T/XJBX 0108-2025 Active Group standards

T/XJBX 0108-2025 Multimodal Digital Media Intelligent Interaction Design Implementation Guide

T/XJBX 0108-2025 Multimodal Digital Media Intelligent Interaction Design Implementation Guide

Publish Date: 2025-11-10 Implement Date: 2025-12-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/XJBX 0108-2025
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Multimedia systems and teleconference equipment
Publish Date: 2025-11-10
Implement Date: 2025-12-01

Scope

With the rapid development of artificial intelligence, virtual reality, augmented reality, and sensor technology, the interactive methods of multimodal digital media have gradually become an important trend in digital applications. Multimodal interaction integrates multiple information perception methods such as vision, hearing, touch, language, gestures, and physiological signals, enabling users to interact with digital systems in a natural and intuitive way. Intelligent interaction design not only enhances user experience and operational efficiency, but also shows broad application prospects in fields such as education, entertainment, medical care, industry, and public services. Traditional human-computer interaction relies heavily on single modes such as keyboard, mouse, or touchscreen input, which suffers from low operational efficiency, poor interaction naturalness, and poor user experience. With the diversified development of digital media technology, users' expectations for system interaction continue to rise, requiring interaction design to balance multi-sensory information, personalized needs, and real-time response capabilities. Against this backdrop, intelligent interaction design for multimodal digital media should fully integrate user behavior analysis, environmental perception, intelligent algorithms, and interface optimization to achieve naturalness, flexibility, and intelligence in the interaction process. Currently, there have been many achievements in multimodal intelligent interaction design in academic research and engineering applications, but there are still challenges in standardized and systematic implementation, such as the lack of norms for interaction method selection, inconsistent processing methods for perception data, the lack of standard indicators for user experience evaluation, and technical difficulties in system integration and real-time response. Therefore, formulating systematic implementation guidelines, clarifying design proc

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