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Study on the Influence of Rural Highway Landscape Green Vision Rate on Driving Load Based on Factor Analysis

Year: 2025 | Published by: School of Civil Engineering Architecture and the Environment, Hubei University of Technology, Wuhan 430068, China , Key Laboratory of Intelligent Health Perception and Ecological Restoration of Rivers and Lakes, Ministry of Education, Hubei University of Technology, Wuhan 430068, China

Authors: Hao Li, Jiabao Yang, Heng Jiang

The green vision rate of rural highway greening landscape is a key factor affecting the driver’s visual load. Based on this, this paper uses the eye tracking method to study the visual characteristics of drivers in different green vision environments on rural highways in Xianning County. Based on the HSV color space model, this paper obtains four sections of rural highway with a green vision rate of 10~20%, green vision rate of 20~30%, green vision rate of 30~40%, and green vision rate of 40~50%. Through the real car test, the pupil area, fixation time, saccade time, saccade angle, saccade speed, and other visual indicators of the driver’s green vision rate in each section were obtained. The visual load quantization model was combined with factor analysis to explore the influence degree of the green vision rate in each section on the driver’s visual load. The results show that the visual load of the driver in the four segments with different green vision rate is as follows: Z10~20% > Z20~30% > Z30~40% > Z40~50%. When the green vision rate is 10~20%, the driver’s fixation time becomes longer, the pupil area becomes larger, the visual load is the highest, and the driving is unstable. When the green vision rate is 40% to 50%, the driver’s fixation time and pupil area reach the minimum, the visual load is the lowest, and the driving stability is the highest. The research results can provide theoretical support for the design of rural highway landscape green vision rate and help to promote the theoretical research of traffic safety.

Eye Tracking Glasses
Software

2 versions available

AcE-Bs2019LangkawiIsland

Year: 2019

Authors: NH Buari, ANF Md

Reading efficiency is one of the main concerns among the teachers, publishers, and also eye care practitioners. The size of the text was among factor that might affect the reading. The eye movement behaviour was studied in six different text legibility. The saccades and fixation were recorded and tracked among twenty-five university students. Significant changes in eye movements behaviour in term of saccades and fixations occurred when the university students read passages with different text legibility. The eye movements behaviour was able to adapt to the changes in shape, and size of presented reading materials for better understanding of reading.

Eye Tracking Glasses
Software

8 versions available

Eye movement synthesis with 1/

Year: 2015

Authors: A Duchowski,S Jörg, A Lawson, T Bolte

Eye movements are an essential part of non-verbal behavior. Non-player characters (NPCs), as they occur in many games, communicate with the player through dialogues and non-verbal behavior and can have a strong influence on the player experience or even on gameplay. In this paper we propose a procedural model to synthesize the subtleties of eye motions. More specifically, our model adds microsaccadic jitter and pupil unrest both modeled by 1/ f or pink noise to the standard main sequence. In a perceptual two-alternative forced-choice (2AFC) experiment we explore the perceived naturalness of different parameters of pink noise by comparing synthesized motions to rendered motion of recorded eye movements at extreme close shot and close shot distances. Our results show that, on average, data-driven motion is perceived as most natural, followed by parameterized pink noise, with motion lacking microsaccadic jitter being consistently selected as the least natural in appearance.

Eye Tracking Glasses
Software

2 versions available

HCI 2011

Year: 2011

Authors: H Orlando, B Creek

The dramatic success of social media such as Facebook, Twitter, YouTube, blogs, and traditional discussion groups empowers individuals to become active in local and global communities. Some enthusiasts believe that with modest redesign, these technologies can be harnessed to support national priorities such as healthcare/wellness, disaster response, community safety, energy sustainability, etc. However, accomplishing these ambitious goals will require long-term research to develop deep science foundations and extreme technology strategies. The enduring questions of how to motivate participation, increase social trust, and promote collaboration remain grand challenges even as the technology rapidly evolves. This talk invites researchers across multiple disciplines to participate in inspirational prototypes, innovative evaluations, and robust technologies.

Eye Tracking Glasses
Software

1 version available: