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This study investigated the effect of age and gender on mobile phone users' texting satisfaction, focusing on text entry factors. Structured questionnaire interviews were used to interview 18 subjects of both genders, aged between 17–37 years. Analysis of variance was computed. Gender effect was found on the speed of text entry method (p = 0.027), with the(More)
Quality, productivity, occupational health and safety and cost effectiveness of ergonomic improvements in the test workstations of an electronic factory Abstract An ergonomic study was conducted to improve the workstations for electrical tests in a printed circuit assembly (PCA) factory in an industrially developing country (IDC). Subjective assessment and(More)
An ergonomics improvement study was conducted on the visual inspection process of a printed circuit assembly (PCA) factory. The process was studied through subjective assessment and direct observation. Three problems were identified: operators' eye problems, insufficient time for inspection and ineffective visual inspection. These problems caused a huge(More)
A total of 110 participants were interviewed to investigate the effect of hand measurements and gender on mobile phone messaging satisfaction. Physical measurements of hand-size and thumbs were recorded. This study focused on mobile phone keypad design factors; namely, key size, shape, texture, space between keys, layout and keypad simplicity. Females were(More)
The study aimed to conduct an ergonomic intervention on a conventional line (CL) in a semiconductor factory in Malaysia, an industrially developing country (IDC), to improve workers' occupational health and safety (OHS). Low-cost and simple (LCS) ergonomics methods were used (suitable for IDCs), e.g., subjective assessment, direct observation, use of(More)
Determining the predictors and a cross-gender analysis for messaging satisfaction. A total of 110 youths were interviewed to determine the important predictors for mobile phone messaging satisfaction based on the mobile phone design and health effect factors. A cross-gender analysis was also performed to analyze the gender differences towards messaging(More)
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