scholarly journals Artificial Intelligence as the New Realm for Online Advertising

2021 ◽  
Author(s):  
Nouran Tahoun ◽  
Ahmed Taher
Keyword(s):  
Artificial Intelligence ◽  
Significant Relationship ◽  
Process Model ◽  
Online Survey ◽  
Online Advertising ◽  
Data Driven ◽  
Perceived Effectiveness ◽  
Media Planning ◽  
Client Side ◽  
The Impact

This study explores the utilization of Artificial Intelligence (AI) in the online advertising process and the impact of using AI in each stage on overall perceived effectiveness. It also provides a better understanding of the magnitude of using AI in the four stages of advertising online: namely, consumer insights, ad creation, media planning and buying, and ad evaluation. <i>The Process model of AI utilization in online advertising </i>is the study's conceptual model developed based on the literature. An online survey is conducted with digital advertisers worldwide from both agency and client-side. The findings showed that AI is emerging progressively in the four stages of the data-driven online advertising process. Moreover, it showed a significant relationship between AI utilization in each stage and the following one. Using AI in each advertising stage promotes the perceived effectiveness of the overall online ad process.

scholarly journals Artificial Intelligence as the New Realm for Online Advertising

2021 ◽  
Author(s):  
Nouran Tahoun ◽  
Ahmed Taher
Keyword(s):  
Artificial Intelligence ◽  
Significant Relationship ◽  
Process Model ◽  
Online Survey ◽  
Online Advertising ◽  
Data Driven ◽  
Perceived Effectiveness ◽  
Media Planning ◽  
Client Side ◽  
The Impact

This study explores the utilization of Artificial Intelligence (AI) in the online advertising process and the impact of using AI in each stage on overall perceived effectiveness. It also provides a better understanding of the magnitude of using AI in the four stages of advertising online: namely, consumer insights, ad creation, media planning and buying, and ad evaluation. <i>The Process model of AI utilization in online advertising </i>is the study's conceptual model developed based on the literature. An online survey is conducted with digital advertisers worldwide from both agency and client-side. The findings showed that AI is emerging progressively in the four stages of the data-driven online advertising process. Moreover, it showed a significant relationship between AI utilization in each stage and the following one. Using AI in each advertising stage promotes the perceived effectiveness of the overall online ad process.

scholarly journals Use of Artificial Intelligence to understand adults’ thoughts and behaviours relating to COVID-19

2021 ◽  
pp. 175791392097933
Author(s):  
SW Flint ◽  
A Piotrkowicz ◽  
K Watts
Keyword(s):  
Artificial Intelligence ◽  
Online Survey ◽  
Severe Illness ◽  
Free Text ◽  
Community Recovery ◽  
Substantial Impact ◽  
Lifestyle Behaviours ◽  
Artificial Intelligence Methods ◽  
High Concern ◽  
The Impact

Aims: The outbreak of severe acute respiratory syndrome coronavirus 2 (COVID-19) is a global pandemic that has had substantial impact across societies. An attempt to reduce infection and spread of the disease, for most nations, has led to a lockdown period, where people’s movement has been restricted resulting in a consequential impact on employment, lifestyle behaviours and wellbeing. As such, this study aimed to explore adults’ thoughts and behaviours in response to the outbreak and resulting lockdown measures. Methods: Using an online survey, 1126 adults responded to invitations to participate in the study. Participants, all aged 18 years or older, were recruited using social media, email distribution lists, website advertisement and word of mouth. Sentiment and personality features extracted from free-text responses using Artificial Intelligence methods were used to cluster participants. Results: Findings demonstrated that there was varied knowledge of the symptoms of COVID-19 and high concern about infection, severe illness and death, spread to others, the impact on the health service and on the economy. Higher concerns about infection, illness and death were reported by people identified at high risk of severe illness from COVID-19. Behavioural clusters, identified using Artificial Intelligence methods, differed significantly in sentiment and personality traits, as well as concerns about COVID-19, actions, lifestyle behaviours and wellbeing during the COVID-19 lockdown. Conclusions: This time-sensitive study provides important insights into adults’ perceptions and behaviours in response to the COVID-19 pandemic and associated lockdown. The use of Artificial Intelligence has identified that there are two behavioural clusters that can predict people’s responses during the COVID-19 pandemic, which goes beyond simple demographic groupings. Considering these insights may improve the effectiveness of communication, actions to reduce the direct and indirect impact of the COVID-19 pandemic and to support community recovery.

scholarly journals Parents’ Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey

10.2196/19461 ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. e19461
Author(s):  
Jill Glassman ◽  
Kathryn Humphreys ◽  
Serena Yeung ◽  
Michelle Smith ◽  
Adam Jauregui ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Technology Use ◽  
Online Survey ◽  
Family Income ◽  
Sociodemographic Factors ◽  
Mobile Technologies ◽  
Computer Assisted ◽  
Device Use ◽  
The Impact ◽  
Parent Child

Background Parents’ use of mobile technologies may interfere with important parent-child interactions that are critical to healthy child development. This phenomenon is known as technoference. However, little is known about the population-wide awareness of this problem and the acceptability of artificial intelligence (AI)–based tools that help with mitigating technoference. Objective This study aims to assess parents’ awareness of technoference and its harms, the acceptability of AI tools for mitigating technoference, and how each of these constructs vary across sociodemographic factors. Methods We administered a web-based survey to a nationally representative sample of parents of children aged ≤5 years. Parents’ perceptions that their own technology use had risen to potentially problematic levels in general, their perceptions of their own parenting technoference, and the degree to which they found AI tools for mitigating technoference acceptable were assessed by using adaptations of previously validated scales. Multiple regression and mediation analyses were used to assess the relationships between these scales and each of the 6 sociodemographic factors (parent age, sex, language, ethnicity, educational attainment, and family income). Results Of the 305 respondents, 280 provided data that met the established standards for analysis. Parents reported that a mean of 3.03 devices (SD 2.07) interfered daily in their interactions with their child. Almost two-thirds of the parents agreed with the statements “I am worried about the impact of my mobile electronic device use on my child” and “Using a computer-assisted coach while caring for my child would help me notice more quickly when my device use is interfering with my caregiving” (187/281, 66.5% and 184/282, 65.1%, respectively). Younger age, Hispanic ethnicity, and Spanish language spoken at home were associated with increased technoference awareness. Compared to parents’ perceived technoference and sociodemographic factors, parents’ perceptions of their own problematic technology use was the factor that was most associated with the acceptance of AI tools. Conclusions Parents reported high levels of mobile device use and technoference around their youngest children. Most parents across a wide sociodemographic spectrum, especially younger parents, found the use of AI tools to help mitigate technoference during parent-child daily interaction acceptable and useful.

scholarly journals Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education

Information ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 14
Author(s):  
Petros Lameras ◽  
Sylvester Arnab
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Teaching And Learning ◽  
Data Driven ◽  
Synthesis Process ◽  
Analysis And Synthesis ◽  
Analysis Strategy ◽  
Artificial Intelligence In Education ◽  
The Impact ◽  
Meaningful Data

This exploratory review attempted to gather evidence from the literature by shedding light on the emerging phenomenon of conceptualising the impact of artificial intelligence in education. The review utilised the PRISMA framework to review the analysis and synthesis process encompassing the search, screening, coding, and data analysis strategy of 141 items included in the corpus. Key findings extracted from the review incorporate a taxonomy of artificial intelligence applications with associated teaching and learning practice and a framework for helping teachers to develop and self-reflect on the skills and capabilities envisioned for employing artificial intelligence in education. Implications for ethical use and a set of propositions for enacting teaching and learning using artificial intelligence are demarcated. The findings of this review contribute to developing a better understanding of how artificial intelligence may enhance teachers’ roles as catalysts in designing, visualising, and orchestrating AI-enabled teaching and learning, and this will, in turn, help to proliferate AI-systems that render computational representations based on meaningful data-driven inferences of the pedagogy, domain, and learner models.

scholarly journals THE IMPACT OF ATTITUDES TOWARDS GOVERNMENT AND CORPORATIONS ON TRUST IN TECHNOLOGY

2019 ◽  
Vol 2019 ◽  
Author(s):  
Yi-Ning Katherine Chen ◽  
Chia-Ho Ryan Wen
Keyword(s):  
Artificial Intelligence ◽  
Radio Frequency ◽  
Electromagnetic Fields ◽  
Political Ideology ◽  
Online Survey ◽  
Two Dimensions ◽  
Trust In Technology ◽  
The Impact

Understanding public distrust of technology is both theoretically and practically important, yet while previous research has focused on the association between political ideology and trust in science, it is at best an inconsistent predictor. This study shall demonstrate that two dimensions of political ideology, attitudes towards governments and corporations, can more precisely predict trust in technology across issues. We will conduct an online survey on the science of radio frequency electromagnetic fields (RF-EMF) and Artificial Intelligence (AI) applications to test our hypotheses that trust in technology varies across issues and that attitudes towards government and corporations are important predictors of this trust.

scholarly journals Artificial Intelligence Based Structural Assessment for Regional Short- and Medium-Span Concrete Beam Bridges with Inspection Information

2021 ◽  
Vol 13 (18) ◽  
pp. 3687
Author(s):  
Ye Xia ◽  
Xiaoming Lei ◽  
Peng Wang ◽  
Limin Sun
Keyword(s):  
Artificial Intelligence ◽  
Structural Characteristics ◽  
Highway Bridges ◽  
Condition Assessment ◽  
Transport Infrastructure ◽  
Data Driven ◽  
Bridge Inspection ◽  
Structural Deterioration ◽  
Data Driven Approach ◽  
The Impact

The functional and structural characteristics of civil engineering works, in particular bridges, influence the performance of transport infrastructure. Remote sensing technology and other advanced technologies could help bridge managers review structural conditions and deteriorations through bridge inspection. This paper proposes an artificial intelligence-based methodology to solve the condition assessment of regional bridges and optimize their maintenance schemes. It includes data integration, condition assessment, and maintenance optimization. Data from bridge inspection reports is the main source of this data-driven approach, which could provide a substantial amount og condition-related information to reveal the time-variant bridge condition deterioration and effect of maintenance behaviors. The regional bridge condition deterioration model is established by neural networks, and the impact of the maintenance scheme on the future condition of bridges is quantified. Given the need to manage limited resources and ensure safety and functionality, adequate maintenance schemes for regional bridges are optimized with genetic algorithms. The proposed data-driven methodology is applied to real regional highway bridges. The regional inspection information is obtained with the help of emerging technologies. The established structural deterioration models achieve up to 85% prediction accuracy. The obtained optimal maintenance schemes could be chosen according to actual structural conditions, maintenance requirements, and total budget. Data-driven decision support can substantially aid in smart and efficient maintenance planning of road bridges.

scholarly journals The Impact in Perceptions of Anxiety Feelings During Lockdown of COVID-19

2021 ◽  
Vol 18 ◽  
pp. 494-500
Author(s):  
Rejla Bozdo
Keyword(s):  
Economic Crisis ◽  
Significant Relationship ◽  
Online Survey ◽  
Public And Private ◽  
Daily Lives ◽  
Transportation Services ◽  
The Future ◽  
The Government ◽  
Gender Groups ◽  
The Impact

The world faced a new way of organizing everyday life in many countries during 2019. Lockdowns applied in many societies. People adopted a “new way” of living which now is called “the new normal”. The tense days spent under the virus threat made people experience changes in their daily lives, plus it forced them into behaving differently than before when the fear of any pandemic was almost nonexistent. This research was conducted during the days of lockdown and it indicates the feelings people experienced during the conditions of lockdown, in particular: on the magnitude of anxiety they felt, how anxiety may have affected perceptions and behaviors related to economy; furthermore, on the perceptions of economic crisis. Also gender differences were tested regarding the above. An online survey was conducted in Albania from March 22nd to April 4th, 2020, during the lockdown period of COVID-19. Since the 9th of March 2020, the Albanian government started issuing the anti-COVID-19 measures that were toughened later in the following weeks of March and April. The education institutions were closed and other public and private services were limited. The government issued a strict curfew allowing people to go out in limited hours, in some days up to one hour. Some weekends the curfew lasted for 24-48 hours in isolation where citizens were prohibited to walk outside of their homes. Transportation was limited to the employee shuttles and distribution transportation services only. Private cars were not allowed for many weeks. Physical stores were closed; only those selling food could open for limited hours. 1205 respondents participated in this online survey, from which 1061 valid questionnaires were analyzed, in a sample of 66.2% female and 33.8% male, providing data regarding their feelings during quarantine, their decisions related to future spending and how they perceived the future economic situation. The aim is to investigate the relation between anxiety and economic crises perceptions, the levels of anxiety and decision-makings on future spending and if there is any variance affected by gender, in order to have an outcome on the assumption that anxiety feelings may affect peoples’ behavior as consumers. The results of this research show that there are differences between male and female groups on the levels of anxiety experienced during the lockdown and on the level of perception of future economic crisis, but there is no difference between gender groups regarding the decision in reducing future spending. Another finding from this research is that people experiencing high levels of anxiety, were more likely to lessen their future expenses. Also, there is a significant relationship between anxiety and the level of perception on the fear of future economic crisis in the country. People with high levels of anxiety, perceive a higher level of crisis. There is a significant relationship between anxiety and decision-making of reducing the future spending. People with high levels of anxiety, have higher levels of reduction of future spending. The decreasing of future spending is related more to the perception of future economic crisis than to feelings of anxiety.

scholarly journals Evaluating the impact of AI on insurance: The four emerging AI- and data-driven business models

2019 ◽  
Vol 1 ◽  
pp. 15 ◽  
Author(s):  
Alex Zarifis ◽  
Christopher P. Holland ◽  
Alistair Milne
Keyword(s):  
Artificial Intelligence ◽  
Value Chain ◽  
Business Models ◽  
Data Driven ◽  
Insurance Companies ◽  
Customer Base ◽  
Insurance Sector ◽  
The Third ◽  
The Impact ◽  
The Way

The increasing capabilities of artificial intelligence (AI) are changing the way organizations operate and interact with users both internally and externally. The insurance sector is currently using AI in several ways but its potential to disrupt insurance is not clear. This research evaluated the implementation of AI-led automation in 20 insurance companies. The findings indicate four business models (BM) emerging: In the first model the insurer takes a smaller part of the value chain allowing others with superior AI and data to take a larger part. In the second model the insurer keeps the same model and value chain but uses AI to improve effectiveness. In the third model the insurer adapts their model to fully utilize AI and seek new sources of data and customers. Lastly in the fourth model a technology focused company uses their existing AI prowess, superior data and extensive customer base, and adds insurance provision.

scholarly journals Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo

2020 ◽  
Vol 53 (3) ◽  
pp. 167-170
Author(s):  
Gabriela Irene Garcia Brandes ◽  
Giuseppe D’Ippolito ◽  
Anderson Gusatti Azzolini ◽  
Gustavo Meirelles
Keyword(s):  
Artificial Intelligence ◽  
Medical Students ◽  
Online Survey ◽  
New Technologies ◽  
Significant Proportion ◽  
Undergraduate Medical Students ◽  
Job Market ◽  
The Impact ◽  
The City ◽  
Insufficient Knowledge

Abstract Objective: To evaluate the impact of artificial intelligence (AI) on undergraduate medical students’ choice of radiology as a specialty. Materials and Methods: In February 2019, an anonymous online survey was sent to medical students. The research contemplated questions on how much students think they know about AI technologies, how much AI discourages them from choosing radiology as a specialty, and whether they believe there is a threat to the radiology job market. Results: A total of 101 students, most of them doing their internship, answered the questionnaire. More than half of them (52.5%) said they believe AI poses a threat to the radiology job market, but 64.3% claimed not to have proper knowledge about these new technologies, and 31.7% said they would like more information on the technologies’ operation and progress before making a decision on whether or not to practice radiology as a specialty. Conclusion: A significant proportion of the surveyed students perceive AI as a threat to the radiological practice, which impacts their career choice. However, the majority claims to have insufficient knowledge of it and believes more information is needed for decision-making.

scholarly journals Parents’ Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey (Preprint)

2020 ◽  
Author(s):  
Jill Glassman ◽  
Kathryn Humphreys ◽  
Serena Yeung ◽  
Michelle Smith ◽  
Adam Jauregui ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Technology Use ◽  
Online Survey ◽  
Family Income ◽  
Sociodemographic Factors ◽  
Mobile Technologies ◽  
Computer Assisted ◽  
Device Use ◽  
The Impact ◽  
Parent Child

BACKGROUND Parents’ use of mobile technologies may interfere with important parent-child interactions that are critical to healthy child development. This phenomenon is known as technoference. However, little is known about the population-wide awareness of this problem and the acceptability of artificial intelligence (AI)–based tools that help with mitigating technoference. OBJECTIVE This study aims to assess parents’ awareness of technoference and its harms, the acceptability of AI tools for mitigating technoference, and how each of these constructs vary across sociodemographic factors. METHODS We administered a web-based survey to a nationally representative sample of parents of children aged ≤5 years. Parents’ perceptions that their own technology use had risen to potentially problematic levels in general, their perceptions of their own parenting technoference, and the degree to which they found AI tools for mitigating technoference acceptable were assessed by using adaptations of previously validated scales. Multiple regression and mediation analyses were used to assess the relationships between these scales and each of the 6 sociodemographic factors (parent age, sex, language, ethnicity, educational attainment, and family income). RESULTS Of the 305 respondents, 280 provided data that met the established standards for analysis. Parents reported that a mean of 3.03 devices (SD 2.07) interfered daily in their interactions with their child. Almost two-thirds of the parents agreed with the statements “I am worried about the impact of my mobile electronic device use on my child” and “Using a computer-assisted coach while caring for my child would help me notice more quickly when my device use is interfering with my caregiving” (187/281, 66.5% and 184/282, 65.1%, respectively). Younger age, Hispanic ethnicity, and Spanish language spoken at home were associated with increased technoference awareness. Compared to parents’ perceived technoference and sociodemographic factors, parents’ perceptions of their own problematic technology use was the factor that was most associated with the acceptance of AI tools. CONCLUSIONS Parents reported high levels of mobile device use and technoference around their youngest children. Most parents across a wide sociodemographic spectrum, especially younger parents, found the use of AI tools to help mitigate technoference during parent-child daily interaction acceptable and useful. CLINICALTRIAL

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