Qingdong Liang

Dr. Qingdong Liang


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 November 2022 in Frontiers in Psychology
Verified
Journal Article
Open access
Fang Wen-TingFang Wen-Ting
Fang Wen-Ting
JSJian-Hua Sun
Jian-Hua Sun
QLQingdong Liang
Qingdong Liang
Fighting against the epidemic is an arduous and prolonged battle where many artists hope to inspire people with the power of art through cultural creativity. To explore the effects of emotional design factors on the communication of audio-visual art and the audience’s perceptive experience, this research takes the original anti-epidemic song and the film China Braves Headwind as the research object. The research also uses such methods as questionnaires, Structural Equation Models, and dependent samples t-tests to conduct statistical analysis. The results are as follows: First, the emotional design evaluation matrix based on the emotional communication model is reasonable, and the scales of this research are feasible. Second, the emotional design of audio-visual works can significantly affect the audience’s emotional experience and further improve sharing intention. Third, Attribute A2 (Artistic style, Thematic perception) and attribute C3 (Emotional resonance, Spiritual sublimation) serve as common factors affecting the emotional experience in terms of both musical works and film and television works. Fourth, compared with musical works, film and television works are likely to resonate with the audience. The combination of music and visual sensation can help open up the conception of artistic works and convey their meanings to viewers. Therefore, it’s necessary to explore the emotional communication mode between audio-visual artists and the audience. It helps artists think about how to create works innovatively and is conducive to marketizing works and stimulating cultural consumption demand.

28 December 2018 in IOP Conference Series: Materials Science and Engineering
Verified
Conference Paper
Open access
PDF file
QLQingdong Liang
Qingdong Liang
WFWenting Fang
Wenting Fang
In order to improve the efficiency of management and enhance the atmosphere of learning, in this paper, we develop a set of attendance system based on face recognition using the deep semi-NMF algorithm. Specifically, the system can automatically detect and recognize faces from the video images, and then gets its detailed information on attendance from the database. Moreover, the system not only performs simply, but also can be of great benefit to the whole educational field. The experimental results on real applications show that the system is effective and efficient.