Developing a Course on Human-Centered Machine Learning-Based Product Design

Interpreting and incorporating machine learning technology from a human perspective helps define the role of product designers in the era of artificial intelligence. With this background, this study developed a 7-week design course about machine learning-based product design. Subsequently, in Fall 2023, a class with seven undergraduate students from different majors was held on the subject of “home camera.” The design process consisted of (a) user research and need definition based on machine learning understanding and (b) machine learning-based interaction design development using a coding platform. The course was designed to explore the role of designers who implement human-centered design planning and prototypes considering machine learning tools. In addition, the course provided a basis for suggesting the direction of design education methods given emerging AI technology. The essence of design education is not merely about efficiency; rather, it is about nurturing designers’ ability to think critically and use tools to cultivate innovation.

Authors

Publication Details

Journal
IAFOR Journal of Education
Published
2024-08-30
DOI
https://doi.org/10.22492/ije.12.2.03
Citations
2
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
1.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a Course on Human-Centered Machine Learning-Based Product Design

Meile Le, Euichul Jung
2 citations
IAFOR Journal of Education
Digital Media and Visual Art
1.26
article

Developing a Course on Human-Centered Machine Learning-Based Product Design

Meile Le, Euichul Jung
article en
2 citations

Abstract

Interpreting and incorporating machine learning technology from a human perspective helps define the role of product designers in the era of artificial intelligence. With this background, this study developed a 7-week design course about machine learning-based product design. Subsequently, in Fall 2023, a class with seven undergraduate students from different majors was held on the subject of “home camera.” The design process consisted of (a) user research and need definition based on machine learning understanding and (b) machine learning-based interaction design development using a coding platform. The course was designed to explore the role of designers who implement human-centered design planning and prototypes considering machine learning tools. In addition, the course provided a basis for suggesting the direction of design education methods given emerging AI technology. The essence of design education is not merely about efficiency; rather, it is about nurturing designers’ ability to think critically and use tools to cultivate innovation.

IAFOR Journal of EducationVol. 12(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Digital Media and Visual Art
1.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Developing a Course on Human-Centered Machine Learning-Based Product Design — Meile Le, Euichul Jung · IAFOR Journal of Education (2024) | TGRS Research Map | TGRS