Conversational Agents for Dementia using Large Language Models

被引:0
|
作者
Favela, Jesus [1 ]
Cruz-Sandoval, Dagoberto [2 ]
Parra, Mario O. [1 ]
机构
[1] CICESE, Comp Sci Dept, Ensenada, Baja California, Mexico
[2] Univ Calif San Diego, Healthcare Robot Lab, San Diego, CA 92103 USA
来源
2023 MEXICAN INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE, ENC | 2024年
关键词
Social Robots; Large Language Models; Dementia; ChatGPT; Conversational agents; ROBOT;
D O I
10.1109/ENC60556.2023.10508610
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Conversational robots are a type of social robot that emphasize verbal communication. One of their main application areas centers on assisting people with dementia and their caregivers, particularly in dealing with problematic behaviors. Recent advances in Large Language Models (LLMs) have increased their potential in developing conversational assistive agents. In this paper, we explore the use of a LLM (ChatGPT) to conduct cognitive stimulation therapies with people with dementia. We compare a conversational robot which includes personalized hand-coded conversational strategies with one using an LLM and prompt engineering. We conclude that the use of LLMs produces engaging conversations and has the potential to facilitate caregiver customization of social robots for dementia.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Building Conversational Agents for Stroke Rehabilitation: An Evaluation of Large Language Models and Retrieval Augmented Generation
    Retevoi, Alexandra
    Devittori, Giada
    Kowatsch, Tobias
    Lambercy, Olivier
    PROCEEDINGS OF THE 24TH ACM INTERNATIONAL CONFERENCE ON INTELLIGENT VIRTUAL AGENTS, IVA 2024, 2024,
  • [2] Enabling Conversational Interaction with Mobile UI using Large Language Models
    Wang, Bryan
    Li, Gang
    Li, Yang
    PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2023, 2023,
  • [3] Towards Automatic Evaluation of NLG Tasks Using Conversational Large Language Models
    Riyadh, Md
    Shafiq, M. Omair
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2023, PT II, 2023, 676 : 425 - 437
  • [4] Rewriting Conversational Utterances with Instructed Large Language Models
    Galimzhanova, Elnara
    Muntean, Cristina Ioana
    Nardini, Franco Maria
    Perego, Raffaele
    Rocchietti, Guido
    2023 IEEE INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT, 2023, : 56 - 63
  • [5] Extracting Implicit User Preferences in Conversational Recommender Systems Using Large Language Models
    Kim, Woo-Seok
    Lim, Seongho
    Kim, Gun-Woo
    Choi, Sang-Min
    MATHEMATICS, 2025, 13 (02)
  • [6] Visistant: A Conversational Chatbot for Natural Language to Visualizations With Gemini Large Language Models
    Muthumanikandan, V.
    Ram, Santhosh
    IEEE ACCESS, 2024, 12 : 138547 - 138563
  • [7] Operating Conversational Large Language Models (LLMs)in the Presenceof Errors
    Gao, Zhen
    Deng, Jie
    Reviriego, Pedro
    Liu, Shanshan
    Pozo, Alejando
    Lombardi, Fabrizio
    IEEE NANOTECHNOLOGY MAGAZINE, 2025, 19 (01) : 31 - 37
  • [8] MOSS: An Open Conversational Large Language Model
    Sun, Tianxiang
    Zhang, Xiaotian
    He, Zhengfu
    Li, Peng
    Cheng, Qinyuan
    Liu, Xiangyang
    Yan, Hang
    Shao, Yunfan
    Tang, Qiong
    Zhang, Shiduo
    Zhao, Xingjian
    Chen, Ke
    Zheng, Yining
    Zhou, Zhejian
    Li, Ruixiao
    Zhan, Jun
    Zhou, Yunhua
    Li, Linyang
    Yang, Xiaogui
    Wu, Lingling
    Yin, Zhangyue
    Huang, Xuanjing
    Jiang, Yu-Gang
    Qiu, Xipeng
    MACHINE INTELLIGENCE RESEARCH, 2024, 21 (05) : 888 - 905
  • [9] Personality Perceptions of Conversational Agents: A Task-Based Analysis Using Thai as the Conversational Language
    Soonpipatskul, Nattida
    Pal, Debajyoti
    Watanapa, Bunthit
    Charoenkitkarn, Nipon
    IEEE ACCESS, 2023, 11 : 94545 - 94562
  • [10] Using Large Language Models in Business Processes
    Grisold, Thomas
    vom Brocke, Jan
    Kratsch, Wolfgang
    Mendling, Jan
    Vidgof, Maxim
    BUSINESS PROCESS MANAGEMENT, BPM 2023, 2023, 14159 : XXIX - XXXI