Linguistic Dead-Ends and Alphabet Soup: Finding Dark Patterns in Japanese Apps

要旨

Dark patterns are deceptive and malicious properties of user interfaces that lead the end-user to do something different from intended or expected. While now a key topic in critical computing, most work has been conducted in Western contexts. Japan, with its booming app market, is a relatively uncharted context that offers culturally- and linguistically-sensitive differences in design standards, contexts of use, values, and language, all of which could influence the presence and expression of dark patterns. In this work, we analyzed 200 popular mobile apps in the Japanese market. We found that most apps had dark patterns, with an average of 3.9 per app. We also identified a new class of dark pattern: “Linguistic Dead-Ends” in the forms of “Untranslation” and “Alphabet Soup.” We outline the implications for design and research practice, especially for future cross-cultural research on dark patterns.

著者
Shun Hidaka
Tokyo Institute of Technology, Meguro, Tokyo, Japan
Sota Kobuki
Tokyo Institute of Technology, Meguro, Tokyo, Japan
Mizuki Watanabe
Tokyo Institute of Technology, Meguro, Tokyo, Japan
Katie Seaborn
Tokyo Institute of Technology, Tokyo, Japan
論文URL

https://doi.org/10.1145/3544548.3580942

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: (Un)Ethical Design

Hall E
6 件の発表
2023-04-26 01:35:00
2023-04-26 03:00:00