Data-Driven User Insights: Using AI to Shape Function, Interaction, and Product Value
Main Article Content
Abstract
Artificial intelligence (AI) has become a part of human life. AI applications can be used for many purposes. One such application is designing products according to changing customer needs and expectations. Products can be designed to shape their functions and interaction with customers to perceive higher value, so that they derive satisfaction by purchasing and using such products.
This study aimed to examine how AI-driven insights affect product function, interaction design, and perceived value. Five objectives and corresponding hypotheses were formed for the purpose of selecting the methodology.
A survey of 456 technology product users aged 18-65 years residing in major urban centres (Riyadh, Jeddah, Dammam, Mecca, and Medina) was conducted to measure demographics (7 items: Age, gender, education, occupation, income, region, and technology usage frequency),
AI Awareness and Attitudes (12 items: understanding of AI, perceptions of AI-driven products, trust levels), Product Functionality Assessment (15 items: Feature satisfaction, functionality effectiveness, customisation capabilities), Interaction Design Evaluation (18 items: Usability metrics, interface satisfaction, interaction efficiency), and Perceived Product Value (14 items: Quality perception, value for money, recommendation likelihood).
The findings supported all five hypotheses. Thus, the following conclusions were derived from the results and discussions: