User Value Laboratory belongs to the Department of Industrial & Management Engineering and is located at 8 ho-gwan 426 ho, Incheon National University (INU), Republic of Korea. Our laboratory has various equipment including both marker-based and markerless motion capture systems, physiological measurement devices (e.g., EMG, GSR, BVP, respiration and body temperature), body composition analyzers, workout machines (e.g., treadmills and exercise bikes) and wearable experimental devices (e.g., smartwatches and virtual reality headsets). Our research areas are as follows. We are in the process of recruiting graduate students and postdoctoral researchers, and if you are interested, please email us at

Ergonomic Design of Medical, Rehabilitation, and Assistive Devices
  • The market for medical, rehabilitation and assistive devices is getting bigger, but considering the high barriers to entry and limited user base, usability and user experience considerations are insufficient. Our laboratory aims to increase the cognitive and physical fitness of medical, rehabilitation and assistive devices so that more people can benefit from it. For this purpose, research has been carried out on exoskeleton robot walker and bio-signal measuring instrument.

User Interface (UI) of Wearable Device, VR/AR Headset and Drone
  • As the fourth industrial revolution began, the use of new devices such as wearable devices, virtual and augmented reality headsets and drones began to increase. As new devices become popular, side effects start to appear. Most of the side effects are related to usability and user experience. Our laboratory is basically focused on preventing and improving the related problems in advance. We mainly diagnose and solve problems through benchmarking experiments.

Data-driven User Experience (UX) and User Value (UV) Engineering
  • User experience and user value information can be useful when analyzed through quantification. We have developed a methodology that can use quantified experience and value level in the development of new products and services. Various mathematical analysis methods including machine learning and deep learning were applied. It will be applied to various fields such as literature and arts to broaden the scope of user experience and user value, which have been analyzed through products and services.