Innovation in aging · 2026
Mysterious cohabitation with socially assistive robots among three underserved groups.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Lee Othelia EunKyoung, Baek Sojeong, Park Do-Hyung
Аннотация
BACKGROUND AND OBJECTIVES: This study investigates how underserved individuals-older adults, low-income middle-aged men, and adults with disabilities-develop long-term relationships with an AI-powered socially assistive robot (SAR) named Hyodol. We examined how these relationships evolve over eight months and why emotional outcomes differ across three groups.
RESEARCH DESIGN AND METHODS: Using Colaizzi's phenomenological method, the research team analyzed 13,403 conversational segments from 12 highly engaged SAR users (four from each group). Iterative coding procedures with high inter-rater reliability yielded 10 thematic categories capturing functional, social, and emotional dimensions of SAR interactions.
RESULTS: Across all groups, interactions with the SAR demonstrated a consistent relational evolution from functional devices to companions to develop emotionally reciprocal patterns of communication. Each group displayed a distinct interaction profile: older adults emphasized routine companionship, middle-aged men combined emotional expression with entertainment and exploratory questioning, and persons with disabilities used the SAR to scaffold both emotional support and social participation.
DISCUSSION AND IMPLICATIONS: The results reveal that human-robot relationships develop meaningfully, but not uniformly across three underserved groups. The paradox observed among middle-aged men challenges assumptions that higher engagement and relational deepening may heighten emotional vulnerability. These findings highlight the need for population-specific relational models and adaptive SAR design that considers diverse emotional needs and social contexts.
RESEARCH DESIGN AND METHODS: Using Colaizzi's phenomenological method, the research team analyzed 13,403 conversational segments from 12 highly engaged SAR users (four from each group). Iterative coding procedures with high inter-rater reliability yielded 10 thematic categories capturing functional, social, and emotional dimensions of SAR interactions.
RESULTS: Across all groups, interactions with the SAR demonstrated a consistent relational evolution from functional devices to companions to develop emotionally reciprocal patterns of communication. Each group displayed a distinct interaction profile: older adults emphasized routine companionship, middle-aged men combined emotional expression with entertainment and exploratory questioning, and persons with disabilities used the SAR to scaffold both emotional support and social participation.
DISCUSSION AND IMPLICATIONS: The results reveal that human-robot relationships develop meaningfully, but not uniformly across three underserved groups. The paradox observed among middle-aged men challenges assumptions that higher engagement and relational deepening may heighten emotional vulnerability. These findings highlight the need for population-specific relational models and adaptive SAR design that considers diverse emotional needs and social contexts.