK Limited
Subject
Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/01691864.2023.2244554
Reference22 articles.
1. Agarwal S Bui T Lee JY et al. History for visual dialog: do we really need it? In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics; 2020. p. 8182–8197.
2. Kottur S Moon S Geramifard A et al. SIMMC 2.0: A task-oriented dialog dataset for immersive multimodal conversations. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing; 2021. p. 4903–4912.
3. Inoue K Milhorat P Lala D et al. Talking with ERICA an autonomous android. In: Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue; 2016. p. 212–215.
4. Can a robot laugh with you?: Shared laughter generation for empathetic spoken dialogue
5. Toward Humanlike Task-Based Dialogue Processing for Human Robot Interaction
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Unraveling the thread: understanding and addressing sequential failures in human-robot interaction;Frontiers in Robotics and AI;2024-09-12
2. A survey on integration of large language models with intelligent robots;Intelligent Service Robotics;2024-08-13
3. A Recommendation System for Prosumers Based on Large Language Models;Sensors;2024-05-30
4. Recommendations for designing conversational companion robots with older adults through foundation models;Frontiers in Robotics and AI;2024-05-27
5. Grounding Conversational Robots on Vision Through Dense Captioning and Large Language Models;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3