GeneyMAP: Exploring the Potential of GenAI to Facilitate Mapping User Journeys for UX Design

要旨

Generative AI (GenAI) has been widely applied in UX design, yet its potential in the Journey Map (JM) creation process remains under-explored. We conducted a formative study (N = 24) to identify designers' needs for GenAI in JM creation, resulting in six design goals implemented (e.g., Acting as Different Stakeholders) in our tool, GeneyMAP. GeneyMAP streamlines the JM creation process, allowing designers to map interview data efficiently with flexibility, uncovering design opportunities through visual inspiration. A subsequent user study (N = 20) demonstrated that GeneyMAP, compared with the common tool, accelerated JM creation and fostered creativity mainly by providing diverse inspirations and facilitating progressive discussions. Our findings proved GeneyMAP‘s utility and effectiveness while challenges in maintaining control and trust in GenAI outputs were noted. Our research highlights the promising role of GenAI in refining JM creation practices and suggests implications for incorporating GenAI in JM and design workflows.

著者
Yihan Mei
The Hong Kong Polytechnic University, Hong Kong, Hong Kong
Zhao Wu
Politecnico di milano, Milan, Milan, Italy
Junnan Yu
The Hong Kong Polytechnic University, Hong Kong, China
Wenan Li
Information Hub, GUANGZHOU, China
Zhibin Zhou
The Hong Kong Polytechnic University, Hong Kong, China
DOI

10.1145/3706598.3713479

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713479

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Design Thinking

G316+G317
6 件の発表
2025-04-28 23:10:00
2025-04-29 00:40:00
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