SPECIAL ISSUE ON INTELLIGENT EVALUATION EMOTION ANALYTICS AND AI-BASED ASSESSMENT IN DIGITAL ART

Authors

  • Saurabh Bhattacharya Assistant Professor, School of Computer Science & Engineering, Galgotias University, Greater Noida, UP

DOI:

https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6928

Abstract [English]

It is with great pleasure that we present this special issue of ShodhKosh: Journal of Visual and Performing Arts, titled “Intelligent Evaluation, Emotion Analytics, and AI-Based Assessment in Digital Art.” This special issue responds to a critical and timely need within contemporary creative practice and education, where digital art has evolved beyond static visual expression into an intelligent, data-driven, and emotionally responsive domain.
With the integration of Artificial Intelligence, digital artworks today function as interactive systems capable of adaptation, interpretation, and emotional engagement. While such advancements have expanded the expressive and pedagogical possibilities of digital art, they have also introduced complex challenges related to evaluation, assessment, and interpretation of creativity and emotional impact. Traditional evaluative frameworks often fall short in addressing the multidimensional, subjective, and experiential nature of digital creativity.
Recent developments in emotion analytics, affective computing, machine learning, and intelligent assessment systems offer promising pathways to address these challenges. AI-based models now enable the analysis of visual features, emotional responses, interaction patterns, and contextual data, allowing for more objective, scalable, and reproducible approaches to evaluating digital art and creative performance. These technologies also hold transformative potential for art education, supporting automated feedback, learning analytics, and fair assessment mechanisms.
The papers selected for this special issue reflect a rich interdisciplinary dialogue bridging technology, visual culture, psychology, pedagogy, and creative practice. Contributions explore intelligent evaluation models for digital art, AI-driven creativity assessment frameworks, deep learning approaches to aesthetic quality measurement, emotion recognition in visual and interactive art, and multimodal emotion analysis using image, video, and interaction data. Several studies also address automated grading systems, feedback generation, and data-driven evaluation strategies within digital art education environments.
This special issue welcomes both theoretical insights and applied research, highlighting how intelligent systems can support meaningful evaluation without undermining artistic subjectivity. A recurring theme across the contributions is the importance of ethical responsibility, interpretability, and human-centered design in AI-based assessment systems, ensuring that technological advancement complements rather than constrains creative expression.
P4C1T1#y6
P4C1T1#y5
P4C1T1#y4
P4CT#y3
P4CT#y
P4CT#y
ShodhKosh: Journal of Visual and Performing Arts 2
The call for papers attracted a diverse range of submissions from researchers, educators, technologists, and practitioners working at the intersection of art and artificial intelligence. All manuscripts underwent a rigorous peer-review process to maintain the scholarly standards of ShodhKosh. The resulting collection represents a curated body of work that advances current understanding while opening new avenues for research and pedagogical innovation.
We express our sincere gratitude to all authors for their valuable contributions, to the reviewers for their critical insights, and to Granthaalayah Publications for their continued support in promoting interdisciplinary research in the visual and performing arts. Their commitment has been instrumental in bringing this special issue to fruition.
We hope this volume will stimulate thoughtful discussion, inspire future research, and contribute meaningfully to the evolving discourse on intelligent evaluation and emotional analytics in digital art. May it serve as a resource for scholars and practitioners seeking to navigate the complex relationship between creativity, emotion, and artificial intelligence.


 


Issue Editor:


Dr. Saurabh Bhattacharya
Assistant Professor, School of Computer Science & Engineering, Galgotias University, Greater Noida, UP, India
Email: babu.saurabh@gmail.com


Anuj Kumar
Assistant Professor, Department of Hindi, Nagaland Univeristy, Kohima Campus, Meriema, Nagaland, India
Email: anujkumarg@gmail.com


Prof Dr Shreyas Dingankar
Institute of Management and Entrepreneurship Development, Bharati vidyapeeth Deemed to be university, Pune, India
Email: shreyas.dingankar@bharatividyapeeth.edu


Dr. Pastor R. Arguelles Jr.
Director, Research and Publication Office, University of Batangas Lipa City, Philippines
Email: pastor.arguelles@ub.edu.ph


M. Rajendra Nath Babu
Associate Professor, Department of Education, Nagaland University, Kohima Campus, Meriema, Kohima (dt.), Nagaland, India
Email: mrnb.svu@gmail.com


Dr. Indrani Hazarika
Department of Business and Specialization Accounting, Higher Colleges of Technology, United Arab Emirates
Email: ihazarika@hct.ac.ae

Downloads

Published

2025-12-20

How to Cite

Bhattacharya, S. (2025). SPECIAL ISSUE ON INTELLIGENT EVALUATION EMOTION ANALYTICS AND AI-BASED ASSESSMENT IN DIGITAL ART. ShodhKosh: Journal of Visual and Performing Arts, 6(3s), 1–3. https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6928