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AI care robot 'Hyodol' introduces customized care technology for the elderly through joint research with Kookmin University

 

 

 

 

 

 

Employees of Hyodol, an artificial intelligence (AI) elderly care robot company that won the GLOMO Award, and a research team from the Customer Experience Lab at Kookmin University's Graduate School of Business and IT. Photo: Kookmin University

 

 

 

 

Korean robotics company Hyodol won the Global Mobile Awards 2024 (GLOMO) in the Best Mobile Innovation for Connected Health and Wellbeing category at MWC 2024 in Barcelona, Spain, in February.

 

 


'Parent Love Hyodol' is an elderly care robot equipped with AI and various sensors. It monitors the user's health status and emergencies, interacts with the elderly through conversation, and provides lifestyle management and health coaching. The version equipped with a conversation engine based on ChatGPT, a generative artificial intelligence, supports interactive dialog functions that accurately understand the intent of the user's words and generate appropriate responses in real time.

 

 


The GLOMO Awards are the ICT and mobile industry awards organized by the GSMA. At MWC 2024, Hyodol introduced 'Parental Love Hyodol' and two original technologies for customized care for the elderly developed through joint research with the Customer Experience Lab at Kookmin University's Graduate School of Business and IT.

 

 


The patent applied for in Korea for 'Method and apparatus for recommending content by segmenting users based on user data' is a technology that classifies users into nine types and recommends personalized content based on their living habits and initial log data of robot use. By precisely classifying users based on data and providing customized scenarios, it is possible to reduce depression and improve life management for the elderly.

 

 


The domestically registered patent for 'Method and apparatus for performing user typing based on user voice data' is a technology that analyzes voice conversation data between the elderly and their in-laws to classify user types and capture the conversation topics and issues of the elderly from a large amount of conversation data. Based on this, it identifies the user's personality, mood changes, interests, and problems, and helps care workers respond immediately.

 

 


"Advances in AI technology are enabling natural conversations and interactions between users and robots, and the amount of user data obtained in this process has increased dramatically," said Do-hyung Park, professor at Kookmin University's Graduate School of Business and IT. "Insights into customer needs from vast amounts of big data will become an important competitive advantage for companies."

 

 


Meanwhile, researchers from Kookmin University's Graduate School of Business and IT have participated in the BK21 Education Research Team in Phase 4, the Basic Research Project for Basic Research in Science and Technology of the National Research Foundation of Korea, and the Korea International Cooperation Agency (KOICA)'s Job-Linked Business IT Education Capacity Building Project at Tashkent University of Information and Communication in Uzbekistan, and have made educational and research achievements in the fields of social robot user behavior theory, statistics and AI-based social robot user analysis.

 

 

 

 


 

 

 


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This content is translated from Korean to English using the AI translation service DeepL and may contain translation errors such as jargon/pronouns.
If you find any, please send your feedback to kookminpr@kookmin.ac.kr so we can correct them.

 

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