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Efficient apoptosis via double-strand breaks of DNA in human epithelial cells induced by non-thermal effect of high-field broadband terahertz waves
Isotopic and defect analysis of enriched molybdenum oxide using EPR spectroscopy and DFT simulation
Development and preliminary evaluation of real-time PCR assays for six lactic acid bacteria
Patient profiles, incidence and trends of lung cancer in Ethiopia from 2012 to 2023 using a cancer registry
Integrated safety and microbiota profiling of fulvic acid formulations across in vitro and in vivo models
Biofilms of Bacillus subtilis as biostimulants for plant resilience to drought and flooding
Secure, scalable, and interoperable healthcare data exchange using layer-2 ZK-rollups, smart contracts, and IPFS
Lung ultrasound B-line quantification in CTD-ILD: a cross-sectional single-center observational study
Agreement between Scheimpflug-based optical biometer with partial coherence interferometry in patients with keratoconus
Research on the molecular mechanism of celastrol targeting CTNNB1/STAT3 to inhibit uveal melanoma based on network pharmacology and multi-omics analysis
Damage identification of reinforced concrete structure based on CNN-ICSA-GWELM model
Clinical characteristics and associated complications in diabetic patients with Grade 1 stress injury based on a TriNetX Retrospective Study
Sustainable operation of multi-energy systems under cooperative and non-cooperative strategies
Effects of dance mindfulness and combined interventions on social anxiety in left behind rural adolescents: a randomized controlled trial
Differences in red blood cell fatty acid profiles by type 2 diabetes status in early-stage chronic kidney disease
Combining response surface methodology and measurement system analysis to identify melt flow index of hygrothermal-sensitive composites
Optical coherence tomography and histological assessment of cutaneous vasculature and neural changes in long-term smokers: an exploratory study
An innovative data mining-driven optimisation modelling approach based on TAM for the design of elderly-centric ICT products
Abstract To enhance the quality of life and health of the elderly, it is necessary to incorporate their specific needs into the design and manufacturing processes of Information and Communication Technology (ICT) products. However, these needs are often overlooked in product development, leading to poor user experiences and low adoption rates. To address this important issue, this study innovatively proposes a data mining-driven optimisation modelling approach. This approach first extracts key design elements from online reviews of elderly ICT products through text mining techniques such as data purification and Latent Dirichlet Allocation (LDA). These elements are then incorporated as external variables to construct a user needs integrated technology acceptance model (UN-TAM) for the elderly, which is validated using Structural Equation Modelling (SEM). Using the elderly smartwatch as a case study, four design optimisation parameters, functional architecture, human-computer interface, morphological aesthetics, and interaction mode, were extracted from a substantial database based on the elderly user comments. The proposed model establishes a quantitative mapping relationship among “design parameters, user perception, and behavioral intention”. The results indicate that these design parameters significantly influence the product acceptance through three distinct pathways: perceived ease of use (γ = 0.641, p < 0.001), perceived usefulness (γ = 0.601, p < 0.001), and perceived enjoyment (γ = 0.402, p < 0.001). Specifically, functional architecture of the elderly-centric ICT products has the most substantial impact on perceived usefulness while the other three parameters predominantly influence perceived ease of use. The proposed data mining-driven optimisation modelling approach can be effectively used in designing and manufacturing elderly-centric ICT products.