TY - GEN
T1 - ML-process canvas
T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
AU - Zhou, Zhibin
AU - Qi, Zheting
AU - Gong, Qing
AU - Sun, Lingyun
N1 - Funding Information:
Project supported by the National Natural Science Foundation of China (No. 61672451), the National Basic Research Program (973) of China (No. 2015CB352503), Zhejiang Provincial Key Research and Development Plan of Zhejiang Province (No. 2019C03137), and the Alibaba-Zhejiang University Joint Institute of Frontier Technologies.
Publisher Copyright:
© 2019 Copyright is held by the author/owner(s).
PY - 2019/5/2
Y1 - 2019/5/2
N2 - Machine learning (ML) is now widely used to empower products and services, but there is a lack of research on the tools that involve designers in the entire ML process. Thus, designers who are new to ML technology may struggle to fully understand the capabilities of ML, users, and scenarios when designing ML-empowered products. This paper describes a design tool, ML-Process Canvas (see Fig. 1), which assists designers in considering the specific factors of the user, ML system, and scenario throughout the whole ML process. The Canvas was applied to a design project, and was observed to contribute in the conceptual phase of UX design practice. In the future, we hope that the Canvas will become more practical through continued use in design practice.
AB - Machine learning (ML) is now widely used to empower products and services, but there is a lack of research on the tools that involve designers in the entire ML process. Thus, designers who are new to ML technology may struggle to fully understand the capabilities of ML, users, and scenarios when designing ML-empowered products. This paper describes a design tool, ML-Process Canvas (see Fig. 1), which assists designers in considering the specific factors of the user, ML system, and scenario throughout the whole ML process. The Canvas was applied to a design project, and was observed to contribute in the conceptual phase of UX design practice. In the future, we hope that the Canvas will become more practical through continued use in design practice.
KW - Design method
KW - Design tool
KW - Machine learning
KW - User experience
UR - http://www.scopus.com/inward/record.url?scp=85067316110&partnerID=8YFLogxK
U2 - 10.1145/3290607.3312859
DO - 10.1145/3290607.3312859
M3 - Conference article published in proceeding or book
AN - SCOPUS:85067316110
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 4 May 2019 through 9 May 2019
ER -