un Heyjung
Papers
1
Total Citations
1
H-Index
1
About
Un Heyjung is a researcher focused on gerontechnology and the intersection of aging, technology acceptance, and human-robot interaction. Her work primarily investigates how older adults perceive and adopt assistive technologies, particularly wearable robots designed to enhance mobility and independence. In her most-cited study, she applies the Almere model of technology acceptance to examine factors influencing older adults' attitudes and intentions toward using wearable robots. Drawing on survey data from 310 cognitively healthy seniors aged 65 and older, she explores how sociodemographic variables—such as gender, age, education, employment, marital status, living arrangements, and income—along with health indicators like frailty, chronic conditions, and mental well-being, shape technology acceptance. This research provides foundational insights for designing user-centered robotic interventions that align with the needs and preferences of aging populations. While her citation count is still growing, her work contributes meaningfully to the emerging field of age-friendly technology design, offering practical guidance for developers and policymakers aiming to support healthy aging through innovation.
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Top Papers
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