Prototyping and Preliminary Evaluation of Mind Monitoring Service for Elderly People at Home

Miura, Chisaki; Maeda, Hidetaka; Saiki, Sachio; Nakamura, Masahide; Yasuda, Kosaku

doi:10.1145/3366030.3366127

Cited by 10 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We then develop questions that acquire the internal states for each of the three perspectives. In our previous study [ 84 ], we took questions from GDS-15 [ 85 ], PHQ-9 [ 86 ], GAD-7 [ 87 ], and GHQ60 [ 88 ], and implemented 42 questions over the three aspects in the proposed service. However, this approach failed.…”

Section: Methodsmentioning

confidence: 99%

Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot

Miura

Chen

Saiki

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

To assist personalized healthcare of elderly people, our interest is to develop a virtual caregiver system that retrieves the expression of mental and physical health states through human–computer interaction in the form of dialogue. The purpose of this paper is to implement and evaluate a virtual caregiver system using mobile chatbot. Unlike the conventional health monitoring approach, our key idea is to integrate a rule-based virtual caregiver system (called “Mind Monitoring” service) with the physical, mental, and social questionnaires into the mobile chat application. The elderly person receives one question from the mobile chatbot per day, and answers it by pushing the optional button or using a speech recognition technique. Furthermore, a novel method is implemented to quantify the answers, generate visual graphs, and send the corresponding summaries or advice to the specific elder. In the experimental evaluation, we applied it to eight elderly subjects and 19 younger subjects within 14 months. As main results, its effects were significantly improved by the proposed method, including the above 80% in the response rate, the accurate reflection of their real lives from the responses, and high usefulness of the feedback messages with software quality requirements and evaluation. We also conducted interviews with subjects for health analysis and improvement.

show abstract

Section: Methodsmentioning

confidence: 99%

Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot

Miura

Chen

Saiki

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…A literatura também apresenta estudos de chatbots para idosos com diferentes tipos de personalização. Em agentes onde o conteúdo personalizado são informações naárea da saúde [Sanders and Martin-Hammond 2019, Constantin et al 2019, Miura et al 2019, Balsa et al 2019.…”

Section: Trabalhos Relacionadosunclassified

Uso de Chatbots Personalizados para Monitoração do Desaprendizado e Esquecimento de Idosos

Pinto

García

2021

Anais Estendidos Do XVI Simpósio Brasileiro De Sistemas Colaborativos (SBSC Estendido 2021)

View full text Add to dashboard Cite

Com o envelhecimento da população mundial, problemas na área da saúde como o comprometimento cognitivo, precisam de atenção. Trabalhos relacionados ao tema mostram que os avanços na área de inteligência artiﬁcial, permite o uso de tecnologias, como os chatbots, para automatizar o diálogo e estimular as habilidades cognitivas dos usuários. Sendo assim, este artigo descreve um desenho de pesquisa para o uso de chatbots personalizados aplicados na monitoração do esquecimento e desaprendizado de idosos. Através da abordagem Design Science Research, foram apresentados os principais elementos e etapas para garantir a contribuição cientíﬁca e tecnológica do presente estudo.

show abstract

“…Yaghoubzadeh et al have proposed a dialogue system that is specialized for cognitively impaired users ( Yaghoubzadeh and Kopp, 2017 ). Miura et al (2019) have proposed and evaluated a chat-based application that encourages older adults to check both their health and mental status by themselves. The coimagination method (CM) is a kind of group conversation support method to maintain cognitive function in which listening and speaking are moderated by rules ( Otake et al, 2011 ; Otake-Matsuura, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

A Dialogue-Based System with Photo and Storytelling for Older Adults: Toward Daily Cognitive Training

2021

View full text Add to dashboard Cite

As the elderly population grows worldwide, living a healthy and full life as an older adult is becoming a topic of great interest. One key factor and severe challenge to maintaining quality of life in older adults is cognitive decline. Assistive robots for helping older adults have been proposed to solve issues such as social isolation and dependent living. Only a few studies have reported the positive effects of dialogue robots on cognitive function but conversation is being discussed as a promising intervention that includes various cognitive tasks. Existing dialogue robot-related studies have reported on placing dialogue robots in elderly homes and allowing them to interact with residents. However, it is difficult to reproduce these experiments since the participants’ characteristics influence experimental conditions, especially at home. Besides, most dialogue systems are not designed to set experimental conditions without on-site support. This study proposes a novel design method that uses a dialogue-based robot system for cognitive training at home. We define challenges and requirements to meet them to realize cognitive function training through daily communication. Those requirements are designed to satisfy detailed conditions such as duration of dialogue, frequency, and starting time without on-site support. Our system displays photos and gives original stories to provide contexts for dialogue that help the robot maintain a conversation for each story. Then the system schedules dialogue sessions along with the participant’s plan. The robot moderates the user to ask a question and then responds to the question by changing its facial expression. This question-answering procedure continued for a specific duration (4 min). To verify our design method’s effectiveness and implementation, we conducted three user studies by recruiting 35 elderly participants. We performed prototype-, laboratory-, and home-based experiments. Through these experiments, we evaluated current datasets, user experience, and feasibility for home use. We report on and discuss the older adults’ attitudes toward the robot and the number of turns during dialogues. We also classify the types of utterances and identify user needs. Herein, we outline the findings of this study, outlining the system’s essential characteristics to experiment toward daily cognitive training and explain further feature requests.

show abstract

Prototyping and Preliminary Evaluation of Mind Monitoring Service for Elderly People at Home

Cited by 10 publications

References 2 publications

Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot

Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot

Uso de Chatbots Personalizados para Monitoração do Desaprendizado e Esquecimento de Idosos

A Dialogue-Based System with Photo and Storytelling for Older Adults: Toward Daily Cognitive Training

Contact Info

Product

Resources

About