About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings

Research Article

eDEM-CONNECT: An Ontology-Based Chatbot for Family Caregivers of People with Dementia

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-60665-6_6,
        author={Maurice Boiting and Niklas Tschorn and Sumaiya Suravee and Kristina Yordanova and Margareta Halek and Franziska A. Jagoda and Stefan L\'{y}dtke and Anja Burmann},
        title={eDEM-CONNECT: An Ontology-Based Chatbot for Family Caregivers of People with Dementia},
        proceedings={Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2024},
        month={6},
        keywords={chatbot ontology home care natural language processing transformer models Markov logic network},
        doi={10.1007/978-3-031-60665-6_6}
    }
    
  • Maurice Boiting
    Niklas Tschorn
    Sumaiya Suravee
    Kristina Yordanova
    Margareta Halek
    Franziska A. Jagoda
    Stefan Lüdtke
    Anja Burmann
    Year: 2024
    eDEM-CONNECT: An Ontology-Based Chatbot for Family Caregivers of People with Dementia
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-031-60665-6_6
Maurice Boiting1,*, Niklas Tschorn1, Sumaiya Suravee2, Kristina Yordanova2, Margareta Halek3, Franziska A. Jagoda3, Stefan Lüdtke4, Anja Burmann1
  • 1: Fraunhofer Institute for Software and Systems Engineering ISST
  • 2: Institute for Data Science, Universität Greifswald
  • 3: School of Nursing Science, Faculty of Health, Universiät Witten/Herdecke
  • 4: Institute for Visual and Analytic Computing, Universät Rostock
*Contact email: maurice.boiting@isst.fraunhofer.de

Abstract

Home care of people with dementia (PwD) is mainly organized and carried out by non-professional family caregivers, who struggle to interpret the needs of PwD correctly and are confronted with the challenging behavior of their relatives. Although support services for family caregivers are widespread in Germany, they are rarely used due to the fact that information is poorly organized and relatives are faced with a flood of disorganized, outdated, and confusing content. Due to the technical development of chatbot technologies (ChatGPT), chatbots gain more and more relevance. Based on the new technological possibilities, we developed an online communication and service platform with an integrated chatbot within theeDEM-CONNECTproject, with the aim of making structured and easily understandable information accessible for family caregivers. This work focuses on the development of a chatbot pipeline that has broad domain knowledge through a provided ontology on the topic of agitation of PwD. This allows the chatbot to provide relevant and peer-reviewed information to family members. In our approach, a patient history is first taken based on several diagnostic questions so that relevant information can be output in a later step. For this purpose, we demonstrate that agitations in natural language can be correctly recognized by the usedBERT modeland that our developed chatbot is able to select further diagnostic questions based on the predictions of aMarkov logic network.

Keywords
chatbot ontology home care natural language processing transformer models Markov logic network
Published
2024-06-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-60665-6_6
Copyright © 2023–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL