Mun Yong Yi
KAIST 산업및시스템공학과 · 컴퓨터과학
Mun Yong Yi 교수의 연구실은 정보기술 활용 능력 향상과 디지털 기술 수용을 중심으로, 컴퓨터 스킬 향상, 행동 모델링 기반 교육, 자기효능감 및 개인목표의 영향, 그리고 챗봇과 같은 콘텐츠 추천 시스템에서의 정서적 요소 통합을 연구합니다. 특히 사용자의 행동과 정서적 반응을 고려한 인지·정서적 요소가 기술 수용에 미치는 영향을 분석하며, 실생활 기반의 효과적인 소프트웨어 교육 및 인공지능 기반 상호작용 설계에 초점을 맞추고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Computer skills are key to organizational performance, and past research indicates that behavior modeling is a highly effective form of computer skill training. The present research develops and tests a new theoretical model of the underlying observational learning processes by which modeling-based training interventions influence computer task performance. Observational learning processes are represented as a second-order construct with four dimensions (attention, retention, production, and mot
ABSTRACT As new technological innovations are rapidly introduced and changed, identifying an individual characteristic that has a persistent effect on the acceptance decisions across multiple technologies is of substantial value for the successful implementation of information systems. Augmenting prior work on individual innovativeness within the context of information technology, we developed a new measure of adopter category innovativeness (ACI) and compared its effectiveness with the existing
Abstract Managers and analysts increasingly need to master the hands‐on use of computer‐based decision technologies including spreadsheet models. Effective training can prevent the lack of skill from impeding potential effectiveness gains from decision technologies. Among the wide variety of software training approaches in use today, recent research indicates that techniques based on behavior modeling, which consists of computer skill demonstration and hands‐on practice, are among the most effec
Computer task performance is an essential driver of end user productivity. Recent research indicates that computer self-efficacy (CSE) is an important determinant of computer task performance. Contrary to the significant interest in understanding the role of CSE in predicting computer task performance, little attention has been given to understanding the role of personal goal (PG), which can be as powerful as or more powerful than CSE in predicting and determining computer task performance. Empl
Conversational agents (CAs) offer new functionality and convenience. While their sales have been soaring, they have also rapidly become victims of verbal abuse by their users. Without proper handling of abusive usage, abusers’ actions can be reinforced and transferred to real life. This study investigates whether alternative response styles of empathy orientation and emotional expressivity of voice-activated virtual assistants influence users’ moral emotions found to reduce verbal aggression as
