• Korean Journal of Culture and Social Issue
• /
• v.27 no.4
• /
• pp.529-559
• /
• 2021

This study examines how people perceive and experience busyness, which is a great social pressure in the Korean society, and The socio-psychological motives that drive people's different paces of life, such as busyness or slowness, despite being in the same busy reality, were examined. Furthermore, an in-depth study was conducted on the adaptation factors in the real society according to the speed of individual life. The analysis of this study was based on an in-depth interview data of 21 unmarried men and women in their 20s and 30s, and was conducted using a phenomenological qualitative analysis method. As a result, the perception and experience of being busy had both positive and negative parts. The components of socio-psychological motivation that affect the speed of an individual's life are 'internalization of positive values of (busy/rest)', '(future/present) centric', 'selection & concentration/Inertial busyness', 'personality characteristics' were derived. In addition, 'self-selection', 'successful time management', and 'maintenance of psychological health' were derived as common factors among adaptation factors in real society, 'a sense of achievement' and 'understanding and accepting self-characteristics' were derived as discriminatory factors. became Based on these results, the value and meaning of being busy in Korean society was discussed from a social psychology perspective, and a new perspective was presented to existing studies and discussions related to the speed of life. In addition, several follow-up studies were proposed.

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.10
• /
• pp.776-780
• /
• 2009

As smartphones appear as suitable devices to implement ubiquitous computing recently, there are many researchers who study about personalized Intelligent services in smartphones. An intelligent synthetic character is one of them. This paper proposes a method generating behaviors of an intelligent synthetic character. In order to generate more natural behaviors for the character, the Bayesian networks are exploited to infer the user's states and OCC model is utilized to create the character's emotion. After inferring the contexts, the behaviors are generated through the behavior selection networks with using the information. A usability test verifies the usefulness of the proposed method.