Culture Technology
Explainable Assessment of Contextual Visibility of Public Signage (KOCCA)
- Goal
- AR/VR based visibility evaluation method and tool development for improving the contextual (ex. user, situation, environmental factors) visibility of public guide signs
- Concept
- AR / VR-based visibility evaluation test bed supporting various situation / environment scenario replay and non-destructive repetitive design
- Development of sensor hybrid evaluation system and method to support qualitative / quantitative analysis of the contextual relationship between the complex components of public information signs and human elements / spatial elements
- Providing successful cases supporting the spread of business modeling of local government support field and guide sign design design / recommendation / certification / evaluation service commercialization model
- 4 Test bed build : Development of indoor/outdoor AR/VR simulation test bed for visibility evaluation of public guide signs
- Real picture MR: Construction of shooting and signage rendering platform for in-lab MR test bed (in-lab, distraction effect study)
- Motion VR: Build simulation test bed based on motion platform and VR HMD (in-lab, motion effect study)
- Real picture MR (field): MROOM system based field motion VR test bed platform development
- Motion VR (field): MROOM system based field motion VR test bed platform development
Expertise-Free Annotation System for Korean Cultural Heritage Big Data (HCIK 2018, KOCCA)
New annotation system suggestion for meaningful data extraction and accurate data convergence of Cultural Heritage formative element -> Annotation data accumulation and big data analysis for diverse applications
- Procedure
- Annotation system design to annotate ceramic ware formative element by icons
- SUS based usability test and result analysis --> 11 people (Male 9, Female 2; No knowledge in Cultural Heritage, design, formative element and system usability 9)
- Result
- Complexity, Simplicity and Convenience: No unnecessary, complicated, or cumbersome elements, and the annotation operation confirms low workload. Fig1
- Technical assistance unnecessary and Learning unnecessary: Users may need technical help when using the system for the first time, but after learning how to use it, it is easy to use. Fig2
- Unnecessary of Design expertise, Expertise and Cultural Heritage expertise: Even without expertise, this system can be used to perform annotation tasks. Fig3
