서비스 로봇의 재분류를 위한 상호작용 기반 지식 탐지: 빅데이터 분석 관점

With the rapid advancement of artificial intelligence technology, the field of service robots in human-robot interactive services has experienced significant growth. This paper aims to uncover user perceptions of acceptance towards human-robot interactive service robots based on online reviews. Employing techniques such as word2vec, sentiment classification, and Latent Dirichlet Allocation (LDA) analysis, this study investigates the interaction dynamics. The findings reveal that in the realm of interactive technology, public service robots, domestic service robots, and service robots effectively comprehend and respond to users’ speech, gestures, emotional states, and navigation requirements. Nevertheless, concerns arise when these robots collaborate with humans, which can evoke fear and anxiety. Notably, public service robots are positively associated with experiential value, while system quality emerges as a negative aspect. Anthropomorphism represents a positive trait of domestic service robots, while perceived intelligence emerges as a negative aspect. In the case of service robots, perceived enjoyment is a positive attribute, contrasting with negative associations related to service quality. This study contributes to enhancing users’ comprehension of human-robot interaction service robots, underscoring the significance of user acceptance of such robots.