In order to make full use of the driver’s long-term driving experience in the process of perception, interaction and vehicle control of road traffic information, a driving behavior rule extraction algorithm based on ...In order to make full use of the driver’s long-term driving experience in the process of perception, interaction and vehicle control of road traffic information, a driving behavior rule extraction algorithm based on artificial neural network interface(ANNI) and its integration is proposed. Firstly, based on the cognitive learning theory, the cognitive driving behavior model is established, and then the cognitive driving behavior is described and analyzed. Next, based on ANNI, the model and the rule extraction algorithm(ANNI-REA) are designed to explain not only the driving behavior but also the non-sequence. Rules have high fidelity and safety during driving without discretizing continuous input variables. The experimental results on the UCI standard data set and on the self-built driving behavior data set, show that the method is about 0.4% more accurate and about 10% less complex than the common C4.5-REA, Neuro-Rule and REFNE. Further, simulation experiments verify the correctness of the extracted driving rules and the effectiveness of the extraction based on cognitive driving behavior rules. In general, the several driving rules extracted fully reflect the execution mechanism of sequential activity of driving comprehensive cognition, which is of great significance for the traffic of mixed traffic flow under the network of vehicles and future research on unmanned driving.展开更多
The current study, based on Semiotic Theory, Conceptual Metaphor Theory, and a situational induced research method, explores the influence of the hand-over-chest gesture when it comes to perceptions and behaviors of i...The current study, based on Semiotic Theory, Conceptual Metaphor Theory, and a situational induced research method, explores the influence of the hand-over-chest gesture when it comes to perceptions and behaviors of integrity within the Chinese cultural context. Three different experiments consistently prove that the hand-over-chest gesture is associated with the concept of integrity in the Chinese culture, and helps to increase individuals’ sense and behavior of integrity. In Experiment 1, the target person performing the hand-over-chest gesture was regarded as an integrity person. In Experiment 2, the statements in the self-introduction from an interviewee who performed the hand-overchest gesture were considered more credible than the statements made by the interviewee with the control gesture. In Experiment 3, compared with those performing the control gesture, the participants with the hand-over-chest gesture gave more honest ratings to the least unattractive women and refrained from telling white lies. All the three experiments achieved statistically significant results. The results in this study indicate that the handover-chest gesture is the symbolic body language for Chinese college students to express integrity, triggering more trust in gesture makers and less white lies from the gesture makers themselves. This paper raises suggestions for further research on this topic as well.展开更多
基金Project(2017YFB0102503)supported by the National Key Research and Development Program of ChinaProjects(U1664258,51875255,61601203)supported by the National Natural Science Foundation of China+1 种基金Projects(DZXX-048,2018-TD-GDZB-022)supported by the Jiangsu Province’s Six Talent Peak,ChinaProject(18KJA580002)supported by Major Natural Science Research Project of Higher Learning in Jiangsu Province,China
文摘In order to make full use of the driver’s long-term driving experience in the process of perception, interaction and vehicle control of road traffic information, a driving behavior rule extraction algorithm based on artificial neural network interface(ANNI) and its integration is proposed. Firstly, based on the cognitive learning theory, the cognitive driving behavior model is established, and then the cognitive driving behavior is described and analyzed. Next, based on ANNI, the model and the rule extraction algorithm(ANNI-REA) are designed to explain not only the driving behavior but also the non-sequence. Rules have high fidelity and safety during driving without discretizing continuous input variables. The experimental results on the UCI standard data set and on the self-built driving behavior data set, show that the method is about 0.4% more accurate and about 10% less complex than the common C4.5-REA, Neuro-Rule and REFNE. Further, simulation experiments verify the correctness of the extracted driving rules and the effectiveness of the extraction based on cognitive driving behavior rules. In general, the several driving rules extracted fully reflect the execution mechanism of sequential activity of driving comprehensive cognition, which is of great significance for the traffic of mixed traffic flow under the network of vehicles and future research on unmanned driving.
基金research achievement of 2017 Jiangsu “Qinglan Project” Outstanding Teaching Team,“College English Teaching Team of Soochow University”(SR10400117)
文摘The current study, based on Semiotic Theory, Conceptual Metaphor Theory, and a situational induced research method, explores the influence of the hand-over-chest gesture when it comes to perceptions and behaviors of integrity within the Chinese cultural context. Three different experiments consistently prove that the hand-over-chest gesture is associated with the concept of integrity in the Chinese culture, and helps to increase individuals’ sense and behavior of integrity. In Experiment 1, the target person performing the hand-over-chest gesture was regarded as an integrity person. In Experiment 2, the statements in the self-introduction from an interviewee who performed the hand-overchest gesture were considered more credible than the statements made by the interviewee with the control gesture. In Experiment 3, compared with those performing the control gesture, the participants with the hand-over-chest gesture gave more honest ratings to the least unattractive women and refrained from telling white lies. All the three experiments achieved statistically significant results. The results in this study indicate that the handover-chest gesture is the symbolic body language for Chinese college students to express integrity, triggering more trust in gesture makers and less white lies from the gesture makers themselves. This paper raises suggestions for further research on this topic as well.
