지능형 IoT 서비스를 위한 사용자 경험 평가 프레임워크 개발

초록

Background As Internet of Things (IoT) systems and services are widely used across industries, IoT has evolved by integrating with various technologies. Among these, research on Intelligent IoT, which considers multiple situations and contexts through the combination of artificial intelligence, is actively underway. However, most studies focus on algorithm or functionality improvements for the systems or service design at the stage based on user needs. Moreover, there has been a lack of research on the development of evaluation frameworks for IoT systems and services, particularly those that consider both user situations and contexts. Based on this, a framework for evaluating the user experience of intelligent IoT services is proposed. Methods A literature review on intelligent IoT was conducted to derive evaluation indicators. The literature review involved collecting guidelines related to IoT, design, and user evaluation through a chain sampling method, and setting keywords focused on the characteristics of IoT to perform a systematic literature review and a structured article sampling process. The indicators collected through this process were then used to establish an initial set of indicators through affinity diagramming and workshops. Subsequently, the preliminary evaluation indicators were reviewed by a panel of eight experts, leading to the development of the final set of evaluation indicators. Results Based on the indicators collected through the literature review conducted in this study, a framework for the indicator system was established through structural and semantic adjustments. In this framework, the indicator system was categorized into Usability and User Value. The Usability-related indicators consist of 8 main indicators and 24 detailed indicators under the categories of Ease of Use, Interaction Suitability, and Context Understandability. The User Value-related indicators are organized into 6 main indicators and 14 detailed indicators under the categories of Functional Value, Emotional Value, and Social Value. Additionally, for each indicator, individual definitions, key features, and expert opinions were synthesized and described. Conclusions This study holds significance as it goes beyond traditional research on system mechanisms or functionality improvements by focusing on a user-centered perspective within the growing IoT industry and technological convergence. By proposing an evaluation framework that incorporates user contexts, the study contributes to enhancing the usability of IoT systems and services, with practical applications expected for IoT system developers and service planners.

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