This is an online seminar. Registration is required.
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Date and Time: January 25th, 2:00 pm – 3:00 pm (JST)
Venue: Zoom webinar
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Professor Dongseon Kim, Department of Social Welfare, Woosong University in South Korea
Title: Long-distance voice recording and communication analysis between people with dementia and caregivers under the Person-centered care perspective: Towards to AI communication partner development for people with dementia
Dr. Mihoko Otake-Matsuura, Center for Advanced Intelligence Project (AIP), RIKEN
Title: Cognitive Behavioral Assistive Technology (CBAT) as AI for Super Aged Society
Dr. Seiki Tokunaga, Center for Advanced Intelligence Project (AIP), RIKEN
Title: Dialogue-Based System with Photo and Storytelling for Older Adults: Toward Daily Cognitive Training at Home
Closing remarks & networking
Abstract and Bio
Professor Dongseon Kim
Background Deteriorating communication ability of people with dementia is reported as a major cause of care burden. Caregivers’ avoidance or inappropriate communication with dementia people reinforce agitation, anxiety and social isolation of dementia people and worsen their psychological and behavioral symptoms (Paquay et al., 2007; Williams et al., 2009). Notwithstanding the importance of sympathetic and effective communication based on Person-centered care, a desirable communication model has not been established (Levy-Storms, 2008). Thus, it is demanded to collect and examine the communication between dementia people and their caregivers in the natural setting and be feedbacked to caregivers to enhance their communication attitude and skill. Purpose 1. Seek for the possibility of using IOT technology in the study of communication between dementia people and caregivers. 2. Evaluate the vocal communication by caregivers within the Person-Centered Care framework. Methodology 1. An
Arduino-based device was made to record and transmit the dialogue into the server. For human voice-sensor recording and real-time transmission was programmed with ftp type. 2. The small size of the devices were hung around the necks of two dementia people living in the nursing home with permission of their families. The informed consent of caregivers working in the nursing home were also acquired. Recording was done through 2~3 hours a day in the morning in the living room. The recording was prohibited in the private places of dementia people. The audio was transcribed into text scripts with help of Naver voice recognition program and manual transcription in part. Then, the text was quantitatively and qualitatively analyzed within the 5 principles of PCC theoretical frameworks: warmth, inclusion, attachment, identity, and occupation. Results 1. The device was manufactured for the purpose of data collection and transmission. 2, Data shows there was a great shortage of communication between two parties as caregivers in the nursing home rarely talked to dementia people. In the cases of talking to them, the theme was task-oriented and concerned only physical caring, feeding, bathing and diaper change. 3. By qualitative analysis under the Person-Centered Care framework, caregivers showed warmth, attachment, and recognition. However, some caregivers withheld the demand of dementia people, making fun of them and treating them with a patronizing attitude. There were other Personhood-depreciating communication patterns; intimidation, invalidation, and objectification. Discussion 1. Technological approaches are sometimes useful in the studies of understanding and analyzing the demands and needs of dementia people. Arduino-based network voice recorders are cheap and easy
to manufacture, which can be widely used for training caregivers. This study shows the possibility of cheap and easy technology to relieve the burden of caring and increase the quality of lives of dementia people. 2. This study reveals non-PCC communication in the nursing home which desperately needs improvement. Caregiver’s attitude and skills on communication with dementia people should be educated and coached based on Person-Centered care.
Dongseon Kim is a professor of the Department of Social Welfare, Woosong University in South Korea. She founded and runs the Person-Centered Care Practice Network, a group of researchers, field experts and workers in long-term care facilities. She worked as a journalist in Hankook-ilbo (a major daily newspaper company) and as a visiting researcher in IUJ (International University of Japan) via the fellowship program of Japan-Korea Culture Foundation. She authored a book titled ‘the older people I met in Yamato-machi’ and others mainly on the topics of ageing and long-term care. Her recent research theme is communication based on Person Centered Care. Currently, she is collecting voices of people with dementia to support AI based dialogue systems funded by National Research Foundation of Korea. She is a member of Korean chapter of ISG (International Society of Gerontechnology)
** Dr. Mihoko Otake-Matsuura**
AI nurturing or complementing human intelligence is becoming more important than ever. The goal of the Cognitive Behavioral Assistive Technology (CBAT), advocated by the author since 2017, is to develop technology assisting cognition and behavior of human with and without disabilities. For the first step, we focus on technology which promotes cognitive health for preventing cognitive decline and dementia among older adults by social activities, since a systematic review found that social activity intervention may help maintain cognitive function among healthy older adults (Kelly et al., 2017), there are no global recommendations for social activity interventions related to cognitive health because evidence of the impact of such intervention is limited (World Health Organization, 2019). One major reason was the lack of technology for generating quantitatively and qualitatively consistent social activities necessary for cognitive intervention. In order to realize cognitive intervention via social activities, we have been developing novel technologies which promote intensive conversations among older adults, and demonstrated their effects on older adults’ cognitive and brain functions. We have also been developing technologies to predict cognitive functions from different modalities of behavioral and/or physiological data, aiming to monitor cognitive functions in everyday life.
Mihoko Otake-Matsuura is currently a Team Leader of Cognitive Behavioral Assistive Technology Team, RIKEN Center for Advanced Intelligence Project, Japan. She is concurrently the Founding Director of the Fonobono Research Institute, Adjunct Professor of Tokyo University of Agriculture and Technology. She studied in Switzerland as a visiting scholar at ETH Zurich. She cooperatively started up Swiss-Japanese Network on Individualized Adaptive Technology and Aging. She is now a co-chair of CODATA WG for Creative Living and Aging through Cross-disciplinary Utilization of Data. Her research topics include modeling and simulation of cognitive function of humans and electroactive polymers and thier applications to design and control of intelligent systems and services. She received her B.E., M.E., and Ph.D. in Mechano-Informatics, respectively, all from the University of Tokyo. She has been an Associate Professor of the University of Tokyo and Chiba University before joining RIKEN. She received Field Innovation Award and Near Future Challenge Award from Japan Society for Artificial Intelligence, MEXT prize for Young Scientists, PRESTO Fellowship Award from the Japan Science and Technology Agency, Young Investigator Award from the Robotics Society of Japan.
Dr. Seiki Tokunaga
In a super-aged society, dementia is a severe problem in which older adults suffer from symptoms to maintain daily life.A wide variety of systems have been developed for older adults; however, to our knowledge, few of them encourage communication and aim to train cognitive functions at home. Additionally, home-based experimentation has become crucial in COVID-19 situations to keep participants safe and provide more chances for older adults living alone to communicate.In this presentation, we report on how to develop home-based experiments using a novel dialogue system (Tokunaga S, Tamura K, Otake-Matsuura M, 2021). We also present how to conduct a home-based experiment and its current result.
Tokunaga S, Tamura K, Otake-Matsuura M (2021) A Dialogue-Based System with Photo and Storytelling for Older Adults: Toward Daily Cognitive Training. Frontiers in Robotics and AI, 8: 644964. https://doi.org/10.3389/frobt.2021.644964
Seiki Tokunaga is currently a research scientist of Cognitive Behavioral Assistive Technology Team, RIKEN Center for Advanced Intelligence Project, Japan. He currently promotes a dialogue robot project for cognitive training for older adults. He received Ph.D. in Kobe University. He previously worked at IoT company which provided monitoring system for older adults. His research topic is gerontechnology and software engineering.
|Date||January 25, 2023 (Wed) 14:00 - 15:00|