{"id":599,"date":"2026-04-28T09:52:46","date_gmt":"2026-04-28T09:52:46","guid":{"rendered":"https:\/\/kstories.kr\/en\/tec260424001-en\/"},"modified":"2026-04-28T11:15:25","modified_gmt":"2026-04-28T11:15:25","slug":"tec260424001-en","status":"publish","type":"post","link":"https:\/\/kstories.co.kr\/en\/tec260424001-en\/","title":{"rendered":"WESEEKS’ ‘AI Family Safety Call’ Academically recognition the Effects of Seniors’ daily rhythm Rhythm formation and Abnormal Signs detection"},"content":{"rendered":"
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WESEEKS' 'AI Family Safety Call' Academically recognition the Effects of Seniors' daily rhythm Rhythm formation and Abnormal Signs detection<\/div>\n

Amidst rapid development, AI AI service is gaining attention as a new care alternative, but objective data on its actual effectiveness has been lacking. In this situation, WESEEKS conducted academic research based on real operational data from its AI AI service ‘AI Family Safety Call’ service, scientifically proving the service’s effectiveness by demonstrating the potential for seniors’ daily rhythm rhythm formation and abnormal signs detection.<\/p>\n

The Era of development, the Necessity of AI AI service and Market development<\/h2>\n

As the aging population rapidly progresses, the isolation and care of seniors living alone have emerged as important challenges for our society. Traditional visiting care faces limitations in terms of personnel and costs, and emergency call devices have the constraint that seniors must recognize risks themselves. In this reality, AI AI service enables efficient care by allowing seniors to simply receive a call without separate device installation, while the AI checks their meal, medication, and mood status and delivers reports to their families.<\/p>\n

Thanks to these advantages, AI AI service is actively operated as a pilot project project in various local governments, including Seoul and Busan, and private companies, including WESEEKS, are successively launching related services, forming the market. According to statistics related to development published by Statistics Korea in 2025, the domestic population aged 65 or older has exceeded 20% of the total, and WESEEKS estimates that the domestic AI care service market size as of 2025 grew by 38% compared to the previous year, showing its growth trend.<\/p>\n

Beyond Subjective Satisfaction, Service Effectiveness Proven by Data<\/h2>\n

Until now, research on the effectiveness of AI AI service has primarily focused on users’ subjective satisfaction or qualitative results, such as ‘reduction in loneliness’ or ’emotional bond’. While these were important achievements, objective evidence regarding the specific changes the service brings to seniors’ actual daily life levels was insufficient. As the market grows, a clear answer to the question ‘Is AI Safety Call truly effective?’ has been demanded.<\/p>\n

To address this gap, WESEEKS partnered with research teams led by Professor Hwang Sung-joo of Ewha Womans University and Professor Choi Min-ji of Inha University, providing actual operational data from its ‘AI Family Safety Call’ service for academic research. The research team focused on statistically verifying changes in seniors’ daily life by analyzing a total of 7,613 call logs used by 547 seniors collected over 82 days from October to December 2025. This is significant as it marks the first attempt to scientifically prove the service’s effectiveness based on real data, going beyond previous qualitative studies.<\/p>\n

AI-Created Daily Rhythms, New Possibilities for Abnormal Signs detection<\/h2>\n

The key finding of this study is that the standard deviation of response times significantly decreased in the group that used ‘AI Family Safety Call’ long-term (Mann-Whitney p=0.002). This means that unlike short-term user groups where response times were dispersed across various times of the day after service subscription, long-term user groups showed a clear convergence of responses to specific times. In other words, the data demonstrated that the AI Safety Call contributes to forming a regular pattern in seniors’ daily lives, specifically a daily rhythm rhythm, where ‘the phone rings at this time’.<\/p>\n

Through these results, the research team revealed that AI Safety Call goes beyond simply increasing call frequency; it functions by integrating the time seniors receive calls into their daily rhythm rhythm. More importantly, if such a stable response pattern is formed, the moment that pattern is broken can be interpreted as an abnormal signal, suggesting the possibility of preventive isolation management. For instance, if a senior who usually receives calls regularly at 9 AM repeatedly does not respond, this could be a significant indicator of a disturbance in their daily rhythm rhythm or a health abnormality, rather than just an absence.<\/p>\n

This study suggests the possibility of developing an abnormal detection model based on response patterns through the creation of individual response time profiles. This means that by detecting changes like ‘reacting differently than usual at a specific time’ rather than the superficial fact of ‘not answering the phone today,’ a basis for more precise and timely care intervention can be established, and it is expected to be a significant turning point in the advancement of AI-based care services.<\/p>\n

Promoting Service advancement with daily rhythm Pattern-Based care<\/h2>\n

Kim Ji-woo, CEO of WESEEKS, emphasized the significance of this academic research by stating, \u201cThis is the first attempt to verify through data how our service actually impacts the daily lives of seniors.\u201d He further announced his intention to ‘develop the service away from an evaluation method centered on connection rates and towards a daily rhythm pattern-based care advancement direction,’ expressing a commitment to providing innovative, data-driven care services.<\/p>\n

This study was published in ‘Advanced Industrial SCIence’ Vol. 5, No. 2 (pp.52-59), 2026, an academic journal issued by the Korea Society of Small and Medium Business Convergence, and its academic value was recognized. Professor Hwang Sung-joo of Ewha Womans University, WESEEKS CEO Kim Ji-woo, and Professor Choi Min-ji of Inha University participated as co-authors in this research, leaving an exemplary case of verifying the effectiveness of an actual service through industry-academia collaboration. Based on these research findings, WESEEKS plans to implement more precise and personalized AI care services and lead the care paradigm in a development society.<\/p>\n

WESEEKS’ research findings have proven that AI Safety Call goes beyond simple phone calls to provide seniors with stable routines and, furthermore, contribute to the early detection of potential risks. This is a clear example demonstrating the qualitative improvement and expansion potential of care services that AI technology can offer in a development society.
Moving forward, AI AI service is expected to play a key role in supporting seniors’ healthy and stable later-life daily rhythm by building sophisticated data-driven care models.<\/p>\n

English-Korean Version<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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