Intelligent Application Design for Hill Climbing Users Based on Scene Interaction

FENG Xuanran, LYU Jingwen, LI Yongchang

Packaging Engineering ›› 2024, Vol. 45 ›› Issue (22) : 174-182.

PDF(2894 KB)
PDF(2894 KB)
Packaging Engineering ›› 2024, Vol. 45 ›› Issue (22) : 174-182. DOI: 10.19554/j.cnki.1001-3563.2024.22.017

Intelligent Application Design for Hill Climbing Users Based on Scene Interaction

  • FENG Xuanran1, LI Yongchang1, LYU Jingwen2
Author information +
History +

Abstract

The work aims to explore the application of scene interaction in the design of intelligent applications for hill climbing, to meet the physiological and psychological needs of hill climbing users, and improve the user's hill climbing experience. Firstly, based on the background of the current trend of intelligent application use under the current digital technology, the user survey and analysis were carried out in the objective scenario through the questionnaire method and the interview method; Secondly, the design elements in the target scene were stratified according to the three-level theory of emotional experience by combining the typical character model and the existing hill climbing application analysis, the AHP method was used to establish an analytic hierarchy process model in the actual scene, and the weight results of the design index were obtained. According to the weight results, the optimal design scheme of the intelligent application for hill climbing was obtained, and the design practice was carried out. The scene interaction design method is used to construct the design process, analyze the user needs and design indicators, and realize the interaction and integration between the hill climbing user and the intelligent application.

Key words

scene interaction; user need; intelligence; hill climbing application; AHP

Cite this article

Download Citations
FENG Xuanran, LYU Jingwen, LI Yongchang. Intelligent Application Design for Hill Climbing Users Based on Scene Interaction[J]. Packaging Engineering. 2024, 45(22): 174-182 https://doi.org/10.19554/j.cnki.1001-3563.2024.22.017
PDF(2894 KB)

Accesses

Citation

Detail

Sections
Recommended

/