Pedestrian evacuation simulation in multi-exit case:An emotion and group dual-driven method

This paper analyzes the characteristics of emotion state and group behavior in the evacuation process.During the emergency evacuation,emotion state and group behavior are interacting with each other,and indivisible.The emotion spread model with the effect of group behavior,and the leader-follower model with the effect of emotion state are proposed.On this basis,exit choice strategies with the effect of emotion state and group behavior are proposed.Fusing emotion spread model,leader-follower model,and exit choice strategies into a cellular automata(CA)-based pedestrian simulation model,we simulate the evacuation process in a multi-exit case.Simulation results indicate that panic emotion and group behavior are two negative influence factors for pedestrian evacuation.Compared with panic emotion or group behavior only,pedestrian evacuation efficiency with the effects of both is lower.

Cognitive Emotion Model for Eldercare Robot in Smart Home

Based on the smart home and facial expression recognition, this paper presents a cognitive emotional model for eldercare robot. By combining with Gabor filter, Local Binary Pattern algorithm(LBP) and k-Nearest Neighbor algorithm(KNN) are facial emotional features extracted and recognized. Meanwhile, facial emotional features put influence on robot's emotion state, which is described in AVS emotion space. Then the optimization of smart home environment on the cognitive emotional model is specially analyzed using simulated annealing algorithm(SA). Finally, transition probability from any emotional state to a state of basic emotions is obtained based on the cognitive reappraisal strategy and Euclidean distance. The simulation and experiment have tested and verified the effective in reducing negative emotional state.

Ultrasonic vocalizations in mice: relevance for ethologic and neurodevelopmental disorders studies

Mice use ultrasonic vocalizations(USVs)to communicate each other and to convey their emotional state.USVs have been greatly characterized in specific life phases and contexts,such as mother isolation-induced USVs for pups or female-induced USVs for male mice during courtship.USVs can be acquired by means of specific tools and later analyzed on the base of both quantitative and qualitative parameters.Indeed,different ultrasonic call categories exist and have already been defined.The understanding of different calls meaning is still missing,and it will represent an essential step forward in the field of USVs.They have long been studied in the ethological context,but recently they emerged as a precious instrument to study pathologies characterized by deficits in communication,in particular neurodevelopmental disorders(NDDs),such as autism spectrum disorders.This review covers the topics of USVs characteristics in mice,contexts for USVs emission and factors that modulate their expression.A particular focus will be devoted to mouse USVs in the context of NDDs.Indeed,several NDDs murine models exist and an intense study of USVs is currently in progress,with the aim of both performing an early diagnosis and to find a pharmacological/behavioral intervention to improve patients’quality of life.

Emotion and Cognitive Reappraisal Based on GSRWearable Sensor

Various wearable equipment enables us to measure people behavior by physiological signals.In our research,we present one galvanic skin reaction(GSR)wearable sensor which can analyze human emotions based on cognition reappraisal.First,We research the factors of emotional state transition in Arousal-Valence-Stance(AVS)emotional space.Second,the influence of the cognition on emotional state transition is considered,and the reappraisal factor based on Gross regulation theory is established to correct the effectiveness from cognitive reappraisal ability to emotional state transition.Third,based on the previous work,we establish a GSR emotion sensing system for predicting emotional state transition and considering the correlation between GSR signals and emotions.Finally,an overall wearable sensor layout is built.In the experiment part,we invited 30 college students to wear our GSR sensors and watch 14 kinds of affective videos.We recorded their GSR signals while asking them to record their emotional states synchronously.The experiment results show different reappraisal factors can predict subjects’emotional state transition well and indirectly confirm the feasibility of the Gross regulation theory.

Towards Sensor-free Academic Emotion Prediction in Programming Environment

he transition from traditional learning to practice-oriented programming learning will bring learners discomfort.The discomfort quickly breeds negative emotions when encountering programming difficulties,which leads the learner to lose interest in programming or even give up.Emotion plays a crucial role in learning.Educational psychology research shows that positive emotion can promote learning performance,increase learning interest and cultivate creative thinking.Accurate recognition and interpretation of programming learners’emotions can give them feedback in time,and adjust teaching strategies accurately and individually,which is of considerable significance to improve effects of programming learning and education.The existing methods of sensor-free emotion prediction include emotion prediction based on keyboard dynamic,mouse interaction data and interaction logs,respectively.However,none of the three studies considered the temporal characteristics of emotion,resulting in low recognition accuracy.For the first time,this paper proposes an emotion prediction model based on time series and context information.Then,we establish a Bi-recurrent neural network,obtain the time sequence characteristics of data automatically,and explore the application of deep learning in the field of Academic Emotion prediction.The results show that the classification ability of this model is much better than that of the original LSTM(Long-Short Term Memory),GRU(Gate Recurrent Unit)and RNN(Re-current Neural Network),and this model has better generalization ability.

Emotions of Gynecologic Cancer Patients Dealing with Permanent Colostomy:A Qualitative Interview Study

Purpose: This study was conducted to describe emotional state of colostomized patients with gynecologic cancer. Patients and Methods: The study employed a qualitative design from May to October of 2010, in a private university hospitals outpatient gnecologic oncology clinic in Ankara, Turkey. Content analysis with an inductive approach had been used to analyze 32 interviews that served as the data base for this study. Interview form that focused on what gynecologic cancer women felt to living with a colostomy. Results: Findings also reveal that gynecologic cancer patients with colostomy experience many uneasy feelings that affect their emotional state. The content analysis resulted in the development of two thematic units. The first we described as “To experience the consequences of stoma as a gynecologic cancer patients”. The second was “suffering experienced-being challenged the consequences of the stoma”, and the third was “promote self management-normalization of the new condition”. For the psychological support, family and friends’ support has been mentioned as the most important part that can release their anxiety. Conclusions: We concluded that a having stoma was difficult for the women. The emotional state of the women when they get colostomy was typically characterized by fear, and worry about their current process. Body image, self-esteem, social activity, sexuality were the aspects that most affected the patients. Nurses have very important role within holistic approach and empathetic interaction, for determining major problem areas.

Exploring the Effects of Mental Imagery in the Solution Focused Approach

This study examined the effects of mental imagery in the solution-focused approach by evaluating the impact of positive self-image about the future on emotional states using the time machine question (which is a questioning technique used in the solution-focused approach). We compared the change in the emotional state of 270 participants, using the Japanese version of the Positive and Negative Affect Schedule (PANAS), before and after the intervention. The intervention conditions included: verbal description of one’s positive future on a worksheet (the language description condition), and imagining one’s positive future (the imagery condition). The results of the experiment showed that after the intervention, the scores of the imagery group on the positive and negative affect scales of the PANAS were significantly higher and lower, respectively, than those of the language description group. We also found that the amount of change in the scores of the positive and negative affect scales of the PANAS was significantly larger in the imagery group as compared to the language description group. These results indicate that interventions involving the imagining of one’s future via the time machine question of the solution-focused approach have a more direct impact on emotional states than interventions using a language description. This suggests that mental imagery plays an important role in interventions carried out within the framework of the solution-focused approach.

Tandem running by foraging Pachycondyla striata workers in field conditions vary in response to food type,food distance,and environmental conditions

Ants show collective and individual behavioral flexibility in their response to immediate context,choosing for example between different foraging strategies.In Pachycondyla striata,workers can forage solitarily or recruit and guide nestmates to larger food sources through tandem running.Although considered more ancestral and less efficient than pheromone trail-laying,this strategy is common especially in species with small colony size.What is not known is how the decision to recruit or follow varies according to the immediate context.That is,how fine adjustments in information transfer affect immediate foraging decisions at the colony level.Here,we studied individually marked workers and evaluated their foraging decisions when food items varied in nature(protein versus carbohydrate),size,and distance from the nest at different temperatures and humidity levels.Our results show that tandem run leaders and potential followers adjust their behavior according to a combination of external factors.While 84.2%of trips were solitary,most ants(81%)performed at least 1 tandem run.However,tandem runs were more frequent for nearby resources and at higher relative humidity.Interestingly,when food items were located far away,tandem runs were more successful when heading to protein sources(75%)compared with carbohydrate sources(42%).Our results suggest that the social information transfer between leaders and followers conveys more information than previously thought,and also relies on their experience and motivation.