Measuring Cognitive Characteristics of Developmental Disabilities in VR

Visual Cognition Lab & ETRI, 2019.08~12

To maximize the effectiveness of VR job training programs for people with developmental disabilities, it is critical to develop a personalized training program that considers the symptoms and characteristics of individual patients, as well as the collective cognitive characteristics of the group. We developed a method for measuring cognitive characteristics in processing multisensory (visual, auditory, and tactile) stimuli in virtual environments and established group / individual cognitive models of people with developmental disabilities.

Pseudo-Haptic Feedback for Weight Perception of Virtual Objects

Jin Wook Kim & Jeongmi Lee, 2019~2020

The displacement between a virtual hand and the real hand is currently studied to assign weight to a virtual object. Rietzle et al. (2018) and Samad et al. (2019) developed a C/D ratio manipulation and conducted experiments to get an appropriate offset value for weight assignment and an acceptable C/D ratio. Even though these approaches could be effective for short-term simple interactions, the displacement could cause several issues in long-term complex interactions. Therefore, we are working on another method to assign weight to a virtual object that could solve this problem.

Variability in the attentional template based on familiarity and preference

Eugene Hwang & Jeongmi Lee, 2019

The perception of the world differs among individuals. The way one perceives the information around them is formed through their personal experiences and preferences. Through an identity categorization task and a visual search task using morphed faces, we test the hypothesis that each person’s attentional template is biased by the individual’s preference and familiarity of the stimuli, which in turn would explain the unique variance in visual search performance.