ML Lifecycle Canvas
Designing Machine Learning-Empowered UX with Material Lifecycle Thinking
Bibliographic Data
| ID | 15216237 |
|---|---|
| Authors | Zhibin Zhou (0000-0001-9545-3763, International Design Institute, Zhejiang University, Hangzhou, China), Lingyun Sun (0000-0002-5561-0493, International Design Institute, Zhejiang University, Hangzhou, China, corresponding author), Yuyang Zhang (0000-0003-3566-4037, Key Laboratory of Design Intelligence and Digital Creativity of Zhejiang Province, Hangzhou, China), Xuanhui Liu (0000-0001-8692-6880, International Design Institute, Zhejiang University, Hangzhou, China), Qing Gong (0000-0001-5032-8539, International Design Institute, Zhejiang University, Hangzhou, China) |
| Year | 2020 |
| Volume | 35 |
| Issue | 5-6 |
| Pages | 362-386 |
| Publication date | 2020-04-30 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human-Computer Interaction (JOURNAL) |
| Journal identifiers | ISSN: 0737-0024 • E-ISSN: 1532-7051 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/07370024.2020.1736075 |
| OpenAlex | W3023283491 |
| Language | EN |
| Citations received | 2 |
| References cited | 41 |
As a particular type of artificial intelligence technology, machine learning (ML) is widely used to empower user experience (UX). However, designers, especially the novice designers, struggle to integrate ML into familiar design activities because of its ever-changing and growable nature. This paper proposes a design method called Material Lifecycle Thinking (MLT) that considers ML as a design material with its own lifecycle. MLT encourages designers to regard ML, users, and scenarios as three co-creators who cooperate in creating ML-empowered UX. We have developed ML Lifecycle Canvas (Canvas), a conceptual design tool that incorporates visual representations of the co-creators and ML lifecycle. Canvas guides designers to organize essential information for the application of MLT. By involving design students in the “research through design” process, the development of Canvas was iterated through its application to design projects. MLT and Canvas have been evaluated in design workshops, with completed proposals and evaluation results demonstrating that our work is a solid step forward in bridging the gap between UX and ML
Application lifecycle management · Design Thinking · Human–computer interaction · Knowledge management · Process (computing · Process management · Software engineering · System lifecycle · Systems engineering · User experience design · Computer Science · Data Visualization and Analytics · Design Education and Practice · Engineering · Innovative Human-Technology Interaction
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |