USER EXPERIENCE &
HUMAN-COMPUTER INTERACTION LABORATORY

Welcome to UX & HCI Lab

Human-Computer Interaction Laboratory belongs to the Division of Future Convergence (HCI Science Major), Dongduk Women's University, Seoul, South Korea. Our laboratory has various equipment including motion capture systems (e.g., Smartsuit and Rokoko Studio), physiological measurement devices (e.g., EEG), driving simulator, and wearable devices (e.g., augmented/virtual reality headsets). We always look forward to joining new members who are full of passion. We are in the process of recruiting graduate students and postdoctoral researchers. If you are interested, please feel free to contact us via email (isrhiu@dongduk.ac.kr).

Research Areas

Our research areas are as follows: 1) Data-driven user experience, 2) User interface of new technology-based devices, 3) Ergonomic design (e.g., User-centered design, Kansei design).

1) Data-driven User Experience (UX)

• • We have developed a methodology that can collect and analyze user experience. Various statistical analysis methods (e.g., self-organized map, social network analysis, and machine learning) and observing user behavior method (e.g., user survey, in-depth interview, and text mining techniques) were applied. Recently, our lab is focused on exploring UX of products or services in online review comments or social media.

  • Featured publications

    • Kim, W., Ko, T., Rhiu, I.*, Yun, M.H. (2019). Mining affective experience for a kansei design study on a recliner. Applied Ergonomics, 74, 145-153. (SCI/SSCI)

    • Rhiu, I.*, Yun, M.H. (2018). Exploring user experience of smartphones in social media: A mixed-method analysis. International Journal of Human-Computer Interaction, 34(10), 960-969. (SCI/SSCI)

2) User Interface (UI) of New Technology-based Devices

• • Recently, new high technology-based products are being developed that interact with users in various ways (e.g., tactile, gesture interaction, voice or motion recognition, etc.) such as smart products, artificial intelligence speakers, virtual reality and augmented reality devices. In addition, as Internet of Things (IoT), which is a new technology paradigm envisioned as a global network of devices capable of interacting with each other, has been widely adopted, consumers can now control multiple devices at the same time. Our lab is basically focused on solving the related problems utilizing the methodologies of User Experience (UX), User-Centered Design (UCD), and Usability.

• • Featured publications

    • Kim, Y.M., Rhiu, I.* (2021). A comparative study of navigation interfaces in virtual reality environments: A mixed-method approach. Applied Ergonomics, 96, 103482. (SCI/SSCI)

    • Kim, Y.M., Rhiu, I.*, Yun, M.H. (2020). A Systematic Review of a Virtual Reality System from the Perspective of User Experience. International Journal of Human-Computer Interaction, 36(10), 893-910. (SCI/SSCI)

    • Choi, I., Rhiu, I. (co-first), Lee, Y., Yun, M.H., Nam, C.S.* (2017). A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives. PloS one, 12(4), e0176674. (SCIE)

3) Ergonomic Design

• • The HCI lab operates in the field of Ergonomics applied to the assessment and design of spaces, products, services and equipment. The aims of our Lab are the development and application of ergonomic assessment methodologies, both in the field of traditional ergonomics and in those of usability, Kansei engineering, and User-Centered Design (UCD).

• • Featured publications

    • Kim, Y.M., Lee, Y., Rhiu, I.*, Yun, M.H. (2021). Evaluation of locomotion methods in virtual reality navigation environments: An involuntary position shift and task performance. International Journal of Human-Computer Studies, 155, 102691. (SCI/SSCI).

    • Rhiu, I., Bahn, S.*, Nam, C.S., Yun, M.H. (2018). Affective experience of physical user interfaces: Similarities and differences among control types. Human Factors and Ergonomics in Manufacturing & Service Industries, 28(2), 56-68. (SSCI)

    • Rhiu, I., Kwon, S., Bahn, S.*, Yun, M.H., Yu, W. (2015). Research issues in smart vehicles and elderly drivers: A literature review. International Journal of Human-Computer Interaction, 31(10), 635-666. (SCI/SSCI)