Hyunjin Lee

A WISE (Wearable Interface for Sustainable Enhancement) AR UI/UX platform for smart glasses.

Real-time XR interface technology for environmental adaption through next-generation virtual objects.

Augmented reality (AR) helps users easily accept information when they are walking by providing virtual information in front of their eyes. However, it remains unclear how to present AR notifications considering the expected user reaction to interruption. Therefore, we investigated to confirm appropriate placement methods for each type by dividing it into notification types that are handled immediately (high) or that are performed later (low). We compared two coordinate systems (display-fixed and body-fixed) and three positions (top, right, and bottom) for the notification placement. We found significant effects of notification type and placement on how notifications are perceived during the AR notification experience. Using a display-fixed coordinate system responded faster for high notification types, whereas using a body-fixed coordinate system resulted in quick walking speed for low ones. As for the position, the high types had a higher notification performance at the bottom position, but the low types had enhanced walking performance at the right position. Based on the finding of our experiment, we suggest some recommendations for the future design of AR notification while walking.

Augmented reality (AR) head-mounted displays (HMDs) allow users to easily receive notifications while participating other tasks by projecting information directly in their field of view. Although HMDs offer such benefits in displaying notifications, there is insufficient research on the effective placement of AR notifications when the user is walking. For this, we conducted two studies based on different types of AR information to identify how the users perceive and understand the AR notifications according to placement while walking. We compared two different coordinate systems (display-fixed and body-fixed) and three different positions (top, right, and bottom) for icon-type and text-type notifications. The results indicated that using a display-fixed coordinate system for icon-type notifications yields significantly higher noticeability and comprehension. In contrast, using a body-fixed coordinate system for text-type notifications significantly improved comprehension and walking performance. Regarding the position of notifications, the bottom position resulted in a significantly higher noticeability and comprehension for both icon- and text-type notifications compared with the top. Based on these results, we draw some recommendations for the future design of notifications in AR HMDs.

Augmented reality head-mounted displays (AR HMD) enable visual notifications directly into the user's field of view (FoV) to perform dual-task. However, research on the efficient presentation of notifications when communicating with a virtual avatar in augmented reality (AR) situation has been insufficient. For efficient AR notification presentations, it is necessary to understand where to display notifications without interfering with virtual avatar communication. We investigated two coordinate systems (world-fixed and display-fixed) and eight positions for AR notifications when conversing with the virtual avatar. Results showed that the top-left position increased response time and task load. Our study contributes as a cornerstone to designing AR notifications in communication with virtual avatars.

Providing additional information in the proper position of augmented reality (AR) head-mounted display (HMD) can help increase AR performance and usability for dual-task. Therefore, our study inves-tigated how to place notifications for the dual-task to address this. We compared eight display positions and two tasks (single and dual tasks) to identify the appropriate area for displaying notifications. We confirmed that the middle-right reduces response time and task load. In contrast, the top-left is the location, which should avoid providing any notification in AR dual-task. Our study contributes to designing AR notifications on HMDs to enhance everyday AR experiences.

Information in augmented reality (AR) consists of virtual and real contexts and is provided to the AR environment at different distances for each user. Therefore, it is important to understand how the integration of two different information influences the user's AR experience. However, little has been studied regarding the complexity and viewing distance of a real space. Our study investigates how the complexity of the physical environment and viewing distance influence workload and performance in a visual search task in an AR environment. We conducted an experiment in which participants performed conjunction search under three different levels of background complexity, at both near (1.5m) and far (3m) distances. The results indicated that as the complexity of the background increased, the users' performance time and workload were negatively impacted. In addition, when the distance between the user and the background was greater, search time increased. From the results of the study, we derived some recommendations for the design of AR interfaces. Our research contributes to the design of interfaces by demonstrating the necessity to consider the complexity of background and viewing distance.

In this study, we designed an effective user interface (UIs) for lock screens using facial expression recognition technology and two interface methods to develop an application that induces positive emotional flow in children. There is not enough study considering practical use of lock screen with special characteristics for different types of user such as children. After that, in order to understand its effectiveness, the whole process on the methodology timeline consisted of two phases. As a result of the survey, children preferred a lot of tasks on the lock screen whereas adults who were the control group preferred a lower task load and were more likely to use the face recognition lock screen than the children. Based on the characteristics of the derived children, we expect to develop effective applications by integrating the results of the research and specifying the functions.