TY - GEN
T1 - Data Visualization in Dashboards through Virtual Try-on Technology in Fashion Industry
AU - Sánchez-Ferrer, Agusto
AU - Pérez-Mendoza, Henry
AU - Shiguihara-Juárez, Pedro
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - An online platform virtual try-on allows the user to wear different types of clothes, shoes or accessories, increasing online sales in fashion stores. The goal of this work is to evaluate how to synthesize the obtained data from a virtual try-on application in a compact way for fashion entrepreneurs. This will allow decision-making in entrepreneurs who lack financial and operational information that allows them to be aligned with their business objectives. In this context, the satisfaction and understanding of entrepreneurs through three dashboards were considered. The collected data was obtained from 118 women who interacted with our virtual try-on mobile application. Then, 20 fashion entrepreneurs were interviewed to evaluate which dashboard can synthesize the information accurately. In the three dashboards, the results showed levels of satisfaction and understanding above 7 points on a scale from 1 to 10 points, which is a high level of acceptance. However, each synthesis of data implies different considerations, advantages and limitations.
AB - An online platform virtual try-on allows the user to wear different types of clothes, shoes or accessories, increasing online sales in fashion stores. The goal of this work is to evaluate how to synthesize the obtained data from a virtual try-on application in a compact way for fashion entrepreneurs. This will allow decision-making in entrepreneurs who lack financial and operational information that allows them to be aligned with their business objectives. In this context, the satisfaction and understanding of entrepreneurs through three dashboards were considered. The collected data was obtained from 118 women who interacted with our virtual try-on mobile application. Then, 20 fashion entrepreneurs were interviewed to evaluate which dashboard can synthesize the information accurately. In the three dashboards, the results showed levels of satisfaction and understanding above 7 points on a scale from 1 to 10 points, which is a high level of acceptance. However, each synthesis of data implies different considerations, advantages and limitations.
KW - business intelligence
KW - data visualization
KW - virtual try-on
UR - https://www.scopus.com/pages/publications/85070893197
U2 - 10.1109/ColCACI.2019.8781971
DO - 10.1109/ColCACI.2019.8781971
M3 - Contribución a la conferencia
AN - SCOPUS:85070893197
T3 - 2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Proceedings
BT - 2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Proceedings
A2 - Orjuela-Canon, Alvaro David
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019
Y2 - 5 June 2019 through 7 June 2019
ER -