TY - GEN
T1 - Research on Conveying User Experiences Through Digital Advertisement
AU - Dwiputri Suciadi, Stephanie
AU - Nakanishi, Miwa
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Digital advertisement enables potential consumers to picture what they might experience when they use an advertised product. Creating effective user experience (UX) images in digital advertisement helps companies promote their products and attract specific audiences while allowing the designer of the product to communicate their vision to viewers. To increase the efficacy of advertising while simplifying the design processes, it is important to establish the designer’s own visualization of the product to communicate to buyers. In this research, we conducted an evaluative experiment by analyzing the objective features of 80 video advertisements for home appliances to create an evaluative prediction model for the 24 defined types of UX. The results revealed that UX can be conveyed through digital media and that objective features, which are mainly related to people’s appearance, visual, audio, and content, can influence this. Each UX prediction model was created with different features and might be used as a reference in creating digital content advertisements that convey the UX.
AB - Digital advertisement enables potential consumers to picture what they might experience when they use an advertised product. Creating effective user experience (UX) images in digital advertisement helps companies promote their products and attract specific audiences while allowing the designer of the product to communicate their vision to viewers. To increase the efficacy of advertising while simplifying the design processes, it is important to establish the designer’s own visualization of the product to communicate to buyers. In this research, we conducted an evaluative experiment by analyzing the objective features of 80 video advertisements for home appliances to create an evaluative prediction model for the 24 defined types of UX. The results revealed that UX can be conveyed through digital media and that objective features, which are mainly related to people’s appearance, visual, audio, and content, can influence this. Each UX prediction model was created with different features and might be used as a reference in creating digital content advertisements that convey the UX.
KW - Advertisement
KW - Digital content
KW - Human perception
KW - User experience
UR - http://www.scopus.com/inward/record.url?scp=85112147306&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112147306&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78321-1_2
DO - 10.1007/978-3-030-78321-1_2
M3 - Conference contribution
AN - SCOPUS:85112147306
SN - 9783030783204
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 16
EP - 27
BT - Human Interface and the Management of Information. Information Presentation and Visualization - Thematic Area, HIMI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer Science and Business Media Deutschland GmbH
T2 - Thematic area Human Interface and the Management of Information, HIMI 2021 Held as Part of the 23rd HCI International Conference, HCII 2021
Y2 - 24 July 2021 through 29 July 2021
ER -