Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)

2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)

📍Kunming, China🗓️ 5-7 June 2026

AIGC-Empowered UI Design of the “Piggy” APP: Innovative Practice in Intelligent Pig Farming Scenarios

Authors
Haitao Wu1, *, Ning Yu1
1College of Fine Arts & Calligraphy, Sichuan Normal University, Chengdu, China
*Corresponding author. Email: 2180713542@qq.com
Corresponding Author
Haitao Wu
Available Online 18 August 2026.
DOI
10.2991/978-94-6239-737-8_30How to use a DOI?
Keywords
AIGC; UI design; intelligent pig farming; multimodal generation; user experience
Abstract

This paper takes the UI design of the “Piggy” APP as the starting point to explore the application of AIGC (AI Generated Content) in mobile interface design for vertical domains. Aiming at the shortcomings of existing pig farming APPs, such as single function, homogeneous interface, and the disconnection between entertainment and professionalism, this paper proposes an intelligent UI design scheme based on the “Farming + Entertainment” concept. Through in-depth research on target users, we build a four-module UI structure including farming management, entertainment, social sharing and auxiliary functions, identify core user pain points via experience surveys, and define design goals covering data visualization, interactive engagement and social sharing.

Technically, we construct a multimodal intelligent UI system with Blender, liblibAI image generation model V2 and Kling 3.0 AI video platform, completing the design of core UI components such as digital characters, scene images and interactive functions. Prompt optimization and parameter adjustment are adopted to ensure the consistency of generated content and improve the UI’s aesthetics and professionalism. Iterative testing and user feedback optimization are incorporated in the design process, with quantitative and qualitative methods used to evaluate the interface’s visual appeal, usability and functionality. This work effectively solves the user experience pain points of existing pig farming APPs, balances professional farming management and entertaining interaction, and provides a new path for digital applications in intelligent pig farming, as well as a reference for AIGC-enabled design in similar vertical domain APPs.

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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Volume Title
Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
Series
Advances in Computer Science Research
Publication Date
18 August 2026
ISBN
978-94-6239-737-8
ISSN
2352-538X
DOI
10.2991/978-94-6239-737-8_30How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - Haitao Wu
AU  - Ning Yu
PY  - 2026
DA  - 2026/08/18
TI  - AIGC-Empowered UI Design of the “Piggy” APP: Innovative Practice in Intelligent Pig Farming Scenarios
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 229
EP  - 247
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_30
DO  - 10.2991/978-94-6239-737-8_30
ID  - Wu2026
ER  -