Korea Advanced Institute of Science and Technology · Computer Science
Professor Mun Yong Yi's research lab focuses on human-computer interaction, particularly on improving individual performance and acceptance of information technologies through psychological and behavioral mechanisms. The lab investigates key factors such as computer self-efficacy, personal goals, observational learning, and emotional design in software training and technology adoption. It also explores the role of emotional expressivity and empathy in conversational agents to reduce user aggression and enhance user experience. The lab integrates theoretical modeling with empirical validation using advanced statistical methods like PLS and graph-based recommender systems to address real-world challenges in technology use and personalization.
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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
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