Fig 4 - uploaded by Mohammad Shidujaman
Content may be subject to copyright.
Source publication
In recent years, with the rapid development of big data, cloud computing, and deep learning, artificial intelligence (AI) has returned to the public’s field of vision once again and gradually deepened and infiltrated into different areas of our life. In this context, interactive art faces the unprecedented opportunities and challenges. In the past,...
Context in source publication
Context 1
... device that can migrate neural network image styles in real time. The audience only needs to stand in front of the camera, and the screen can display real-time images of different painting styles drawn by the AI based on the scene and people at the time, which all thanks to the maturity and application of the image style migration algorithm (see Fig. 4). In traditional interactive art creations, which are belong to the categories defined as static, dynamic-passive, dynamic-interactive [2], the artists are still in the unshakable position of the creative subject or the doer, who have the power to control everything and set the rules of interaction [3,4]. Although the audience can ...
Citations
... They become the data that the AI algorithm uses to shape the artwork. This makes the final work unpredictable (Chen et al. 2020). Similarly, Mendelowitz (2020) classified AI artworks with introspection, perception, actuation, and selfmutability and categorized them with these five metrics: generative, reactive, interactive, learning, and static, depending on which classification metric they belong. ...
Ecological art installations create spatial engagements and initiate community dialogues around sustainability and environmental matters in the public realm by creating compelling analog or digital experiences. Interactive digital engagements can be developed using real-time data processing with Artificial Intelligence (AI) technologies. Studies show that interactive digital technologies enable effective reciprocations by making the audience an active investigator. In addition, an interactive connection between space, artwork, and the audience elevates the meaning of the public space leading to becoming a community forum. Therefore, AI could improve the efficiency of the interactive experience in the context of eco-art installations resulting in eco-didactic environments in the public realm. This paper explores existing interactive AI artworks and eco-art installations through literature and reflects on the adaptability of these technologies to eco-art installations. The study adopts the forced connection theory to create a link between interactive AI and eco-art installations for potential collaborations.
... In terms of methodology, a blend of computational and creative approaches has been used to create interactive AI art. This often involves generating art based on predefined parameters, as we are learning techniques to adapt and evolve artistic outputs based on viewer interactions [11]. In terms of results, the use of quantitative methods has provided insights into the effectiveness and impact of AI in the art world. ...
... Such methodologies provided concrete data that indicated a growing acceptance and value attributed to AI-generated art. In creating interactive AI art, the effectiveness of different AI methodologies and algorithms was often evaluated through user feedback and engagement metrics, providing a quantitative measure of the success of these approaches [11]. Overall, the historical evolution of AI in art is a testament to the expanding boundaries of creativity and technology's transformative role in art. ...
... By combining the two, once the model has been designed the glue-coating path can be verified, which saves a lot of time for debugging, effectively shortens the manufacturing cycle time. This is the adjustment that needs to be made to automotive glue-coating under the general trend of smart manufacturing development [11][12][13]. ...
The automotive glue-coating, as an important part of automobile manufacturing, has a crucial impact on automotive water-proof and rust-proof performances. The glue-coating robots need to be path planned with software, and the paths have to be repeatedly tested with the actual production line using prototype vehicles. There are multiple issues concerning nozzle damage and inefficiency by using the traditional glue-coating path verification method, which calls for a new method to solve these problems. This paper proposes a path verification method for automotive glue-coating based on augmented reality and digital twin. The results show that with this augmented reality and digital twin based method, the operator can observe the glue-coating process intuitively and immersively, so that he can adjust or re-plan the glue-coating path according to the verification results, even before the production of the actual prototype vehicle. The collision between the actual prototype vehicle and the nozzle of the glue-coating robot will be transformed into the collision between the virtual vehicle model and the robot digital twin, which can avoid nozzle damage, save a lot of time for waiting for the production of the prototype vehicle. This method is in line with the general trend of smart manufacturing development and effectively shortens the manufacturing cycle time.KeywordsAugmented realityDigital twinAutomotive glue-coatingPath verification
... For text prompts, we can also put in various types of hints for visual effects or styles, such as art materials, art/design websites with sources to imitate, software which generates a particular kind of visual effect/style, and the names of artists whose artworks have been used as training materials. For image prompts, a reference image can guide the image generation in the perspectives of layout, shapes and colors [15]. ...
... The results show that AI will evolve with time to be implemented very efficiently for graphic designing and will perform various tasks with high accuracy. 16 Chen et al. 17 have proposed a study on the active participation of AI in the creation of effective and interactive art creation. A detailed analysis of the association between artists, intelligent robots, and the volunteers in the procedure was presented. ...
Art design is a method of conveying human feelings and emotions, particularly via the use of visual structures such as paintings or sketches. Every element of our life, including arts and crafts, has been positively affected by the introduction of novel technologies such as artificial intelligence (AI) and machine learning (ML). In today's modern environment, these technologies have altered the techniques of art creation, consumption, and distribution. In today's environment, ML and human emotions are the two most important aspects for interactive and high-quality art design. Whereas traditional learning systems can be extremely effective in the teaching and learning process of art-related subjects, AI and ML can be very effective in the teaching and learning process of art-related subjects for the advancement of learners' artistic skills. The productive and active role of AI and ML in the developments and advancements of art design has been given a very comprehensive and detailed overview in this study. Following a detailed examination of the existing techniques, distinct characteristics have been identified. Six of the most widely utilized features were chosen from the literature to execute the analytical hierarchy process (AHP). For ranking the options based on the weights derived by AHP, the TOPSIS algorithm is used. The option with the best performance came in first, whereas the one with the worst performance came in last.
... In order to help the inheritance of Qiang language and culture, many researchers have made efforts. With the development of digital technology [30], the interactive design method [6,31] has brought vitality to the development of art [7] and culture [30]. He et al. [17] designed a mobile application for learning the daily terms of the Qiang language, proving the value of digital technical support. ...
The Qiang people is an ancient minority in western China. However, Qiang language, as the carrier of Qiang culture and spirit, is rapidly fading as less and fewer people can speak it. Despite the fact that the serious game of indigenous language has been widely discussed, there is still a dearth of research on the Qiang language and culture. This research aims to determine the efficacy of serious games based on interactive projection to encourage people’s interest in Qiang language and culture. To better understand the Qiang language and cultural heritage’s current state and challenges, we conducted a three-day field investigation in the Qiang village. Based on the field study’s findings, we created “WhiteStone”, an interactive projection device based on the heroic epic of Qiang. Our user research consists of remote verification and user testing, indicating that serious games based on projected interaction have the potential to create engrossed and interesting experiences, which can attract young people’s interest in the Qiang language and culture. This paper examines the design opportunities for serious games based on interactive projection to revitalize the Qiang language and culture.
... The Methods of Creativity. These methods encourage creative actions and have demonstrated their usefulness in both arts and sciences [42], usually covering information acquisition, idea generation, problem reframing, prototyping, testing, iterating and etc. [43]. ...
Artificial intelligence (AI) is bringing new possibilities to numerous fields. There have been a lot of discussions about the development of AI technologies and the challenges caused by AI such as job replacement and ethical issues. However, it’s far from enough to systematically discuss how to use AI creatively and how AI can enhance human creativity. After studying over 1,600 application cases across more than 45 areas, and analyzing related academic publications, we believe that focusing on the collaboration with AI will benefit us far more than dwelling on the competing against AI. “AI Creativity” is the concept we want to introduce here: the ability for human and AI to co-live and co-create by playing to each other’s strengths to achieve more. AI is a complement to human intelligence, and it consolidates wisdom from all achievements of mankind, making collaboration across time and space possible. AI empowers us throughout the entire creative process, and makes creativity more accessible and more inclusive than ever. The corresponding Human-AI Co-Creation Model we proposed explains the creative process in the era of AI, with new possibilities brought by AI in each phase. In addition, this model allows any “meaning-making” action to be enhanced by AI and delivered in a more efficient way. The emphasis on collaboration is not only an echo to the importance of teamwork, but is also a push for co-creation between human and AI. The study of application cases shows that AI Creativity has been making significant impact in various fields, bringing new possibilities to human society and individuals, as well as new opportunities and challenges in technology, society and education.
... The diversity of terrain and environmental elements may be regarded as a dimension of the quality of natural play facilities. It can improve children's athletic ability through a full range of games and exploring the natural game environment [3,9]. Therefore, diverse children's play facilities and environments are important guarantees for children's games. ...
A reasonable and healthy playground is an important guarantee for children to develop cognition through physical games. [] However, due to the influence of early childhood psychology and the popularity of stereotypes, the existing industrialized production of children’s play space has been defined and designed from the perspective of adults. With the help of interdisciplinary thinking and tools, based on the theory of child psychology and the circular game system, we propose a new method of children’s playground design. At first, we reviewed the fallacies of the past children’s playground design and their causes and summarized the elements of ideal children’s playground construction. Secondly, we introduced the Physarum polycephalum algorithm and brought this algorithm to the path generation of different terrains and environments. Third, we analyze the path and introduce the amoeba bionic algorithm tool to determine the facilities, and then generate a series of play facilities. Finally, we brought this result into the case and discussed its potential applications in interactive design.
The research objective of this paper is to advance knowledge about the role of artificial intelligence (AI) in complex problem-solving. A problem is complex due to the large number of highly inter-connected variables affecting the problem state. Complex problem-solving situations often change decremental or worsen, forcing a problem solver to act immediately, under considerable time pressure. While research findings support the assumption that (1) affective, (2) (meta-)cognitive, and (3) social processes support complex problem-solving, opportunities of AI for supporting complex problem-solving need to be further investigated. This article presents a scoping review of relevant literature from the last five years. The study included, N = 38 studies for coding and analysis. Our findings show that in addition to the increased number of publications, the current trend suggests increased quality of published work. Human-AI collaboration in complex problem-solving has been explored across a broad variety of AI application domains. However, the four dimensions of complex problem – namely, cognitive, metacognitive, social and affective - have been augmented by AI to a different extent. Although most of the work has been done in the cognitive domain, it is ancouraging to see progress across social and affective dimensions as well. Implications for future research and practice are being discussed.
