Hasil untuk "Handicrafts. Arts and crafts"

Rafat Saleh Madani

The contemporary designer analyzes and studies the elements of artistic heritage, to identify the intellectual and aesthetic premises that lie in its structure, its elements, its vocabulary, and its encapsulation. With the aim of enriching the design thinking and its sources for the designer and raising the level of creativity and the overall idea of the two- and three-dimensional work, to design artistic models that are original and contemporary, enriching the language of communication between heritage and contemporary. In this way, the heritage and its elements are inspired by a special stylistic display of heritage and its elements in innovative modernist formulations that deviate from the prevailing through its holistic images. And its presentation of elements or processes connected to each other and not as separate parts, to present it in a comprehensive form that supports the opportunities for selection and innovation that stems from it. In addition to those works in which some artists and designers deliberately elevated nature and its elements, drawing inspiration from its elements (human, plant, animal).  And simulating them as a basis for artistic formulation, another group of designers sided with drawing inspiration from the elements of Arab heritage, especially in the traditional Arab Gulf artifacts. As a source for enriching the architecture of 2D and 3D designs, And the design of modern models based on the reading comprehension of the philosophical, aesthetic, and structural dimensions of the elements of that heritage. Increasingly traditional crafts of the gulf region are becoming obsolete because of dwindling numbers of traditional craftsmen and cheap imports from Pakistan and Morocco. There is a need to preserve traditional artefacts in the face of this issue. This research assesses the viability of preserving the traditional Arab Gulf artifacts Using modern 3D manufacturing techniques added to maintain Traditional attributes of the original artifact. The methodology included consideration of requirements based on functionality, aesthetics and traditional elements, and the viability of techniques of such requirements in addition to practical and cost considerations.    Where the study seeks to provide inputs and examines the intellectual and aesthetic premises of the elements of heritage arts, especially the creative and aesthetic arts. In the artistic artifacts in the heritage Arab Gulf region of an artistic, aesthetic, and structural nature, with richness and diversity in the formal and structural forms of traditional Arab Gulf metal products.  As daily life tools such as jugs, trays, incense burners, candlesticks, bowls, cans, dallahs, irons, mirrors, and other metallic artifacts, which represents a fertile source of inspiration, and fertilizes the imagination of the Arab designer to put forward contemporary Arab visions and proposals to enrich design thinking in traditional Arab and Gulf handicrafts and recycling daily life products. And the analytical study of the methods of forming technical design products, their forms and design construction, the materials through which they were designed and formulated, the traditional and new molding methods and techniques, the manufacturing materials, and the surface decorations and textures that dealt with the design plane. To raise the level of creativity and idea, to be inspired by heritage through a special style Heritage and its elements are presented in innovative modernist formulations.

Dejan Grba

AI art comprises a spectrum of creative endeavors that emerge from and respond to the development of artificial intelligence (AI), the expansion of AI-powered economies, and their influence on culture and society. Within this repertoire, the relationship between the cognitive value of human vision and the wide application range of computer vision (CV) technologies opens a sizeable space for exploring the problematic sociopolitical aspects of automated inference and decision-making in modern AI. In this paper, I examine the art practices critically engaged with the notions and protocols of CV. After identifying and contextualizing the CV-related tactical AI art, I discuss the features of exemplar artworks in four interrelated subject areas. Their topical imbrications, common critical points, and shared pitfalls plot a wider landscape of tactical AI art, allowing me to detect factors that affect its poetic cogency, social responsibility, and political impact, some of which exist in the theoretical premises of digital art activism. Along these lines, I outline the routes for addressing the challenges and advancing the field.

Dejan Grba

In this paper, I take the cultural effects of generative artificial intelligence (generative AI) as a context for examining a broader perspective of AI's impact on contemporary art notions. After the introductory overview of generative AI, I summarize the distinct but often confused aspects of art notions and review the principal lines in which AI influences them: the strategic normalization of AI through art, the representation of AI art in the artworld, academia, and AI research, and the mutual permeability of art and kitsch in the digital culture. I connect these notional factors with the conceptual and ideological substrate of the computer science and AI industry, which blends the machinic agency fetishism, the equalization of computers and humans, the sociotechnical blindness, and cyberlibertarianism. The overtones of alienation, sociopathy, and misanthropy in the disparate but somehow coalescing philosophical premises, technical ideas, and political views in this substrate remain underexposed in AI studies so, in the closing discussion, I outline their manifestations in generative AI and introduce several viewpoints for a further critique of AI's cultural zeitgeist. They add a touch of skepticism to pondering how technological trends change our understanding of art and in which directions they stir its social, economic, and political roles.

T. Lubis, Firmansyah Firmansyah, Ida Masriani et al.

Traditional arts and crafts play a vital role in enhancing village tourism by attracting visitors, creating immersive cultural experiences, and contributing to economic sustainability. This study examines the impact of traditional performances and high-quality handcrafted products on tourist satisfaction and overall tourism success. Using a structured research approach, data were collected and analyzed to evaluate how arts and crafts influence tourism appeal, visitor engagement, and local economic benefits. The findings indicate that traditional arts significantly enhance visitor experiences through cultural performances, while traditional crafts reinforce destination identity by offering unique, high-quality souvenirs. Moreover, tourist satisfaction emerges as a key determinant of village tourism success, emphasizing the importance of well-managed arts and crafts initiatives. However, challenges such as financial limitations, lack of innovation, and inadequate marketing strategies hinder the full potential of these tourism assets. The study highlights the need for collaborative efforts among tourism managers, policymakers, artisans, and local communities to sustain and further develop traditional arts and crafts as integral components of village tourism. Strengthening policies, enhancing promotional strategies, and improving market accessibility are essential to ensuring long-term sustainability and economic growth in rural tourism destinations.

Luvitha Eka Nirmala, Evi Wahyuning Tias, Yus Safik Udin et al.

Kandangan Village, known for its rich cultural heritage, faces challenges in preserving traditions and fostering youth entrepreneurship. The Student Organization Capacity Strengthening Program (PPK Ormawa) was implemented to increase cultural awareness, develop cultural infrastructure, and empower the younger generation through arts-based businesses. The program includes traditional arts and entrepreneurship training, digital marketing promotion, and the establishment of the Tengger Brang Wetan Cultural Museum. The museum serves as an educational center and tourist attraction, showcasing local arts, crafts, and oral traditions. As a result, community participation in cultural activities increased, leading to the creation of youth-led businesses in handicrafts, culinary arts and cultural tourism. Digital platforms also helped increase public engagement and tourism. The findings highlight the importance of cultural preservation as an economic driver, demonstrating that participatory approaches can sustain local heritage while promoting economic growth in rural communities.

Dana Rohanová, Hedvika Sedláčková

This lesser-known series of six goblets from Bardejov provides specific information about the distribution of Venetian glass to the countries north of the Alps and also about the efforts to imitate it in local glasshouses. Other covered goblets with chalice-shaped cups from the 1480s to early sixteenth century are known from present-day Hungary and Slovakia. SEM/EDS analyses of the glass and enamel compositions reveals the use of brass in the enamel, as has been seen for the same period in Hungary, and one goblet's origins can be traced to Venice.

Shelly Xue, Yi Zhai

This paper examines the glass pagodas produced in the Qing imperial palace for Tibetan Buddhist rituals. Drawing from archival and material evidence, it explores the innovative techniques of the Imperial Glass Workshops in creating these intricate, multi-component objects. Combining glassblowing, casting, and cold-working methods, the pagodas showcase exquisite craftsmanship and the symbolic significance of glass in Buddhism. The study situates these artifacts within the broader context of Qing Buddhist culture, revealing the esteem for glass as one of the Seven Treasures in Buddhism and its multifaceted roles. By analyzing their production, decoration, and contexts, the research illuminates the intersections of art, religion, and imperial patronage embodied in these artifacts. It contributes insights into Qing material culture and the esteem for glass in Buddhist practice.

Corey Ford, Elizabeth Wilson, Shuoyang Zheng et al.

This third international workshop on explainable AI for the Arts (XAIxArts) brought together a community of researchers in HCI, Interaction Design, AI, explainable AI (XAI), and digital arts to explore the role of XAI for the Arts. Workshop held at the 17th ACM Conference on Creativity and Cognition (C&C 2025), online.

Nahdya Nurul Safitri, A. Nurharini, Gunadi et al.

The main problem is lack education of students, especially class IV SDN Petompon 02 regarding the proper and correct disposal and use waste, especially plastic waste. Research was carried out by giving pretest questions to control and experimental classes before giving treatment to  experimental class, the end of lesson they were given post-test questions after being given treatment the experimental class, data collection was also taken from questionnaires that had been filled by students. Results this research show the increase in student creativity is high category , meaning use plastic waste as a medium for making handicrafts is effectively used in learning to increase student creativity in craft materials from plastic waste. The novelty of this research is fun learning not only increases students' creativity utilizing plastic waste, but also increases the creativity and artistic spirit of class IV students making crafts from plastic waste student creativity. The results of this research, can help readers find out methods and benefits, as well as the importance reprocessing waste into various forms crafts. This research aims to determine student activities and test effectiveness using plastic waste as medium for making handicrafts to increase activity of class IV students SD Negeri Petompon 02.

Nick Bryan-Kinns, Corey Ford, Shuoyang Zheng et al.

This second international workshop on explainable AI for the Arts (XAIxArts) brought together a community of researchers in HCI, Interaction Design, AI, explainable AI (XAI), and digital arts to explore the role of XAI for the Arts. Workshop held at the 16th ACM Conference on Creativity and Cognition (C&C 2024), Chicago, USA.

Ivan Rinaldi, Nicola Fanelli, Giovanna Castellano et al.

Artificial Intelligence and generative models have revolutionized music creation, with many models leveraging textual or visual prompts for guidance. However, existing image-to-music models are limited to simple images, lacking the capability to generate music from complex digitized artworks. To address this gap, we introduce $\mathcal{A}\textit{rt2}\mathcal{M}\textit{us}$, a novel model designed to create music from digitized artworks or text inputs. $\mathcal{A}\textit{rt2}\mathcal{M}\textit{us}$ extends the AudioLDM~2 architecture, a text-to-audio model, and employs our newly curated datasets, created via ImageBind, which pair digitized artworks with music. Experimental results demonstrate that $\mathcal{A}\textit{rt2}\mathcal{M}\textit{us}$ can generate music that resonates with the input stimuli. These findings suggest promising applications in multimedia art, interactive installations, and AI-driven creative tools.

Piera Riccio, Georgina Curto, Thomas Hofmann et al.

At a time when the influence of generative Artificial Intelligence on visual arts is a highly debated topic, we raise the attention towards a more subtle phenomenon: the algorithmic censorship of artistic nudity online. We analyze the performance of three "Not-Safe-For-Work'' image classifiers on artistic nudity, and empirically uncover the existence of a gender and a stylistic bias, as well as evident technical limitations, especially when only considering visual information. Hence, we propose a multi-modal zero-shot classification approach that improves artistic nudity classification. From our research, we draw several implications that we hope will inform future research on this topic.

Tao Tang, Hong Liu, Yingxuan You et al.

Although existing video-based 3D human mesh recovery methods have made significant progress, simultaneously estimating human pose and shape from low-resolution image features limits their performance. These image features lack sufficient spatial information about the human body and contain various noises (e.g., background, lighting, and clothing), which often results in inaccurate pose and inconsistent motion. Inspired by the rapid advance in human pose estimation, we discover that compared to image features, skeletons inherently contain accurate human pose and motion. Therefore, we propose a novel semiAnalytical Regressor using disenTangled Skeletal representations for human mesh recovery from videos, called ARTS. Specifically, a skeleton estimation and disentanglement module is proposed to estimate the 3D skeletons from a video and decouple them into disentangled skeletal representations (i.e., joint position, bone length, and human motion). Then, to fully utilize these representations, we introduce a semi-analytical regressor to estimate the parameters of the human mesh model. The regressor consists of three modules: Temporal Inverse Kinematics (TIK), Bone-guided Shape Fitting (BSF), and Motion-Centric Refinement (MCR). TIK utilizes joint position to estimate initial pose parameters and BSF leverages bone length to regress bone-aligned shape parameters. Finally, MCR combines human motion representation with image features to refine the initial human model parameters. Extensive experiments demonstrate that our ARTS surpasses existing state-of-the-art video-based methods in both per-frame accuracy and temporal consistency on popular benchmarks: 3DPW, MPI-INF-3DHP, and Human3.6M. Code is available at https://github.com/TangTao-PKU/ARTS.

Daniel M. Bot, Jan Aerts

Dimensionality reduction algorithms are often used to visualise high-dimensional data. Previously, studies have used prior information to enhance or suppress expected patterns in projections. In this paper, we adapt such techniques for domain knowledge guided interactive exploration. Inspired by Mapper and STAD, we present three types of lens functions for UMAP, a state-of-the-art dimensionality reduction algorithm. Lens functions enable analysts to adapt projections to their questions, revealing otherwise hidden patterns. They filter the modelled connectivity to explore the interaction between manually selected features and the data's structure, creating configurable perspectives each potentially revealing new insights. The effectiveness of the lens functions is demonstrated in two use cases and their computational cost is analysed in a synthetic benchmark. Our implementation is available in an open-source Python package: https://github.com/vda-lab/lensed_umap.

Chenhan Huang

. This article provides new insights into art and design methods for protecting styles in deep learning by preprocessing and technical identification of comprehensive datasets of different arts. This article plans a craftsman recognition style for artistic processing. The training set process of feature recognition uses algorithm recognition to accurately recognize the expected style of the model classifier of the source image. It uses a classifier to train a recognition model for precise style transfer based on the framework of handmade works. At the same time, it utilized the transfer algorithm of the target style to perform simple training model style optimization on the classifier. The research results are presented in the table. With the combination of cultural and artistic model image content, the DL model in this paper has a relatively high advantage in image accuracy recognition. This not only enriches the target style conversion of handicrafts but also protects and overlaps the artistic style of the model's image with digital craftsmanship. The foundation has been laid for the recognition of image styles to protect traditional art.

Jiajun Zhu

: With the development of the times, people's pursuit of art has also changed, and it is no longer limited to ordinary traditional arts and crafts, so researchers have followed the trend of the times and started to combine traditional arts and crafts with modern creative ideas. Traditional arts and crafts, as an important part of traditional arts and crafts, reflect the material production level and spiritual aesthetic characteristics in a specific era. The short video media, represented by Aauto Quicker and Tik Tok, with its vivid presentation, transforms the oral traditional handicrafts into short videos, spreads the traditional handicraft culture visually, makes the traditional handicrafts "visible" and "tangible", and reverses the social stereotype of traditional handicrafts, so that more people, especially teenagers, can re-recognize and accept traditional handicrafts. Based on this, the author takes Tiktok as the research object, and makes a specific analysis of the spread of traditional technology in Tiktok short video platform. Propose specific optimization path, including craftsmen should start from the production, dissemination and account operation of traditional craft content; The short video platform should take the initiative to activate the traditional process content and industrial vitality.

Nick Bryan-Kinns, Courtney N. Reed

Evaluation is essential to understanding the value that digital creativity brings to people's experience, for example in terms of their enjoyment, creativity, and engagement. There is a substantial body of research on how to design and evaluate interactive arts and digital creativity applications. There is also extensive Human-Computer Interaction (HCI) literature on how to evaluate user interfaces and user experiences. However, it can be difficult for artists, practitioners, and researchers to navigate such a broad and disparate collection of materials when considering how to evaluate technology they create that is at the intersection of art and interaction. This chapter provides a guide to designing robust user studies of creative applications at the intersection of art, technology and interaction, which we refer to as Media and Arts Technology (MAT). We break MAT studies down into two main kinds: proof-of-concept and comparative studies. As MAT studies are exploratory in nature, their evaluation requires the collection and analysis of both qualitative data such as free text questionnaire responses, interviews, and observations, and also quantitative data such as questionnaires, number of interactions, and length of time spent interacting. This chapter draws on over 15 years of experience of designing and evaluating novel interactive systems to provide a concrete template on how to structure a study to evaluate MATs that is both rigorous and repeatable, and how to report study results that are publishable and accessible to a wide readership in art and science communities alike.

Na Wang, S. Abidin, N. Shaari et al.

Abstract Starting from the construction of the perceptual engineering model, this paper gives the research objective of consumer perceived demand for fiber art handicrafts in the Internet era and designs the corresponding perceived SD scale according to consumer perceived demand. Factor analysis, the results show that for embroidery handicrafts, more attention is placed on grad in consumer perceived needs, with a factor loading eigenvalue of 4.647, and the grade variability of embroidery handicrafts is 27.336%. The consumer perception under the cluster 1 category of handmade blankets is mainly the grade, and its percentage is the highest at 26.698%, and the influence factor of style in bamboo and grass woven products is the highest at 23.078%. The design of fiber art handicrafts oriented to perceptual engineering needs to fully explore the consumer’s perception needs in order to promote innovation and development of fiber art handicrafts.

Gourimani Naik, Sishir Tripathy

Odisha’s tribal heritage is rich and diverseand among its many communities the Gond people of Keonjhar district stand out for their vibrant cultural traditions. This study focuses on the Gonds' artistic expressionsespecially their paintings, crafts and traditional dancesthat continue to thrive in northern Odisha. The Gond community is particularly known for the intricate artwork they paint on the outer walls of their homes believing it brings good fortune.The research concentrates on Gond art found in the Telkoei and Ghatagaon blocks of Keonjhar examining the unique styles, patterns, motifs, colour choices and materials used. It also highlights the organizations working to preserve and promote this artistic heritage.The Gond people are equally known for their traditional dances including the Sword Dance. While these dances are still performed in Keonjhar and neighbouring Mayurbhanj the Sword Dance is now at risk of disappearing making preservation efforts urgent.The Gond tribe is one of the most significant tribal communities in Odisha and Central India. The name "Gond" is believed to derive from the word “Kond,” referring to the lush green hills described in their Dravidian language. The Gonds of Keonjhar are especially recognized for their folk art and cultural traditions painting, music and dance which offer valuable insights for scholars and cultural historians. This study represents a modest but meaningful effort to document and preserve these important aspects of Gond cultural life.

Z. A. Dada, Rabia Quisar, M. Lone et al.

Kashmir region is known for its handicraft industry all over the world. The purpose of this study is to determine the impact of the quality of Kashmiri handicrafts on satisfaction and repurchasing intention. The present study is descriptive and convenience sampling method was employed. The data was collected at Srinagar the summer capital of Jammu and Kashmir. The structured questionnaire was distributed among 80 tourists. The findings of this study revealed, there is a strong and positive relationship between the quality of Kashmiri handicrafts, satisfaction, and repurchasing intention. The study verified all the hypotheses using the path coefficient method. Impact of quality of Kashmiri handicrafts on satisfaction and repurchasing intention and lastly the impact of satisfaction on repurchasing intention were found to be statistically significant. Furthermore, the study explores the role of satisfaction in mediating the relationship between the quality of Kashmiri handicrafts and repurchasing intention.