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Muqeem KhanArts computing Digital intangible heritage Digital documentation Motion capture Motion sensing Public engagement Serious games Serious games traditional knowledge traditional knowledge User interaction Virtual reality Virtual reality
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Khan, M. (2015). Archive To Repertoire: Motion Capture \& Motion Sensing Data For Digital Intangible Heritage (DIH). 197-198. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/DigitalHeritage.2015.7419490
Muqeem KhanArts computing Digital intangible heritage Digital documentation Motion capture Motion sensing Public engagement Serious games Serious games traditional knowledge traditional knowledge User interaction Virtual reality Virtual reality
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Zhang, L., Wang, Y., Tang, Z., Liu, X., & Zhang, M. (2023). A Virtual Experience System of Bamboo Weaving for Sustainable Research on Intangible Cultural Heritage Based on VR Technology. Sustainability, 15. https://doi.org/10.3390/su15043134
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Chunhui LiuDemand modelling Digital display Digital presentation Functional demands Hierarchy of need Intangible cultural heritages Interactive behavior Interactive experience KANO model User demands Virtual environments Virtual reality
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Chen, X., Chen, Z., Xiao, L., & Zhou, M. (2022). A Novel Sentiment Analysis Model of Museum User Experience Evaluation Data Based on Unbalanced Data Analysis Technology. Computational Intelligence And Neuroscience, 2022. https://doi.org/10.1155/2022/2096634 (Original work published apr)
Xiang Chen Zhiwei Chen Lei Xiao Ming ZhouClassification (of information) Cultural heritages Data Analysis Digital museums Digital reconstruction museums sentiment analysis sentiment analysis Support vector Support vector machines Support vectors machine Technology Unbalanced data Unbalanced support User evaluations User experience evaluations Users experiences Vectors Virtual reality Virtual reality article Data Analysis human human experiment information center Inheritance reference value Satisfaction sentiment analysis support vector machine
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