scholarly journals Portraying Footwear Customer Enter-Store Behavior in China: Based on Computer Vision Technology

2021 ◽  
Vol 21 (1) ◽  
pp. 3-12
Author(s):  
Jingjing LI ◽  
Keyu HOU ◽  
Wei XU ◽  
Jin ZHOU
Keyword(s):  
Computer Vision ◽  
Consumer Behavior ◽  
Data Collection ◽  
Conversion Rate ◽  
High Efficiency ◽  
Customer Behavior ◽  
Consumption Behavior ◽  
Computer Vision Technology ◽  
The Impact

Existing studies on customer behavior lack quantitative and high efficiency study, their technologies rely heavily on hardware. Therefore, the information of consumers in offline stores was insufficient, which made enterprises unable to accurately track consumers. However, computer vision (CV) is an expert in identifying and tracking people’s behavior, and its function is suitable for investigating enter-store customer behavior. Therefore, the aim of our study was to develop an offline consumer behavior portraying system based on CV. Then we used this system to investigate enter-store consumption behavior. We selected 71 shoe stores in China, then installed the system in store for a three-month data collection, and evaluated the impact of customer's age, gender, enter time, and region factors on enter-store behavior in China. Through our system, we successfully study ways to improve the purchase conversion rate of enter-store consumers, which could guide enterprises to adjust better marketing and operation strategies.

scholarly journals Analysis The Impact Of Buyers’ Demographics To Green Consumption In Hochiminh City

2020 ◽  
Vol 5 (1) ◽  
pp. first
Author(s):  
Tô Thị Kim Hồng ◽  
Trần Thị Diễm Thúy
Keyword(s):  
Consumer Behavior ◽  
Environmental Protection ◽  
Quantitative Research ◽  
Public Awareness ◽  
Ho Chi Minh City ◽  
Related Factors ◽  
Green Consumption ◽  
Consumption Behavior ◽  
The Government ◽  
The Impact

Nowadays, environmental protection is an urgent problem which raises top concerns. Besides, green consumption is a trend encouraged to be widely implemented in many countries in the world, including Vietnam. However, in the reality of Vietnam, changing green consumer behavior in choosing products has been negligible and insignificant. With a diversified and varied population structure, Ho Chi Minh City is selected to analyze the impacts of demography and other related factors on green consumption behavior in the market. The quantitative research method is mainly used with the analysis of multiple correlation and linear regression. The results retrieved from 312 survey samples show that regarding demography, educational level, and marital status influence green consumption behavior. Besides, the results also show and measure the impacts of other factors, namely attitudes, subjective standards, environmental concerns, unavailability of green products on the green consumption behavior of consumers in Ho Chi Minh city. With the aim at promoting green consumer behavior in Ho Chi Minh City, there is a need for a change requiring the cooperation of all the Government, Enterprises, and consumers in stepping up propaganda, raising public awareness; simultaneously, orienting economic development activities associated with sustainable environmental protection.

Parallelism Measurement System of Porous Parts Based on Computer Vision

2014 ◽  
Vol 490-491 ◽  
pp. 1508-1511
Author(s):  
Zhen Zhen Guan ◽  
Yu Jun Yin ◽  
Xiao Chun Yin
Keyword(s):  
Computer Vision ◽  
Measurement Method ◽  
High Efficiency ◽  
Distortion Correction ◽  
Edge Extraction ◽  
Image Preprocessing ◽  
Computer Vision Technology ◽  
Low Efficiency ◽  
Two Sides ◽  
Geometric Measurement

Aiming at the problem of low accuracy, low efficiency in the parallelism measurement of porous workpiece, this paper proposes a parallelism measurement method based on computer vision technology. The images of both ends of the workpiece are acquired, after camera calibration, image distortion correction, two sides coordinate unification, filtering, edge extraction, circle calculation and a series of image preprocessing, parallelism can be calculated. The experiment shows that this method has high precision, high efficiency and it is simple to operate, it provides a new way for geometric measurement.

scholarly journals Enhancing camera surveillance using computer vision: a research note

2018 ◽  
Vol 41 (2) ◽  
pp. 292-307 ◽  
Author(s):  
Haroon Idrees ◽  
Mubarak Shah ◽  
Ray Surette
Keyword(s):  
Computer Vision ◽  
Law Enforcement ◽  
Police Department ◽  
Law Enforcement Agencies ◽  
Ongoing Research ◽  
Content Type ◽  
Surveillance Camera ◽  
Surveillance Cameras ◽  
Computer Vision Technology ◽  
The Impact

Purpose The growth of police operated surveillance cameras has out-paced the ability of humans to monitor them effectively. Computer vision is a possible solution. An ongoing research project on the application of computer vision within a municipal police department is described. The paper aims to discuss these issues. Design/methodology/approach Following the demystification of computer vision technology, its potential for police agencies is developed within a focus on computer vision as a solution for two common surveillance camera tasks (live monitoring of multiple surveillance cameras and summarizing archived video files). Three unaddressed research questions (can specialized computer vision applications for law enforcement be developed at this time, how will computer vision be utilized within existing public safety camera monitoring rooms, and what are the system-wide impacts of a computer vision capability on local criminal justice systems) are considered. Findings Despite computer vision becoming accessible to law enforcement agencies the impact of computer vision has not been discussed or adequately researched. There is little knowledge of computer vision or its potential in the field. Originality/value This paper introduces and discusses computer vision from a law enforcement perspective and will be valuable to police personnel tasked with monitoring large camera networks and considering computer vision as a system upgrade.

scholarly journals Remotely Sensed Imagery for Early Detection of Respiratory Disease in Pigs: A Pilot Study

Animals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 451 ◽  
Author(s):  
Maria Jorquera-Chavez ◽  
Sigfredo Fuentes ◽  
Frank R. Dunshea ◽  
Robyn D. Warner ◽  
Tomas Poblete ◽  
...  
Keyword(s):  
Computer Vision ◽  
Heart Rate ◽  
Pilot Study ◽  
Early Detection ◽  
Respiratory Diseases ◽  
Base Temperature ◽  
Computer Vision Technology ◽  
Thermal Infrared Imagery ◽  
Clinical Illness ◽  
The Impact

Respiratory diseases are a major problem in the pig industry worldwide. Due to the impact of these diseases, the early identification of infected herds is essential. Computer vision technology, using RGB (red, green and blue) and thermal infrared imagery, can assist the early detection of changes in animal physiology related to these and other diseases. This pilot study aimed to identify whether these techniques are a useful tool to detect early changes of eye and ear-base temperature, heart rate and respiration rate in pigs that were challenged with Actinobacillus pleuropneumoniae. Clinical observations and imagery were analysed, comparing data obtained from animals that showed some signs of illness with data from animals that showed no signs of ill health. Highly significant differences (p < 0.05) were observed between sick and healthy pigs in heart rate, eye and ear temperature, with higher heart rate and higher temperatures in sick pigs. The largest change in temperature and heart rate remotely measured was observed around 4–6 h before signs of clinical illness were observed by the skilled technicians. These data suggest that computer vision techniques could be a useful tool to detect indicators of disease before the symptoms can be observed by stock people, assisting the early detection and control of respiratory diseases in pigs, promoting further research to study the capability and possible uses of this technology for on farm monitoring and management.

Application of computer vision technologies for automatic data collection about emotions of students during group work

2020 ◽  
pp. 56-63
Author(s):  
R. B. Kupriyanov
Keyword(s):  
Computer Vision ◽  
Data Collection ◽  
Russian Federation ◽  
Video Analysis ◽  
Group Work ◽  
Emotional State ◽  
Educational Process ◽  
Automatic Data ◽  
The Russian Federation ◽  
The Impact

Today the global scientific community is actively discussing the issues on the application of artificial intelligence in education. One of the least studied technologies in terms of its application in education is computer vision. The development and implementation of intelligent systems based on video analysis and machine learning algorithms provide new opportunities for teachers and staff of the educational organization administration to understand and transform the educational process. The article discusses the use of video analysis technologies from cameras with a 360-degree view to collect data on the emotional state of students during group work in the classroom. In the course of the described research, a software solution for automatic emotions data collection during students’ teamwork leaning was developed. This solution can be used for future research aimed at studying the impact of emotional state on students’ educational success. The results of the study can be used to form the research agenda of Russian universities in order to implement the objectives of the section “Education and personnel” of the program “Digital economy of the Russian Federation”, approved by the Government of the Russian Federation.

Psychological Aspects of the Role of Product Advertising Against Consumer Purchase Interest: Study of Gain Mass Milk Advertising at Gymnastic

2018 ◽  
Vol 1 (2) ◽  
pp. 44-51
Author(s):  
Andy Alfatih ◽  
Muhammad Rio Septian
Keyword(s):  
Consumer Behavior ◽  
Customer Behavior ◽  
Psychological Aspects ◽  
Cognitive Effect ◽  
Milk Products ◽  
Male Sex ◽  
Advertising Exposure ◽  
The Impact ◽  
The Relationship

Abstract Introduction.The main purpose of advertising certain products or services is to attract customer attention and analyze the impact of advertising on customer behavior. Various studies show that there are significant links between cognitive and psychological aspects. The cognitive effect of an advertisement begins with the influence of the visual aspects of the advertisement. This research was aimed to explore the role of product advertising on consumer buying interest by studying aspects of psychology. Methods. The study design was observational analytic study that seek to see the relationship between exposure to milk mass forming muscle mass and consumer buying interest. The exploration dimensions for advertising exposure are ad frequency, ad duration and ad intensity using questionnaire. Total samples in this study were 60 people, age ranges from 18-35 years and male sex. Results. This study found as many as 70% of respondents understood the message delivered by the milk advertisement. As many as 56.7% of respondents expressed an interest in buying these muscle-building milk products. Around 58% of respondents stated their willingness to promote the product to others. Conclusion. This research shows the role of advertising in shaping consumer behavior and buying interest. The more attractive and the more often the ad is displayed it will trigger aspects of attractiveness and confidence in the product. Along with the need, further reinforce the behavior to buy products.

INFLUENCE OF SITUATION FACTORS ON CONSUMER BEHAVIOR

2017 ◽  
Author(s):  
Viktoriia Traino ◽  
Keyword(s):  
Consumer Behavior ◽  
Consumer Preferences ◽  
Customer Behavior ◽  
Situational Factors ◽  
State And Society ◽  
Psychological Differences ◽  
Analysis And Synthesis ◽  
General Scientific ◽  
Effective Instrument ◽  
The Impact

In competitive markets, it is important for companies to identify factors that affect consumer behavior and well-timed anticipate alterations in their behavior. The probability of purchasing goods or services by the consumer depends on certain situations in which he finds himself. Understanding the characteristics of situational factors, consumer preferences, habits, the ability to predict and manage them will influence consumer behavior, especially in the buying process. At present, the issues of studying the influence of situational factors on consumer behavior in today's unique conditions are insufficiently studied. The purpose of the publication is to analyze the impact of situational factors on consumer behavior in today's special conditions and to propose appropriate measures to improve the activities of enterprises, taking into account the factors considered. The study used general scientific research methods: abstract-logical, analysis and synthesis, systematization and generalization. Consumer behavior is a person's actions under the influence of the environment, individual and psychological differences in the process of realizing the need, finding information, choosing, purchasing, using goods or services and getting rid of them. An important condition for the effective operation of the enterprise is to determine the most noteworthy factors influencing consumer behavior. One of such factors is situational. The modern period is characterized by the following situations that regulate or modification the habits of consumers: changes in social status; emergence of the latest technologies; rules and norms established by the state and society; emergencies. During the life of the same person under the influence of situations modification desires, values, habits, needs, behavior. Therefore, businesspersons and marketers should allot special attention to situational factors that influence consumer behavior. After all, the influence on customer behavior is a effective instrument for modeling consumer behavior and demand governance.

scholarly journals Customer behavior impact on international tourist's travel intention due to Covid-19

2020 ◽  
Vol 1 (3) ◽  
pp. 231-243
Author(s):  
Febriana Riestyaningrum ◽  
◽  
Ehsan Ferdaos ◽  
Bahruz Bayramov ◽  
◽  
...  
Keyword(s):  
Consumer Behavior ◽  
Tourism Industry ◽  
Customer Behavior ◽  
Future Research ◽  
Research Issues ◽  
Simultaneous Impact ◽  
Travel Restrictions ◽  
Convenience Sampling ◽  
The Impact ◽  
Partial Effects

Purpose: Several industries affected by the Covid-19 outbreak – one of the most affected is the tourism industry due to travel restrictions, which have resulted in an unprecedented slump in the number of international tourists. This situation has an impact on changing consumer behavior towards intention to travel. This study aims to measure the impact of Covid-19 on international tourists' consumer behavior towards crises to intention to travel overseas after the pandemic is over. Research methodology: A paper questionnaire was distributed to international tourists who have been traveling abroad (outside country of origin) at least once during the last 12 months through a nonprobability, convenience-sampling approach. A total of 350 questionnaires were analyzed using multiple regression linear. Results: The results from the regression model suggest that: (1) general impact have significant partial effects on traveling intention; (2) attitude and preference have a significant partial impact to travel intention; (3) hygiene and safety have significant partial impacts to travel intention; (4) general impact, attitude, and preference, hygiene and safety have a significant simultaneous impact to travel intention. Implications and future research issues were discussed. Limitations: This research is limited due to the limited number of respondents. Contribution: This research suggests that every country carries out promotions and increases national branding to rebuild trust to travel. Keywords: Impact, Covid-19, Customer behavior, International tourists, Travel intention, Post-pandemic

scholarly journals Consumption behavior and the lack of financial literacy among teens

2020 ◽  
Vol 1 (1) ◽  
pp. 191-206
Author(s):  
Sifa Asri Trisnani ◽  
Atika Dian Adriyani ◽  
Rifky Aulia Wandansari ◽  
Wikan Isthika
Keyword(s):  
High School ◽  
Consumer Behavior ◽  
Linear Regression ◽  
Data Collection ◽  
Financial Literacy ◽  
Consumption Behavior ◽  
Excessive Consumption ◽  
Peer Conformity ◽  
Collection Methods

Purpose – The main purpose of this study is to examine role of  financial literacy, peer conformity, and hedonic lifestyle towards teenagers’ consumption behavior.Method -  Consumer behavior explains the desire to have excessive consumption. The population in this study were all adolescents high school and university in the region of Central Semarang, amounting to 26 583 students, with a sample of 100 adolescents. This study uses a quantitative approach to data collection methods in the form of a questionnaire. The analytical method used is multiple linear regression analysis.Result - Peer conformity, hedonistic lifestyle, and financial literacy simultaneously influence consumer behavior adolescent high school and university in the Middle Semarang with a contribution of 37%. Partially significance value 0769 for peer conformity and 0. 992 for financial literacy while lifestyle 0:00 hedonic significance value. In this study, only hedonic factors that influence consumer behavior of teenagers.Implication -  This study can be used to understand behavior in teenager, especially in terms of purchase and consumption behavior.Originaility -  This research examine financial literacy in teenager phase.

scholarly journals IMPACT OF CONSUMER PERSONALITY ON CONSUMPTION BEHAVIOR

2014 ◽  
Vol 10 (2) ◽  
Author(s):  
Zahid Ali Channar ◽  
Keyword(s):  
Consumer Behavior ◽  
Primary Data ◽  
Satisfaction Level ◽  
Purchasing Behavior ◽  
Sales Managers ◽  
Sampling Frame ◽  
Social Affiliation ◽  
Consumption Behavior ◽  
The Impact ◽  
Practical Implications

Purpose: This study is conducted to find the impact of consumer personality on their satisfaction and loyalty and eventually on their repeated purchases which will automatically enhance the profits of the organizations. In this study consumer personality is a parameter of consumer behavior. Constructs of consumer personality are social affiliation and consumer relationship proneness. No any previous study is conducted to find the relation between different parameters of consumer personality on their Purchasing behavior. Methodology/Sampling: Primary data was collected from public & private universities of the Hyderabad & Jamshoro districts. Questionnaire was administered in 200 randomly selected samples; sampling frame was students from different classes i.e. MBBS, BDS & Nursing. Already established scales were used for measuring consumer personality, satisfaction, commitment and repeated purchases. Data was analyzed through correlation. Findings: It showed that if the product is aligned with the consumer personality then that has increased not only their satisfaction level but also loyalty with the organization, which ultimately led them to purchase repeatedly. Practical Implications: This research is useful for the top management & sales managers of the organizations in aligning their products with the personality of consumers.

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