Sungkyunkwan University · Computer Science
Eunil Park 교수의 연구실은 지능형 기술 환경에서 사용자 경험과 기술 수용을 중심으로 한 심층적 연구를 수행하고 있습니다. 스마트 홈, 스마트 시티, 모바일 네비게이션, SNS, 웨어러블 헬스 기기 등 다양한 디지털 서비스 환경에서 사용자의 의도적 사용 행동을 이해하기 위해 심리적 요인과 기술 수용 모델(TAM)을 융합한 분석 모델을 개발하고 있습니다. 특히 사용자 태도, 유용성, 품질, 몰입 경험 등 핵심 요소들이 기술 수용에 미치는 영향을 실증적으로 규명하는 데 초점을 맞추고 있습니다.
Figures are computed from collected data and may differ slightly.
With rapid improvements in communication technologies and infrastructure, the Internet of Things (IoT) has become a promising sector within the global information and communication technology industry. Various fields are employing the concept of IoT for their traditional products and services for convenient use by consumers. In the construction industry, the majority of leading companies and organizations are using IoT technologies in a smart home environment. However, only few studies have focu
Since the concept of a smart city was introduced, IoT (Internet of Things) has beenconsidered the key infrastructure in a smart city. However, there are currently no detailed explanations of the technical contributions of IoT in terms of the management, development, and improvements of smart cities. Therefore, the current study describes the importance of IoT technologies on the technology roadmap (TRM) of a smart city. Moreover, the survey with about 200 experts was conducted to investigate bot
This study identifies perceived mobility, security, connectedness, system and service quality, usefulness, attitude, and flow experience as key motivational factors for using social networking services (SNSs), and develops a theoretical model that explicates the process in which users adopt Facebook and Twitter by integrating these factors with the technology acceptance model (TAM). While results of structural equation modeling (SEM) on the collected data (N = 2,214) verified the validity and re
This study proposes an integrated research model for investigating driver adoption of car navigation systems. We consider the potential causal connections between core cognitive and psychological factors and driver intention to use these systems. We extracted possible factors that may significantly affect the perceived usability of car navigation systems from in-depth interviews with two groups of individuals: an expert group and a driver group. Data collected from N = 1045 drivers via an online
Purpose The aim of this paper is to propose an integrated path model in order to explore user acceptance of long‐term evolution (LTE) services by examining potential causal relationships between key psychological factors and user intention to use the services. Design/methodology/approach Online survey data collected from 1,344 users are analysed with the structural equation modelling (SEM) method. Findings Results reveal that satisfaction is the most crucial factor contributing to user intention
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