An innovative data mining-driven optimisation modelling approach based on TAM for the design of elderly-centric ICT...

Area of Science:

• Human-Computer Interaction
• Gerontology
• Data Mining

Background:

• Information and Communication Technology (ICT) product design often overlooks the specific needs of the elderly, resulting in poor user experiences and low adoption rates.
• Incorporating elderly needs into ICT design is crucial for enhancing their quality of life and health.

Purpose of the Study:

• To propose an innovative data mining-driven optimization modeling approach for designing elderly-centric ICT products.
• To establish a quantitative relationship between design parameters, user perception, and behavioral intention for older adults.

Main Methods:

• Text mining techniques, including data purification and Latent Dirichlet Allocation (LDA), were used to extract key design elements from online reviews of elderly ICT products.
• A user needs integrated technology acceptance model (UN-TAM) was constructed with these elements as external variables and validated using Structural Equation Modelling (SEM).
• A case study of an elderly smartwatch was conducted, extracting four design parameters: functional architecture, human-computer interface, morphological aesthetics, and interaction mode.

Main Results:

• The study identified four key design parameters influencing product acceptance in the elderly: functional architecture, human-computer interface, morphological aesthetics, and interaction mode.
• These parameters significantly impact product acceptance through perceived ease of use (γ=0.641), perceived usefulness (γ=0.601), and perceived enjoyment (γ=0.402).
• Functional architecture most significantly impacts perceived usefulness, while the other three parameters primarily influence perceived ease of use.

Conclusions:

• The proposed data mining-driven optimization modeling approach effectively bridges the gap between design parameters and user acceptance for elderly-centric ICT products.
• This methodology provides a valuable tool for designing and manufacturing ICT products that better meet the needs and enhance the experience of older adults.