Analysis of Research Status of AI Enabled Intelligent Terminal Implementation and User Intention Interaction

Haiyang Xu

2025

Abstract

Intention interaction technology enables intelligent terminals to understand users' intentions more naturally and provide a more humanized interaction experience. Therefore, this paper systematically analyzes the application of AI-enabled intentional interaction technology in intelligent terminals, and proposes an interaction framework centered on the Intentional Understanding Interface (KUI), which covers the three major technology chains of multimodal input and output, semantic in-depth parsing, and end-cloud collaborative service reach. By analyzing some business cases and literature in related industries, the core logic of the smart terminal active service model from data collection, multimodal fusion to intent understanding as well as solving user data security issues under the intent interaction framework, is elaborated. This paper concluded that the current technology faces challenges such as fuzzy semantic dynamic parsing, multimodal spatio-temporal mismatch and arithmetic-energy balance, and summarize feasible solutions and optimization paths for the problems of fuzzy semantic understanding and data privacy. This paper provides theoretical support and practical guidance for building a zero-friction and highly trustworthy intentional interaction ecology.

Paper Citation

in Harvard Style

Xu H. (2025). Analysis of Research Status of AI Enabled Intelligent Terminal Implementation and User Intention Interaction. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 102-108. DOI: 10.5220/0014321700004718

in Bibtex Style

@conference{emiti25,
author={Haiyang Xu},
title={Analysis of Research Status of AI Enabled Intelligent Terminal Implementation and User Intention Interaction},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={102-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014321700004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Analysis of Research Status of AI Enabled Intelligent Terminal Implementation and User Intention Interaction
SN - 978-989-758-792-4
AU - Xu H.
PY - 2025
SP - 102
EP - 108
DO - 10.5220/0014321700004718
PB - SciTePress