Distracted driving increases the risk of driving errors and accidents, and it has become the main factor leading to accidents. Currently, a large amount of information is displayed on in-vehicle panels, which possibly distract drivers' attention, diverting their gaze from the road. To minimize the negative impact of distracted driving, this study sought to optimize the design of icons presented on vehicle screens. We investigated the effect of icon size, icon position, driving state, and age on drivers' perception time, driving performance, and subjective evaluations. A total of 42 drivers (26 men and 20 women) between the ages of 22 and 70 years participated in the study, completing a simulated driving task and a secondary visual task. The results demonstrated significant main effects of icon size, driving state, icon position, and interaction effects. Participants spent a longer time perceiving smaller icons on the center control panel in the driving state. As the icon size increases, perception time decreases at a reduced speed. During the static state, perception time leveled out from 44′ while during the driving state, perception time leveled out from 80′. On the instrument panel, perception time leveled out from 60′ while on the center control panel, perception time leveled out from 80′. Subjective evaluations supported behavioral data on the effect of icon size. Our results indicated the importance of strategic design for icons on vehicle screens, which could reduce the visual workload, then reduce the risk of traffic accidents. According to the results, enterprises or designers could target the design of icon size according to different types of in-vehicle panels or screens.
Film clips are widely used in emotion research due to their relatively high ecological validity. Although researchers have established various film clip sets for different cultures, the few that exist related to Chinese culture do not adequately address positive emotions. The main purposes of the present study were to establish a standardised database of Chinese emotional film clips that could elicit more categories of reported positive emotions compared to the existing databases and to expand the available film clips that can be used as neutral materials. Two experiments were conducted to construct the database. In experiment 1, 111 film clips were selected from more than one thousand Chinese movies for preliminary screening. After 315 participants viewed and evaluated these film clips, 39 excerpts were selected for further validation. In experiment 2, 147 participants watched and rated these 39 film clips, as well as another 8 excerpts chosen from the existing databases, to compare their validity. Eventually, 22 film excerpts that successfully evoked three positive emotions (joy, amusement, and tenderness), four negative emotions (moral disgust, anger, fear, and sadness), and neutrality formed the standardised database of Chinese emotional film clips.
This paper proposes a scheduling strategy for irregular curved blocks to address the complex spatiotemporal coupling scheduling problem related to the entered time, the entered sequence, the setting positions and the rotated angles for the curved blocks in a shipbuilding yard. The strategy presents a makespan-based curved blocks – classification and selection rule to fulfil the programming time for the entry of the curved blocks into the workplace and realises the suppression on the delay. Useless stepping search of curved blocks in occupied workplace is avoided by combining the lowest centre-of-gravity rule with the calculation method of the remained workplace proposed in this paper. A modified genetic ant colony algorithm was proposed, which apply the ease to premature characteristics of GA and the excellent local optimisation ability of ACO, to let and promote the algorithm falls into local optimum. Then the large-scale and full-range mutation will be implemented to make the algorithm jump out of the original local optimisation to search more local optimal solutions so that the global optimal solution can be achieved. Finally, a software system for algorithm verification was developed which conducts the comparative analysis of the algorithms and verifies the validity of the algorithm proposed.
A novel 2-D DOA estimation algorithm of multiple wideband LFM signals is proposed which can be applied to arbitrary planar array. Based on the energy concentration property of LFM signal in fractional Fourier domain, a new array data model is constructed. By using the generalized rotation matrix defined between subarrays, the conventional ESPRIT algorithm is revised, and hence achieves the 2-D DOA estimation for arbitrary planar array. The simulation results verified the efficiency of the algorithm.
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