首页|University of California Irvine Reports Findings in Dementia (Establishing the F oundations of Emotional Intelligence in Care Companion Robots to Mitigate Agitat ion Among High-Risk Patients With Dementia: Protocol for an Empathetic Patient-R obot ...)
University of California Irvine Reports Findings in Dementia (Establishing the F oundations of Emotional Intelligence in Care Companion Robots to Mitigate Agitat ion Among High-Risk Patients With Dementia: Protocol for an Empathetic Patient-R obot ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Neurodegenerative Dise ases and Conditions - Dementia is the subject of a report. According to news rep orting originating from Irvine, California, by NewsRx correspondents, research s tated, “An estimated 6.7 million persons are living with dementia in the United States, a number expected to double by 2060. Persons experiencing moderate to se vere dementia are 4 to 5 times more likely to fall than those without dementia, due to agitation and unsteady gait.” Our news editors obtained a quote from the research from the University of Calif ornia Irvine, “Socially assistive robots fail to address the changing emotional states associated with agitation, and it is unclear how emotional states change, how they impact agitation and gait over time, and how social robots can best re spond by showing empathy. This study aims to design and validate a foundational model of emotional intelligence for empathetic patient-robot interaction that mi tigates agitation among those at the highest risk: persons experiencing moderate to severe dementia. A design science approach will be adopted to (1) collect an d store granular, personal, and chronological data using Personicle (an open-sou rce software platform developed to automatically collect data from phones and ot her devices), incorporating real-time visual, audio, and physiological sensing t echnologies in a simulation laboratory and at board and care facilities; (2) dev elop statistical models to understand and forecast the emotional state, agitatio n level, and gait pattern of persons experiencing moderate to severe dementia in real time using machine learning and artificial intelligence and Personicle; (3 ) design and test an empathy-focused conversation model, focused on storytelling ; and (4) test and evaluate this model for a care companion robot (CCR) in the c ommunity. The study was funded in October 2023. For aim 1, architecture developm ent for Personicle data collection began with a search for existing open-source data in January 2024. A community advisory board was formed and met in December 2023 to provide feedback on the use of CCRs and provide personal stories. Full i nstitutional review board approval was received in March 2024 to place cameras a nd CCRs at the sites. In March 2024, atomic marker development was begun. For ai m 2, after a review of opensource data on patients with dementia, the developme nt of an emotional classifier was begun. Data labeling was started in April 2024 and completed in June 2024 with ongoing validation. Moreover, the team establis hed a baseline multimodal model trained and validated on healthy-person data set s, using transformer architecture in a semisupervised manner, and later retraine d on the labeled data set of patients experiencing moderate to severe dementia. In April 2024, empathy alignment of large language models was initiated using pr ompt engineering and reinforcement learning. This innovative caregiving approach is designed to recognize the signs of agitation and, upon recognition, interven e with empathetic verbal communication.”
IrvineCaliforniaUnited StatesNorth and Central AmericaBrain Diseases and ConditionsCentral Nervous System Dise ases and ConditionsDementiaEmerging TechnologiesHealth and MedicineMachi ne LearningMental HealthNano-robotNeurodegenerative Diseases and Condition sRobotRobotics
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