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As an important way of human-computer interaction, the dialogue system has broad application prospects. Existing dialogue systems focus on solving problems such as semantic consistency and content richness and paying little attention to improving human-computer interaction and human-computer resonance. How to make the generated sentences communicate with users more naturally on the basis of semantic relevance is one of the main problems in current dialogue system. First, it summarizes the overall situation of the dialogue system. Then it introduces the two major tasks of dialogue emotion perception and emotional dialogue generation in the emotional dialogue system. And further it investigates and summarizes related methods respectively. Dialogue emotion perception tasks are roughly divided into context-based and user-based methods. The emotional dialogue generation methods include rule matching algorithms, specified emotional response generation models, and non-specified emotional response generation models. The models are compared and analyzed in terms of emotional data categories and model methods. Next, for subsequent research, it summarizes characteristics and links of the data sets under the two major tasks. Further, different evaluation methods in the current emotional dialogue system are summarized. Finally, the work of the emotional dialogue system is summarized and prospected.

Background: Chronic actinic dermatitis (CAD) is an immune‐mediated photo‐allergic skin disease. In the clinic, the treatment of this disease is hampered by the lack of proper understanding of the skin barrier dysfunction mechanism. Objective: To illuminate the mechanism of skin barrier dysfunction in CAD. Methods: Transcriptome sequencing and protein profiling were used to detect skin barrier injury‐related genes. RNA pull down, a promoter‐reporter gene assay, and chromatin isolation by RNA purification‐sequencing were used to elucidate the effect of WAKMAR2 in skin barrier functionality. Results: Transcriptome sequencing from patient's tissues showed a significantly decreased expression of WAKMAR2. Down‐regulation of WAKMAR2 destroyed the keratinocyte barrier. Moreover, WAKMAR2 can directly bind to the c‐Fos protein. This novel long non‐coding RNA (LncRNA)‐protein complexes were targeted to the CLDN1 promotor. Overexpression of WAKMAR2 enhanced the promoter activity of CLDN1, while the addition of AP‐1 inhibitor could reverse this phenomenon. Furthermore, our in vivo results suggested that expression of WAKMAR2 was required for the repair of skin damage in mice induced by ultraviolet irradiation. Conclusions: We identified a crucial LncRNA (WAKMAR2) for the protection of the skin barrier in vitro and in vivo. Mechanically, it can specifically interact with c‐Fos protein for the regulation of CLDN1, a finding which could be applied for CAD treatment. [ABSTRACT FROM AUTHOR]

In most of fire evacuation, people follow the walls. The reasons behind this escape behavior have not been verified by experiments. In this article, we design a virtual reality (VR) fire evacuation game with realistic virtual environment to explore the effects of smoke concentration, individual familiarity with the environment, and neighbor behavior on individual wall‐following behavior. Individuals' familiarity with the environment is obtained through experimental training and the frequencies of their behavior along the wall at different smoke concentrations are recorded. From a subjective perspective, we use the presence scale to assess the immersion of the designed VR game. The results show that users have a good level of presence in the designed VR game. From an objective perspective, we analyze the game data using a statistically based approach. The analysis shows that high concentration of smoke, unfamiliar with the environment will increase individuals' reliance on walls, but neighbor behavior along the wall has no significant effect on individual wall‐following behavior. [ABSTRACT FROM AUTHOR]

Crowd gathering places often have greater safety hazards. When an emergency occurs, crowd stampeding accidents are prone to occur at the exit of public places. Aiming at this phenomenon, a stampeding model is designed. First, the fall of pedestrians during the stampeding process is divided into three types: fell into a coma, pushed to the ground, and tripped by a pedestrian; on this basis, the rules for determining a pedestrian fall and the conditions for a pedestrian to stand again after a fall are set. The rules for determining pedestrian falls incorporate an improved social force model. The improved social force model considers the impact of falling pedestrians on standing pedestrians. During the simulation process, several factors affecting crowd trampling are analyzed, including exit width, average pedestrian speed, friction coefficient of playground plastic runway, psychological effect coefficient, and angle of knock down obstruction. The simulation results show that the smaller the exit width, the faster the average speed of pedestrians, and the smaller the friction coefficient of the playground's plastic track, the more likely it is for stampeding events to occur. After the psychological effect coefficient and the angle of knock down obstruction exceed a certain threshold, the stampeding phenomenon will be significantly reduced. [ABSTRACT FROM AUTHOR]

Simulation of behaviors in emergencies is an interesting subject that helps to understand evacuation processes and to give out warnings for contingency plans. Individual and crowd behaviors in the earthquake are different from those under normal circumstances. Panic will spread in the crowd and cause chaos. Without considering emotion, most existing behavioral simulation methods analyze the movement of people from the point of view of mechanics. After summarizing existing studies, a new simulation method is discussed in this paper. First, 3D virtual scenes are constructed with the proposed platform. Second, an individual cognitive architecture, which integrates perception, motivation, behavior, emotion, and personality, is proposed. Typical behaviors are analyzed and individual evacuation animations are realized with data captured by motion capture devices. Quantitative descriptions are presented to describe emotional changes in individual evacuation. Facial expression animation is used to represent individuals' emotions. Finally, a crowd behavior model is designed on the basis of a social force model. Experiments are carried out to validate the proposed method. Results showed that individuals' behavior, emotional changes, and crowd aggregation can be well simulated. Users can learn evacuation processes from many angles. The method can be an intuitional approach to safety education and crowd management. [ABSTRACT FROM AUTHOR]