Visual Encroachment in AI-Enabled Digital Commercial Interfaces

DOI

10.2991/978-94-6239-830-6_13How to use a DOI?

Keywords

digital commercial interfaces; visual encroachment; AI-enabled media design; attention capture; behavioral datafication; data anchoring; user evasion; interface ethics

Abstract

In contemporary commercial space, digital visual interfaces combine attention capture, interface-mediated interaction, and behavioral datafication. This paper uses visual encroachment as an analytical term for how digital commercial interfaces occupy perceptual space while inviting users into platform-mediated action. The issue is therefore not only advertising clutter or visual disturbance. It also appears through QR-code prompts, mobile service entrances, digital screens, membership registration, location requests, and app-based promotional routines. Based on conceptual analysis and repeated nonparticipant observations in Guangzhou’s Shangxiajiu and Shipaiqiao commercial districts, the paper develops a spatial-interface-data framework to examine how visible commercial interfaces create conditions under which visual exposure may become data-relevant interaction. It identifies three mechanisms: the infrastructuralization of digital commercial interfaces, conditional data anchoring, and interface pathways toward predictive commercial organization. It also discusses user evasion practices, including gaze diversion, permission refusal, data obfuscation, and algorithmic misdirection. The argument contributes to AI-enabled media design by showing how ordinary promotional interfaces may operate as spatial objects, interactional prompts, and data-pathway infrastructures.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiahui Zeng
PY  - 2026
DA  - 2026/11/14
TI  - Visual Encroachment in AI-Enabled Digital Commercial Interfaces
BT  - Proceedings of the 6th International Conference on Internet Finance and Digital Economy (ICIFDE 2026)
PB  - Atlantis Press
SP  - 156
EP  - 164
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-830-6_13
DO  - 10.2991/978-94-6239-830-6_13
ID  - Zeng2026
ER  -