Uncovering Taxi Mobility Patterns Associated with the Public Transportation Shutdown Using Multisource Data in Washington, D.C.

Jia, Jianmin; Zhang, Hui; Shi, Baiying

doi:10.1007/s12205-022-0434-5

Cited by 1 publication

(1 citation statement)

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“…Both office clerks and software blue-collar workers seem to be worried about weakening or losing their jobs under the impact of AI technology. Even when Level 4 autonomous driving systems can be "popularized" at a price of US$30,000, more than 160 million drivers around the world actually feel the pressure [4]. However, machines themselves cannot speak and cannot tell us how they understand reality.…”

Section: Introductionmentioning

confidence: 99%

An Examination Monocular Vision Gaze Point Tracking under the Theory of 'Machines Displacing Workers' in the Philosophy of Technology

Zhou¹,

Chen²,

Lin³

et al. 2023

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With the continuous development of technology, we have the opportunity to quantitatively study the internal behaviors of personnel, such as attention, in a suitable way, in order to better solve the "machine compensation" for workers and achieve the development of human-machine fusion. An exploration of how varying lighting conditions directly affect the eyes and, by extension, the individual's attention has been undertaken in this study. Image sensors capture the subject's eye movements during task participation, with the location of the eye's (pupil's) center aiding in gaze point recognition and facilitating the quantification of attention. A quantifiable model of "lighting-attention" has been developed through controlled lighting conditions and replicable experimental circumstances, thereby studying the alteration of attention under different lighting and road conditions. An initial calibration of a monocular vision gaze tracking system was achieved with two commercialgrade eye trackers and calibration software, achieving a precision level of 2 cm. Nine college students aged 20-21, divided into male and female control test groups, exhibited similar attention characteristics under various lighting conditions. Overall, a negative correlation between illumination intensity and attention is observed when exceeding a certain threshold. On average, female participants maintained higher attention levels for longer durations. The efficacy of the model proposed in this study has been proven through a series of tests, providing a quantifiable reference for the mechanisms influencing attention. So it can provide the basis for the study of the benefits of factory workers.

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Section: Introductionmentioning

confidence: 99%