| Title |
Comparison of Differences in Dimensional Perception of Augmented Reality Contents According to User Characteristics |
| Authors |
한원희(Han, Won-Hee) ; 김주연(Kim, Ju-Yeon) |
| DOI |
https://doi.org/10.5659/JAIK.2022.38.4.109 |
| Keywords |
Augmented Reality; Dimensional Perception; User Experience; Human Factor |
| Abstract |
Augmented reality (AR) space enables humans to interact and experience various fields in a real space. Particularly, in the fields of design
and education, AR leverages virtual content by introducing it into existing learning curricula and extends the technological benefits through
interactivity and immersion. In this study, a research method was established by subdividing the user's spatial perception range in an
augmented reality environment and empirically verifying the differences in dimensional response. An experiment was designed from literature
and previous studies on whether the factors of an AR concept and empathy affect users. The 1:1 and 1:20 scale divides the sense of
empathy in AR by the difference in the scale to understand how it affects dimensional perception. A total of 129 participants were recruited
based on classification and characteristics and divided into two groups: individuals who experienced design education and those who did not.
The data extracted defined perceptual characteristic variables according to a user's traits involving gender, height, experience in the AR
environment and design education. Statistical analysis such as cross-analysis was carried out to determine the difference in the ratio of the
dimensional response range; they were based on user characteristics, independent sample t-test and a one-way ANOVA analysis to find the
dimensional differences for each characteristic. This confirmed that there was a difference in the perceptual characteristics in the 1:1 scale
and the 1:20 scale. Additionally, different scales had different effects on user characteristics such as AR experience and design education.
This study was different from previous studies in that it confirmed the practical design education effectiveness of AR through user-centered
data, unlike the studies that devised various methods to utilize AR in the existing design field. |