Behavior monitoring model of kitchen staff based on YOLOv5l and DeepSort techniques

Although the monitoring system has been widely used, the actual monitoring task still needs more manpower to complete. This paper takes yolov5l model and deep sort algorithm as the basic framework to identify and track the staff in kitchen environment. We apply a relation construction with detected items and people, then label the relation corresponding to behaviors violate the regulations of kitchen, such as the staff did not wear mask or hat. We train our model and the experimental results show that the model can correctly identify the inappropriate behaviors of staff. The model achieves the time-constrained accuracy of 95.32% in identifying whether the staff wear a hat or not, and the time-constrained accuracy of 96.32% in identifying whether the staff wear mask correctly. The result shows that the proposed model could fulfil monitoring task in this kitchen environment.

ARTIFICIAL LEARNING-BASED PROCTORING SOLUTION FOR REMOTE ONLINE ASSESSMENTS: “VPROCTOR”

Technological developments have paved the way for courses, trainings and assessments to be made online remotely in education and employment. In the meantime, over the years, the demand for online distance learning has increased rapidly. Eventually, it has been seen that this is a necessity and it has become widespread during the COVID-19 pandemic period. As can be seen in the example of massive online open courses, although remote learning is carried out online, perhaps the most important problem is how to evaluate the relevant courses safely and reliably. Thus, remote online proctoring is becoming an increasingly popular and needed issue. In this study, the issue of conducting the examination remotely online via internet-connected video and audio communication will be evaluated. Furthermore, the solution called vProctor was developed to contribute to the elimination of deficiencies in remote online proctoring using artificial learning. Overall, it has been observed that the proposed solution is managed to determine inappropriate behaviors like cheating in the online assessments.

Alteration of Behavioral Inhibitory Control in High-Altitude Immigrants

Behavioral inhibitory control (BIC) acts as a key cognitive ability, which is essential for humans to withhold inappropriate behaviors. Meanwhile, many studies reported that long-term exposure to high altitude (HA) may affect cognitive ability. However, it is not clear whether long-term exposure to HAs may affect the BIC of an individual. To clarify the role of altitude in the behavioral control of adults and the underlying neural mechanism, we explored the BIC neural activity profiles of healthy immigrants from low-altitude (LA) regions to HA regions. Combining a two-choice oddball paradigm and electrophysiological techniques, this study monitored the N2 and P3 event-related components and neural oscillations across LA and HA groups. Results showed longer reaction times (RTs) for the HA group than the LA group. Relative to the LA group, lower N2 and P3 amplitudes were observed for the HA group. Significant positive correlations were also found between P3 amplitude and theta/delta band power across both groups. Importantly, lower theta/delta band powers were only observed for the HA group under the deviant condition. Collectively, these findings suggest that long-term exposure to HAs may attenuate BIC during the response inhibition stage and provide valuable insights into the neurocognitive implications of environmental altitude on BIC.

Athletes’ and Coaches’ Impressions of Questionable Coaching Practices and Bullying (Emotional Abuse)

Coaches have a profound and long-lasting impact on the athletes they coach. Coaches’ behavior affects athlete anxiety, stress levels, burnout, and eventually, their mental health. This study aimed at gathering relevant information on coaches’ use of inappropriate behaviors towards athletes as reported by athletes and to make comparisons between the responses of the athletes in this study with those of coaches in a previous study. Participants were 251 college students from ten midwestern states who completed a 25-item survey that included a listing of coaching actions described as bullying. Three specific research questions guided the study: 1) has your coach ever done the identified action to you, 2) do you think this is an inappropriate coaching action, and 3) do you consider this bullying. Results indicate that athletes and coaches’ interpretation of the frequency of inappropriate actions, if the actions are considered inappropriate, and if the actions are considered bullying are markedly different. Athletes were more likely to report that the various physical, relational, and verbal actions occurred than were coaches. Keywords: coaching, bullying, athletes, inappropriate

What Determines Pig Farmers’ Epidemic Coping Behaviors: A Qualitative Analysis of Endemically Infected Areas in Relation to African Swine Fever

An animal epidemic is a big threat for economic development that may seriously disturb the breeding industry and people’s normal life. The most effective approach so far for epidemic control is biosecurity, zoning, culling animals exposed, and other relevant measures, which highly demands the cooperation of farmers in epidemic areas. However, an uncooperative phenomenon among individual farmers facing an epidemic has been recorded for a long time and includes unwilling to report the epidemic and selling infected pork. It is important to unravel the determinants of farmers’ coping behaviors during an animal epidemic outbreak and use corresponding strategies to reduce farmers’ inappropriate behaviors. Taking African Swine Fever (ASF) crisis as an example, this study aimed to reveal the determinants and underlying mechanism of pig farmers’ coping behaviors. We adopted qualitative interviews with 45 pig farmers across four endemically infected areas in Hunan provinces, and the data collected were subjected to a grounded theory analysis. Our results showed that emergency response, information sources, and information channels jointly affected pig farmers’ epidemic risk perception and their perception of coping behaviors. Meanwhile, both the characteristics of the government and pig farmers moderated this affect. Consequently, by processing information through either a heuristic or an analytical path, pig farmers’ behavioral intention was transformed into actual coping behaviors. Our study emphasizes the value of sufficient risk communication, proper compensation policies, and strong public trust in the government for improving the farmers’ participation in the epidemic response. Theoretical and practical implications to animal epidemic prevention and control are provided.

How Do You Behave at the Zoo? A Look at Visitor Perceptions of Other Visitors' Behavior at the Zoo

Previous research regarding behaviors of zoo visitors near exhibits has shown that they can influence animals’ well-being. What is unclear is whether people’s views concerning the purpose of zoos or their beliefs might influence their perception of what is acceptable behavior when visiting the zoo. In this study, we used naturalistic observation to examine zoo visitor behavior near specific exhibits. We also surveyed visitors regarding the purpose of zoos, their perception of animals and the zoo, and if they have seen inappropriate behavior in other zoo visitors. We observed visitors engaging in various inappropriate behaviors such as hitting the glass and trying to provoke the animals. These same inappropriate behaviors were also reported by visitors in our survey, indicating an awareness of what behaviors might be disruptive to animals. Visitors who reported similarities between humans and animals reported more inappropriate behaviors in others partially due to having more empathy for animals. When asked to consider the purpose of the zoo, education and conservation were ranked as being the most important, entertainment and research the least important priorities. However, of those who identified entertainment as most important, this group also reported humans to have less similarity with animals and reported less inappropriate behaviors in other visitors. Our findings suggest that zoo visitors’ views regarding the purpose of zoos and perceived human similarities to animals influence what they considered inappropriate behavior around captive zoo animals. This study provides the first exploration concerning the perception of visitors regarding other visitor behaviors directed towards zoo animals.

Social Norms Matter: University Students’ Misbehaviors in the Metro Carriage

Metro travelers’ travel experience is highly influenced by fellow passengers’ misbehaviors such as eating or littering in the carriage and sound blaster, which are common in the metro carriage. Although operators have implemented various regulations to reduce misbehavior, little theoretical research has investigated such behavior motivators to provide targeted guidelines for specific passenger segments. To this end, this study explores how demographic and perceived social norms of university students affect their misbehaviors, i.e., eating in the carriage, public display of affection, sound blaster, cross-legged sitting, leaning against the pole, and littering, in the metro carriage of Shanghai, China. With the structural equation model, it is revealed that both injunctive and descriptive norms impose significant impacts on passengers’ inappropriate behaviors, with the effect of the former generally to a greater degree. Gender heterogeneity in passenger misbehavior is also observed, where males significantly perform better in eating in the carriage and cross-legged sitting. These findings may decode the underlying motivation of passenger misbehaviors and provide guidelines for effective intervention with targeted policy design and implementation.

Building a Reputation Attack Detector for Effective Trust Evaluation in a Cloud Services Environment

Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is versatile, and extensive amounts of data can be stored in the cloud. Businesses can access various services over the cloud without having to install applications. However, cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Although there are a number of advantages to cloud computing services, especially for business owners, various challenges are posed in terms of the privacy and security of information and online services. A threat that is widely faced in the cloud environment is the on/off attack, in which entities exhibit proper behavior for a given time period to develop a positive reputation and gather trust, after which they exhibit deception. Another threat often faced by trust management services is a collusion attack, which is also known as collusive malicious feedback behavior. This is carried out when a group of people work together to make false recommendations with the intention of damaging the reputation of another party, which is referred to as a slandering attack, or to enhance their own reputation, which is referred to as a self-promoting attack. In this paper, a viable solution is provided with the given trust model for preventing these attacks. This method works by providing effective security to cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on/off attacks and collusion attacks by applying different security criteria. Finally, the results show that the proposed trust model system can provide high security by decreasing security risk and improving the quality of decisions of data owners and cloud operators.

Effect of body-gender transfer in virtual reality on the perception of sexual harassment

While sexual harassments are inappropriate behaviors in the society, the interpretation of and sensitivity toward sexual harassment can vary by individual. Differences across individuals, such as gender, may influence whether one interprets an action to be sexually harassing or not. Virtual reality technology enables human behavior assessment without interfacing with physical danger. The present work examined whether gender and body-gender transfer in VR influenced the perception of sexually harassing behaviors, and explored the utility of emerging technology in increasing one’s awareness of behaviors that may be considered sexually harassing. Participants (n=12) embodied in virtual characters of different genders and experienced seven sexually harassing scenarios in an immersive virtual environment in random order. In general, participants provided higher rating to the sensitivity toward sexual harassment in the VR harassment scenarios than those scenarios described on paper. There was an increase in participants’ sensitivity toward sexual harassment after experiencing sexual harassment scenarios from the perspective of the victim in VR. Participants perceived higher level of sexual harassment when they embodied in female avatars, which suggested there was an effect of VR with body-gender transfer on perception of sexual harassment. There were gender differences in awareness of harassing behaviors in VR environment, and VR may be a training method to narrow gender gap and increase awareness toward sexual harassment.

An Analysis of Coaches’ Perceptions of Inappropriate Coaching Behaviors

The use of inappropriate coaching behaviors has been an ongoing concern for many years. However, not yet well researched is the use of inappropriate and bullying behaviors by coaches toward student-athletes. The purpose of this study was aimed at gathering relevant information on coaches’ use of inappropriate behaviors towards athletes, as reported by coaches. Participants for this study included 488 public/private school sport coaches, males (N=332) and females (N=153), from eight states. Data were gathered via an on-line survey in which participants identified if they had engaged in any of 22 listed actions among three types of bullying (physical, relational, verbal). Participants identified three actions (‘poking fun at an athlete’, ‘embarrassed an athlete in front of others’, and ‘name calling without hurtful intent’) as having been done by at least 30% of them. In summary, most actions were reported to have not been used by most coaches, three-fourths of the actions were considered inappropriate, and less than half were considered bullying. Keywords: coaching, bullying, sports