In this paper, we explore the process of emotional state transition. And the process is impacted by emotional state of interaction objects. First of all, the cognitive reasoning process and the micro-expressions recog...In this paper, we explore the process of emotional state transition. And the process is impacted by emotional state of interaction objects. First of all, the cognitive reasoning process and the micro-expressions recognition is the basis of affective computing adjustment process. Secondly, the threshold function and attenuation function are proposed to quantify the emotional changes. In the actual environment, the emotional state of the robot and external stimulus are also quantified as the transferring probability. Finally, the Gaussian cloud distribution is introduced to the Gross model to calculate the emotional transitional probabilities. The experimental results show that the model in human-computer interaction can effectively regulate the emotional states, and can significantly improve the humanoid and intelligent ability of the robot. This model is consistent with experimental and emulational significance of the psychology, and allows the robot to get rid of the mechanical emotional transfer process.展开更多
Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations.Additionally,the use of big-data in tourism studies remains under...Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations.Additionally,the use of big-data in tourism studies remains under-utilized despite the boom in big-data applications and the increasing number of electronic User Generated Contents(UGC).Aiming to take advantage of tourism UGC to fully understand the destination image gap between official promotion materials and tourist perception of Sanya City in China,this study innovatively employed a big-data analysis technique,Tourism Sentiment Evaluation(TSE)model and proposed a new analysis framework integrating the“cognitive-affective”model with the gpp analysis of projected and perceived destination image to explore the destination image gap of Sanya It is found that Sanya's perceptive destination image is overall consistent with its official positioning;however,there also exist image gaps between the two groups in terms of the impact of festival events and tourists'attitude towards core scenic spots amongst others.This study's findings are discussed in light of their methodological,theoretical,and practical implications for destination positioning,marketing,and management.展开更多
文摘In this paper, we explore the process of emotional state transition. And the process is impacted by emotional state of interaction objects. First of all, the cognitive reasoning process and the micro-expressions recognition is the basis of affective computing adjustment process. Secondly, the threshold function and attenuation function are proposed to quantify the emotional changes. In the actual environment, the emotional state of the robot and external stimulus are also quantified as the transferring probability. Finally, the Gaussian cloud distribution is introduced to the Gross model to calculate the emotional transitional probabilities. The experimental results show that the model in human-computer interaction can effectively regulate the emotional states, and can significantly improve the humanoid and intelligent ability of the robot. This model is consistent with experimental and emulational significance of the psychology, and allows the robot to get rid of the mechanical emotional transfer process.
基金supported by The Ministry of education of Humanities and Social Science Project(19YJAZH060)Study on Agglomeration Pattern,Development Quality And Spatial Optimization Of Urban Leisure Industry In Guangdong-Hong Kong-Macao Greater Bay Area,supported by Guangdong Philosophical and Social Sciences Project(GD20SQ21).
文摘Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations.Additionally,the use of big-data in tourism studies remains under-utilized despite the boom in big-data applications and the increasing number of electronic User Generated Contents(UGC).Aiming to take advantage of tourism UGC to fully understand the destination image gap between official promotion materials and tourist perception of Sanya City in China,this study innovatively employed a big-data analysis technique,Tourism Sentiment Evaluation(TSE)model and proposed a new analysis framework integrating the“cognitive-affective”model with the gpp analysis of projected and perceived destination image to explore the destination image gap of Sanya It is found that Sanya's perceptive destination image is overall consistent with its official positioning;however,there also exist image gaps between the two groups in terms of the impact of festival events and tourists'attitude towards core scenic spots amongst others.This study's findings are discussed in light of their methodological,theoretical,and practical implications for destination positioning,marketing,and management.
