Comparing Absolute Size Perception in Optical See-Through Augmented Reality and Real World Viewing Using Verbal and Physical Judgments
This empirical evaluation aimed to investigate how size perception differs between OST AR and the real world, focusing on two judgment methods: verbal reports and physical judgments. Using a within-subjects experimental design, participants viewed target objects in different sizes in both AR and real-world conditions and estimated their sizes using verbal and physical judgment methods across multiple trials. The study addressed two key hypotheses: (H1) that size perception in AR would differ from the Real World, potentially due to rendering limitations in OST-HMDs, and (H2) that verbal reports and physical judgments would yield different levels of accuracy due to distinct cognitive and perceptual processes involved in each method. Our findings supported these hypotheses, revealing key differences in size perception between the two judgment methods and viewing conditions. Participants consistently underestimated object sizes when using verbal reports in both AR and real-world conditions, with more pronounced errors in AR. In contrast, physical judgments yielded more accurate size estimates under both viewing conditions. Notably, the accuracy of verbal reports decreased as target sizes increased, a trend that was particularly evident in AR. These results underscore the perceptual challenges associated with verbal size judgments in AR and their potential limitations in applications requiring precise size estimations. By highlighting the differences in accuracy and consistency between verbal and physical judgment methods, this study contributes to a deeper understanding of size perception in OST AR and real-world contexts.
Authors
- Christopher C. Pagano (ORCID: https://orcid.org/0000-0002-0110-2055)
- Sabarish V. Babu (ORCID: https://orcid.org/0000-0002-8348-0534)
- Jung‐Hong Chuang (ORCID: https://orcid.org/0000-0002-9038-6124)
- Chao-Kuo Chiu
Institutions
- National Yang Ming Chiao Tung University (TW)
- Clemson University (US)
Publication Details
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1109/vr59515.2025.00055
- Citations
- 2
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.55
Funders
- National Science Foundation
- National Science and Technology Council