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Rule-Based Inquiry Service to Elderly at Home for Efficient Mind Sensing

Authors:

Haruhisa Maeda,

Sachio Saiki,

Masahide Nakamura,

Kiyoshi YasudaAuthors Info & Claims

iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services

Pages 664 - 668

https://doi.org/10.1145/3366030.3366114

Published: 22 February 2020 Publication History

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Abstract

To support in-home long-term care, we are studying techniques of Mind Sensing, which externalizes internal states of elderly people as words through conversations with agents or robots. We have previously developed a prototype system of Mind Sensing, integrated with an activity recognition system and an LINE chatbot. However, the system was tightly coupled with the fixed systems, it was difficult to add or change the setting of questions from the chatbot to individual elderly people.

In this paper, we propose the Mind Sensing Service, which allows a service operator to define and manage the questions flexibly, and to automate the delivery of the questions and the collection of the answers. The proposed service consist of two elements: actions and rules. An action defines the contents of specific questions such as what message is sent to which elderly people. A rule defines the conditions on when, where, and by what event, in order to execute the action. The proposed service makes it possible to implement more systematic and flexible Mind Sensing.

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Miura CChen SSaiki SNakamura MYasuda K(2022)Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile ChatbotSensors10.3390/s2210382922:10(3829)Online publication date: 18-May-2022
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Chen SNakamura M(2022)Study of Multi-Modal Diary Service Using Spoken Dialogue Agent for Self-Care in Elderly People2022 1st International Conference on Software Engineering and Information Technology (ICoSEIT)10.1109/ICoSEIT55604.2022.10029995(120-125)Online publication date: 22-Nov-2022
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Rule-Based Inquiry Service to Elderly at Home for Efficient Mind Sensing

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iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services

December 2019

709 pages

ISBN:9781450371797

DOI:10.1145/3366030

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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JKU: Johannes Kepler Universität Linz
@WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 February 2020

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iiWAS2019: The 21st International Conference on Information Integration and Web-based Applications & Services

December 2 - 4, 2019

Munich, Germany

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https://doi.org/10.3390/s22103829
Chen SNakamura M(2022)Study of Multi-Modal Diary Service Using Spoken Dialogue Agent for Self-Care in Elderly People2022 1st International Conference on Software Engineering and Information Technology (ICoSEIT)10.1109/ICoSEIT55604.2022.10029995(120-125)Online publication date: 22-Nov-2022
https://doi.org/10.1109/ICoSEIT55604.2022.10029995
Prajugjit NSilapasuphakornwong PSookhanaphibarn KUehira K(2022)Friendly Chatbot with IBM Watson Assistant Support Elderly Delightful in Smart Mirror2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)10.1109/GCCE56475.2022.10014288(332-334)Online publication date: 18-Oct-2022
https://doi.org/10.1109/GCCE56475.2022.10014288
Chen SOzono HNakamura M(2022)Integration Analysis of Heterogeneous Data on Mind Externalization of Elderly People at HomeHuman Aspects of IT for the Aged Population. Technology in Everyday Living10.1007/978-3-031-05654-3_13(197-209)Online publication date: 24-May-2022
https://doi.org/10.1007/978-3-031-05654-3_13
Chen SNakamura MSaiki S(2021)Developing a Platform of Personalized Conversation Scenarios for In-home Care Assistance2021 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)10.1109/IAICT52856.2021.9532540(148-153)Online publication date: 27-Jul-2021
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Miura CSaiki SNakamura MYasuda K(2020)Implementing and Evaluating feedback feature of Mind Monitoring Service for Elderly People at HomeProceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services10.1145/3428757.3429124(390-395)Online publication date: 30-Nov-2020
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Elderly daily activity habits or lifestyle in their natural environments

Integration Analysis of Heterogeneous Data on Mind Externalization of Elderly People at Home

An ambient assisted living nighttime wandering system for elderly

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