Can Machines Paint?

Israfilzade, Khalil

doi:10.5593/sgemsocialf2018/6.3/s12.014

Cited by 2 publications

(2 citation statements)

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“…Following this media hype, we could initiate to understand how individuals judged this AI-generated art that was sold at a specific price. In this way, discussions and researches are still ongoing (Coeckelbergh, 2016;Steinert, 2016;Fossa, 2017;Israfilzade & Pilelienė, 2018;Hertzmann, 2018;Nunez 2019) and related to the main question "Can machine create art? ".…”

Section: Ai-generated Paintingsmentioning

confidence: 99%

What S in a Name Experiment on the Aesthetic Judgments of Art Produced by Artificial Intelligence

Israfilzade¹

2020

arts

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We conducted an experiment to explore the effect on aesthetic judgments influenced by the presence and awareness of the title of the abstract paintings produced by Artificial Intelligence. Fiftytwo participants (52 students from the Faculty of Fine Arts) were randomly signed into control and experimental groups. Participants of the control group were asked to rate five abstract paintings created by various artists, while the experimental group also rated the same paintings only differing in the names of the author that they were made by Artificial Intelligence. Consequently, in our research, we adopted Berlyne's psychobiological theory, which focuses on the role of arousal as one of the primary determinants of aesthetic preference. The results suggest that the name of AI on title can function as a novelty and surprising reference to denote performance for our visual arts perception despite the fact that it is not created by AI. However, "complexity," "interestingness," and "ambiguity" variables didn't show any statistic significant. These findings extend past research by demonstrating that title presentation affects the perception of abstract art by the participants.

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Section: Ai-generated Paintingsmentioning

confidence: 99%

What S in a Name Experiment on the Aesthetic Judgments of Art Produced by Artificial Intelligence

Israfilzade¹

2020

arts

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“…The emergence of the Internet, the increase of big data, the explosive growth of computer science, and the enormous advancements in robotics and programming have resulted in the development of Artificial Intelligence, which enables it to handle complicated difficulties and tasks. Additionally, this technology appears to generate a variety of various types of content, including dialogues, music, poetry, artwork, film or news scripts, jokes, and creative problem-solving (Israfilzade & Pilelienė, 2018;Akerkar, 2019;Israfilzade, 2020). Latest developments in artificial intelligence have strengthened the effectiveness of powerful tactics such as machine learning and deep neural networks (Wang & Yuan, 2016;Hori et al, 2019;Hussain, Ameri Sianaki & Ababneh, 2019).…”

Section: Introductionmentioning

confidence: 99%

Conversational marketing as a framework for interaction with the customer: Development & validation of the conversational agent's usage scale

Israfilzade

2021

JLECON

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Conversational agents are becoming an essential part of a growing number of personal and commercial encounters, bringing the issue of Conversational Marketing to a broader audience. A conversational agent is a developing technology that will be used in various fields throughout life, including e-commerce. The common characteristics of any conversational agent in whatever area are their capacity to engage in one-to-one personalised real-time dialogue with a human user and their availability 24 hours a day. Scale items for conversational agent phenomena have not been created scientifically or managerially in a business environment. The primary goal of this study was to develop and validate a new scale for conversational agents that could be used to quantify individual interactions in conversational marketing. As a result, the creation of a new scale for conversational agents with the objective of measuring individual customer interactions in conversational marketing was separated into two phases: Scale Development and Scale Validation. The Conversational Agent Usage Scale was developed and validated as a consequence of pilot studies. Additionally, this article discusses the practical consequences of conversational marketing, which can now be accomplished through the use of the Conversational Agent Usage Scale, which may be used by Customer Service & Support, Marketing, and Sales departments.

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Can Machines Paint?

Cited by 2 publications

References 0 publications

What S in a Name Experiment on the Aesthetic Judgments of Art Produced by Artificial Intelligence

What S in a Name Experiment on the Aesthetic Judgments of Art Produced by Artificial Intelligence

Conversational marketing as a framework for interaction with the customer: Development & validation of the conversational agent's usage scale

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