Using voice recognition to measure trust during interactions with automated vehicles

Deng, Miaomiao; Chen, Jiaqi; Wu, Yue; Ma, Shu; Li, Hongting; Yang, Zhen; Shen, Yi

doi:10.1016/j.apergo.2023.104184

Cited by 9 publications

(1 citation statement)

References 55 publications

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“…Discriminant analysis is a technique mainly applied as a classification method. It is often used to reduce resources' dimension and extraction (Deng et al 2024;Imelda et al 2024). Discriminant analysis allows researchers to analyze differences between groups by simultaneously taking into account different variables (Silitonga et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis between Quality of Life and Human Labor in Countries Belonging to G7 and BRICS Blocks: Proposition of Discriminant Analysis Model

Girardi,

Rubbo,

Broday

et al. 2024

Economies

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The aim of the present research is to identify and analyze the variables which help to effectively differentiate Quality of Life (QoL) and human labor in the G7 (Germany, France, Italy, Canada, Japan, United Kingdom, and United States of America—USA) and BRICS countries (Brazil, Russia, India, China, and South Africa) through a discriminant analysis. A discriminant analysis model is developed to classify countries as having a low, mid, or high QoL based on QoL and human labor variables. The variables used in the discriminant analysis were obtained between 2010 and 2022 from two platforms: NUMBEO variables capable of relating QoL to socioeconomic aspects and OECD’s (Organization for Economic Cooperation and Development) human-labor-related variables. Based on the results, the three variables that most discriminate the groups in order of importance are employed women in relation to the female population, the female labor force participation rate, and the female unemployment rate. Countries are classified as having a low, mid, or high QoL. The adopted technique will allow researchers and managers to classify and draw goals for action reorganization and investment in QoL and labor.

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Section: Introductionmentioning

confidence: 99%