Cultural Heritage Design Element Labeling System with Gamification

Jieun Lee, Ji Hyun Yi, SeungJun Kim
2020 IEEE Access  
Cultural heritage (CH) artifacts, such as ceramics and clothes, reflect the unique characteristics of ancient cultures and have the potential to be sustainably employed in modern design and entertainment. In particular, the shape of ceramics reflects regional and historical characteristics, so datafication is a promising avenue to preserve these assets for future generations. However, design is a specialized domain that requires significant human (expert and novice) labor. This often tedious
more » ... cess decreases the labeler's motivation to complete the task, and data consistency varies with the experience and motivation of the labeler. To increase engagement, we developed an image labeling platform with graphical icon-based labeling methods and introduced gamification. The robust labeling methods with gamification increased novices' engagement and decreased the workload of expert and novice labelers, but decreased data agreement between experts and novices, so we consider opportunities for gamification within the specialized cultural heritage domain. INDEX TERMS Cultural heritage artifact, design element, gamification, human-based computation, image labelling platform, workload. JIEUN LEE received the B.S. degree in biomedical engineering from Eulji University, South Korea, in 2013, and the M.S. degree in robotics engineering from the Daegu Gyeongbuk Institute of Science and Technology, South Korea, in 2015. She is currently pursuing the Ph.D. degree with the School of Integrated Technology, Gwangju Institute of Science and Technology (GIST). She is developing a human-computer interaction system for increasing engagement and motivation of people to participate the social community. Her research interests include engagement, gamification, and HCI. JI HYUN YI received the master's degrees in industrial design and fine arts from projects concerning human-vehicle interaction, wearable UI/UX technologies, human-robot interaction, sensory augmentation with haptics and augmented reality, and cyber-learning with a sensor support. His research interests include the intersection of human-computer interaction (HCI) and sensor data mining to create intelligent systems that improve the quality of HCI experience based on human attention and cognition.
doi:10.1109/access.2020.3008270 fatcat:r24dubp2nvh4rhsluepuh3ike4