Expertise-Free Annotation System for Korean Cultural Heritage Big Data (HCIK 2018, KOCCA)
Expertise-Free Annotation System for Korean Cultural Heritage Big Data (HCIK 2018, KOCCA)
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Goal
Goal
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
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
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
Fig1.
Fig2.
Fig3.
Annotation expected workload and task persistence with annotation system
- Annotation estimated workload: minimum 3 images, maximum 700 images(average 149.5 (SD = 218.6))
- Annotation estimated task persistence: minimum 1hour, maximum 20hours (average 3.4 hours (SD=5.6))
- Each one image takes about 1 minute for annotation work → 150 images are processed efficiently within 150 minutes
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