International Journal of Arts and Technology (4 papers in press)

Regular Issues

• Reclaiming Narratives: Using Technology to Strengthen Underrepresented Voices  
  by Priyanka Kumari, Rajiv Bhushan, Maninder Kapoor 
  Abstract: Caste oppression is one of the biggest evils in Indian society. With the advent of digital media, there has been an increase in people engaging in caste discourse. Participation on the internet has produced a brand-new public space where activity and discord are possible. Digital media challenges Hindu castes' claim to be superior to Dalits. It helps to strengthen Dalit subjecthood again after a protracted period of inferiority. The popularity of Dalit weblogs has increased, and it can be easily differentiated from mainstream blogging. Dalits were not discussed in popular blog posts. The plight of the Dalits was brought to the world's attention by writers like Meena Kandasamy, Yashica Dutt, and Suraj Yengde. Movements like Dalit Lives Matter were sparked by the medias Black Lives Matter influence. This article aims to show how Dalits have gained a voice through internet caste discourse.
  Keywords: caste; Dalit; digital; discourse; discrimination; voice.
  DOI: 10.1504/IJART.2024.10062234
   
  
• User-Centered Digital Knowledge Repository of Jin Dynasty Costumes as a Learning Tool for Cultural Experience  
  by Oulu Yue, Atithep Chaetnalao 
  Abstract: This study develops a digital knowledge repository for Jin Dynasty costumes to improve public awareness and understanding of this cultural heritage. Objectives include: 1) exploring user experience in traditional costume culture; 2) creating a user-centred prototype for interactive learning about Jin Dynasty culture; 3) assessing the repository s educational value with expert and user evaluations. The study utilised qualitative and quantitative methods such as questionnaires, interviews, tests, and evaluations, revealing increased public interest and understanding of Jin Dynasty costumes. This study underscores the repository s importance in cultural education. Identified challenges in efficiency and error tolerance suggest improvement areas. This study contributes to interdisciplinary research at the interface between digital cultural heritage preservation and user experience design while also exploring the potential of digital learning tools to enhance cultural education and engagement for a new generation of traditional costume enthusiasts.
  Keywords: cultural heritage preservation; digital knowledge repository; interactive learning tools; Jin Dynasty costumes; user-centred design.
  DOI: 10.1504/IJART.2024.10063956
   
  
• Integrating Artificial Intelligence in Industrial Design: Evolution, Applications, and Future Prospects  
  by Zhenyu Li, Yiyuan Ding, Yaxiong Lei, Fernando Jorge Matias Sanches Oliveir, Maria João Pereira Neto, Mário Say Ming Kong 
  Abstract: The article AI in industry design researches through a scholarly dimension the complex interrelation of artificial intelligence (AI) with the field of industrial design. The paper will seek to discuss the historical trajectory and contemporary application of AI in design parad, discussing these paradigms using an analytical approach that is based on the systematic review of available literature. Special emphasis is paid to the transforming roles of AI in material selection and their implication in paradigmatic shifts from Industry 4.0 to Industry 5.0. The research further underscores the growth in importance of distributed artificial intelligence (DAI) and, in this direction, considers more transparency through explainable AI (XAI). Conclusively, it can be said that the research underlines the seminal influence of AI, which exerts in revolutionising methodologies in design, thereby bringing out the indelible impact it shall leave on the future course of this discipline.
  Keywords: artificial intelligence; AI; industrial design; distributed artificial intelligence; DAI; Industry 4.0; Industry 5.0; explainable AI; XAI.
  DOI: 10.1504/IJART.2024.10065487
   
  
• Exploring Complexity-Entropy, Eye-Tracking, Experience, Creativity, Familiarity, and Emotional Responses to Forty Paintings of Raja Ravi Varma - Father of Indian Modern Art  
  by Dyutiman Mukhopadhyay, Sohhom Bandyopadhyay, Eshwar Venkatesh, Sangeetha Menon 
  Abstract: This study used multi-faceted behavioural and quantitative experimental measures to explore observations of paintings of celebrated 19th-century Indian painter Raja Ravi Varma, widely accepted as the father of Indian modern art. The study tried to trace the different aspects of a subject's emotional and perceptual involvement with his work of art using the emotion classification system in Indian aesthetics based on the Rasa theory. Rigorous analysis was performed to investigate seven hypotheses on art perception and emotion with 40 Ravi Varma paintings featuring 15 different subjects. We looked at various factors like the complexity and entropy of composition, perception based on eye-tracking, art-experience, creativity, familiarity, and emotional reactions. The human eye-tracking data was compared with heat-maps generated through image analysis software. The research provides crucial information about the complex nature of aesthetic experiences and highlights certain limitations of current empirical aesthetics in decoding the subjective experience of art.
  Keywords: aesthetic appeal; painting study; complexity-entropy; eye-tracking; art-experience; creativity; art-familiarity; valence-arousal; Raja Ravi Varma; Indian Academic Realism.
  DOI: 10.1504/IJART.2024.10068007