Towards Ethical Neuromarketing 2.0 Based on Artificial Intelligence

2021 ◽  
pp. 619-638
Author(s):  
Elodie Attié ◽  
Solène Le Bars ◽  
Ilhem Quenel
Keyword(s):  
Artificial Intelligence ◽  
Consumer Behavior ◽  
Consumer Behaviors ◽  
The Way

Eighty percent of consumer behaviors and purchases rely on subconscious processes. The use of neuromarketing tools to study consumer behavior is not clear, notably regarding its practices and intentions toward consumers. This chapter aims to understand how neuromarketing can explain consumer behavior thanks to Neuromarketing 2.0 tools, how companies can manage the collected data in a responsible way and build a neuroethical charter to regulate the way companies use it. Most companies choose to not communicate about it when they use neuromarketing tools, and therefore, this chapter aims to pave the way towards solutions and recommendations and democratize its use by making Neuromarketing 2.0 more responsible and ethical.

Cut Flowers Being Sold as Impulse Items: A Look at Factors Affecting Impulse Product Merchandising

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 558c-558
Author(s):  
Jennifer B. Neujahr ◽  
Karen L.B. Gast
Keyword(s):  
Consumer Behavior ◽  
Marketing Strategies ◽  
Easy Access ◽  
Future Research ◽  
Grocery Stores ◽  
Cut Flowers ◽  
Factors Affecting ◽  
New Type ◽  
The 1950S ◽  
The Way

Consumer behavior research seems to play an big role in determining the wants and needs of an industry. This research helps to shape the way we market to the consumers and helps make marketing strategies more effective. In the 1950s grocery stores began to sell horticulture products in order to alleviate the growers' surplus. Supermarkets now have seem to found their niche in this market due to the fact that they can influence their consumers to buy their flowers right along with their bread, and get all of their shopping done at once. This new type of sale, commonly referred to as the impulse sale, can relate directly to how well the store is merchandised and maintained. A study was conducted at a local supermarket, to determine the following: good locations for impulse sales items, special conditions affecting impulse sales items, and what types of things could affect demand for impulse items. It was discovered that certain locations make better sales than other locations. Locations that were front and center and allowed easy access to seeing the mixed flower bouquet without having to touch it yielded the best results. The variables used to show a change in demand showed little to some variability and has raised some questions which may be used to conduct future research.

scholarly journals Anthropomorphized artificial intelligence, attachment, and consumer behavior

2021 ◽  
Author(s):  
Erik Hermann
Keyword(s):  
Artificial Intelligence ◽  
Emotional Intelligence ◽  
Consumer Behavior ◽  
Research Opportunities ◽  
Social Lives

AbstractThe increasing humanization and emotional intelligence of AI applications have the potential to induce consumers’ attachment to AI and to transform human-to-AI interactions into human-to-human-like interactions. In turn, consumer behavior as well as consumers’ individual and social lives can be affected in various ways. Following this reasoning, I illustrate the implications and research opportunities related to consumers’ (potential) attachment to humanized AI applications along the stages of the consumption process.

scholarly journals Explainable AI: A Review of Machine Learning Interpretability Methods

Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 18
Author(s):  
Pantelis Linardatos ◽  
Vasilis Papastefanopoulos ◽  
Sotiris Kotsiantis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Black Box ◽  
Learning Systems ◽  
Model Complexity ◽  
Learning Models ◽  
New Methods ◽  
Industrial Adoption ◽  
Machine Learning Models ◽  
The Way

Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks. However, this surge in performance, has often been achieved through increased model complexity, turning such systems into “black box” approaches and causing uncertainty regarding the way they operate and, ultimately, the way that they come to decisions. This ambiguity has made it problematic for machine learning systems to be adopted in sensitive yet critical domains, where their value could be immense, such as healthcare. As a result, scientific interest in the field of Explainable Artificial Intelligence (XAI), a field that is concerned with the development of new methods that explain and interpret machine learning models, has been tremendously reignited over recent years. This study focuses on machine learning interpretability methods; more specifically, a literature review and taxonomy of these methods are presented, as well as links to their programming implementations, in the hope that this survey would serve as a reference point for both theorists and practitioners.

“There is Nothing New in Cyberspace” a Motion for Debate

1992 ◽  
Vol 36 (14) ◽  
pp. 1049-1049 ◽  
Author(s):  
Maxwell J. Wells
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Virtual Reality ◽  
Human Computer Interaction ◽  
Cold Fusion ◽  
Major Advance ◽  
Junk Bonds ◽  
Exciting Development ◽  
Computer Interaction ◽  
The Way

Cyberspace is the environment created during the experience of virtual reality. Therefore, to assert that there is nothing new in cyberspace alludes to there being nothing new about virtual reality. Is this assertion correct? Is virtual reality an exciting development in human-computer interaction, or is it simply another example of effective simulation? Does current media interest herald a major advance in information technology, or will virtual reality go the way of artificial intelligence, cold fusion and junk bonds? Is virtual reality the best thing since sliced bread, or is it last week's buns in a new wrapper?

scholarly journals Software Testing: Issues and Challenges of Artificial Intelligence & Machine Learning

2021 ◽  
Vol 12 (1) ◽  
pp. 101-112
Author(s):  
Kishore Sugali ◽  
Chris Sprunger ◽  
Venkata N Inukollu
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Software Testing ◽  
Future Research ◽  
Critical Component ◽  
Development Methodology ◽  
Testing Strategies ◽  
History Of ◽  
Shed Light ◽  
The Way

The history of Artificial Intelligence and Machine Learning dates back to 1950’s. In recent years, there has been an increase in popularity for applications that implement AI and ML technology. As with traditional development, software testing is a critical component of an efficient AI/ML application. However, the approach to development methodology used in AI/ML varies significantly from traditional development. Owing to these variations, numerous software testing challenges occur. This paper aims to recognize and to explain some of the biggest challenges that software testers face in dealing with AI/ML applications. For future research, this study has key implications. Each of the challenges outlined in this paper is ideal for further investigation and has great potential to shed light on the way to more productive software testing strategies and methodologies that can be applied to AI/ML applications.

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 99-117
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

scholarly journals Artificial Intelligence and Bank Soundness: A Done Deal? - Part 1

2021 ◽  
Author(s):  
Charmele Ayadurai ◽  
Sina Joneidy
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Crucial Role ◽  
Significant Contribution ◽  
Economic Prosperity ◽  
Bank Stability ◽  
The Face ◽  
Main Strand ◽  
Bank Soundness ◽  
The Way

Banks soundness plays a crucial role in determining economic prosperity. As such, banks are under intense scrutiny to make wise decisions that enhances bank stability. Artificial Intelligence (AI) plays a significant role in changing the way banks operate and service their customers. Banks are becoming more modern and relevant in people’s life as a result. The most significant contribution of AI is it provides a lifeline for bank’s survival. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions opportunities from the main strand of CAMELS into distinct categories of 1 (C), 6(A), 17(M), 16 (E), 3(L), 6(S). It is highly evident that banks will soon extinct if they do not embed AI into their operations. As such, AI is a done deal for banks. Yet will AI contribute to bank soundness remains to be seen.

Judicial Artificial Intelligence Bias: A Survey and Recommendations

2021 ◽  
Vol 9 (2) ◽  
pp. 74-86
Author(s):  
Ogochukwu Constance Ngige ◽  
Oludele Awodele ◽  
Oluwatobi Balogun
Keyword(s):  
Artificial Intelligence ◽  
Energy Transport ◽  
Human Existence ◽  
Professional Life ◽  
Human Society ◽  
Close Attention ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Almost All ◽  
The Way

Artificial intelligence (AI) has continued to disrupt the way tasks are being carried out, finding its way into almost all facets of human existence, and advancing the development of human society. The AI revolution has made huge and significant inroad into diverse industries like health, energy, transport, retail, advertising, et cetera. AI has been found to assist in carrying out tasks more quickly and efficiently too. Tasks which were hitherto difficult have been simplified significantly through the use of AI. Slow adoption in judiciary has however been reported, compared to other sectors. A lot of factors have been attributed to this, with AI bias being an issue of concern. Decisions emanating from courts have a significant impact on an individual’s private and professional life. It is thus imperative to identify and deal with bias in any judicial AI system in order to avoid delivering a prejudiced and inaccurate decision, thereby possibly intensifying the existing disparities in the society. This paper therefore surveys judicial artificial intelligence bias, paying close attention to types and sources of AI bias in judiciary. The paper also studies the trust-worthy AI, the qualities of a trust-worthy artificial intelligence system and the expectations of users as it is being deployed to the judiciary, and concludes with recommendations in order to mitigate the AI bias in Judiciary.

Development of algorithms that simulate the solution of a problem by a person

2022 ◽  
Vol 1 ◽  
pp. 01006
Author(s):  
Iurii V. Filatov
Keyword(s):  
Artificial Intelligence ◽  
High Speed ◽  
Separate Study ◽  
Human Actions ◽  
History Of ◽  
Human Thinking ◽  
Problem Comparison ◽  
The Way

Some algorithms, which are often based on the use of elements of higher mathematics, possessing high speed and compact coding in algorithmic languages, are poorly mastered by most students. It can be assumed that this is due to the difficulty of presenting the principles of their work in the form of human actions in ordinary situations. Thus, a certain contradiction arises between the way of solving the problem that a person resorts to without using a computer and the way we force our computer to solve this problem. Comparison of the process of explaining algorithms speaks in favor of algorithms imitating human thinking. The discussion of the advantages of the algorithms themselves is beyond the scope of this article and undoubtedly deserves a separate study. If artificial intelligence is created, then its creator or creators will certainly be ranked among the outstanding geniuses in the history of civilization, no matter what algorithms it uses. However, so far there is no one to solve problems for us and create algorithms, so we will use all available means and try to teach this to children.

A Neuromarketing Perspective for Assessing the Role and Impact of Typefaces on Consumer Purchase Decision

2020 ◽  
pp. 208-228
Author(s):  
Nihal Toros Ntapiapis ◽  
Çağla Özkardeşler
Keyword(s):  
Consumer Behavior ◽  
Literature Review ◽  
Human Cognition ◽  
Purchase Decision ◽  
Consumer Behaviors ◽  
Brain Functions ◽  
New Methods ◽  
Consumer Neuroscience ◽  
And Behavior ◽  
The Brain

Given increasing knowledge about how consumers communicate with texts, our understanding of how brain processes information remains relatively limited. Besides that, in today's world, advancing neuroscience-related technology and developments have changed the understanding of consumer behavior. In this regard, in the 1990s, consumer neuroscience and neuromarketing concepts were revealed. This new concept has brought a multi-disciplinary approach and new perceptions of human cognition and behavior. For measuring consumer behaviors through a new alternative method, research has started combining traditional marketing researches with these new methods. This chapter explores how typeface knowledge from the brain functions using neuroscience technology and the importance neurosciences methodologies have for readability research. Moreover, this chapter will evaluate how typefaces affect the purchase decision of the consumers and offer an integrative literature review.

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