THE DESIGN AND ASSESSMENT OF AN AI INTERACTIVE INSTALLATION BASED ON IMAGE STYLE TRANSFER AND FACIAL RECOGNITION FOR CULTURAL HERITAGE LEARNING
DS 136: Proceedings of the Asia Design and Innovation Conference (ADIC) 2024
Year: 2024
Editor: Yong Se Kim; Yutaka Nomaguchi; Chun-Hsien Chen; Xiangyang Xin; Linna Hu; Meng Wang
Author: Liang, Qing; Wang, Baosheng; Li, Zhiqiang
Series: Other endorsed
Institution: Hunan University, Northeast Forestry University
Page(s): 408-415
Abstract
Artificial intelligence (AI) has proven to be an effective tool for the public sector in preserving, analyzing, managing, and presenting cultural heritage. However, limited research has been conducted on the specific impact of AI on the public, particularly in terms of cultural heritage learning. This article aims to investigate the impact of AI on the public’s cultural heritage learning through the design and evaluation of an interactive installation that combines image style transfer and facial recognition technologies. We focused on assessing participants’ performance in the cultural heritage learning process and learning outcomes in terms of behavior and knowledge through conversation analysis, interviews, and questionnaires. The results demonstrated that the interactive installation fostered user-generated learning dialogues including five main categories: Perceptual talk (30.60%), Strategic talk (24.89%), Connecting talk (16.40%), Conceptual talk (15.22%), and Affective talk (12.90%). Furthermore, it facilitated the acquisition of cultural heritage knowledge and behavior of sharing cultural heritage on offline and online platforms post-experiment.
Keywords: Artificial Intelligence, Cultural Heritage, Interactive Installation, Image Style Transfer, Facial Recognition