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International Journal of Graphic Design
Published by Universitas Sains Dan Teknologi Komputer
ISSN : 29880343     EISSN : 29879434     DOI : 10.51903
Core Subject : Science, Art,
Arts Computer Science & IT
This journal is a peer-reviewed and open Visual Communication Design Publication Journal. The fields of study in this journal include the sub-groups of Performing Arts, Arts, journalistic, Crafts, Media, and Design. The Art, Design, and Media Research
Arjuna Subject : Ilmu Komputer (semua kategori) - Grafik Komputer dan Desain Berbantu Komputer
Articles 51 Documents
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Vertical Social Infrastructures: Redefining Community Interaction In High-Rise Urban Housing Zuzana, Zuzana; Štrochová, Štrochová
International Journal of Graphic Design Vol. 3 No. 2 (2025): October| IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v3i2.3103

Abstract

This study examines how graphic design functions as a social infrastructure within high-rise urban housing, shaping interactions, identity, and collective well-being. Urbanization has driven vertical expansion, creating new spatial and social challenges that affect community cohesion. While existing research in architecture and urban sociology has focused on spatial design and technological efficiency, this study highlights the overlooked role of visual communication as an active mediator of social relations. The research introduces the concept of Vertical Social Infrastructures, which reframes high-rise housing as a visual–social system rather than merely a physical structure. Using comparative analysis, the study explores how graphic elements, color, signage, murals, and typography can guide interaction and create shared narratives in dense residential settings. The study explicitly contributes to the field of graphic design by demonstrating how visual communication — including color, signage, murals, and typography — mediates social interaction and spatial behavior in vertical housing environments. This connection reinforces the journal’s focus on the intersections between design, media, and society, positioning graphic design as both an analytical and infrastructural framework for community engagement. The findings demonstrate that graphic design serves as a connective infrastructure, enhancing spatial legibility and fostering social engagement. By integrating theories from design studies, social infrastructure, and urban communication, this paper contributes a cross-disciplinary framework for understanding design as a medium of social sustainability. The results suggest that visual design strategies can transform vertical housing into inclusive, participatory, and emotionally resonant environments.
Adaptive Graphic Interaction Model: A Mixed-Method Framework for Future Factory Design Mendez, Laura; Okafor, Samuel
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.3194

Abstract

This study investigates the role of visual interfaces in enhancing human-machine interaction in high-tech factory environments. The research focuses on the Adaptive Graphical Interaction Model (AGIM), which integrates graphic design principles with adaptive visual interactions to support context-sensitive user tasks. A mixed-methods approach was employed: domain specialists were interviewed, and experimental lab tests of prototype interfaces were conducted to measure user experience, cognitive load, and visual usability. Quantitative metrics from UX tools and qualitative coding of observed behavior were used to assess performance under different simulated operating conditions. Results indicate that AGIM reduces cognitive load by 18% on average and improves task efficiency by 12% compared to static interfaces, supporting the practical effectiveness of adaptive visual systems. The findings also suggest that context-sensitive graphical adaptations enhance intuitive navigation and user engagement. Overall, AGIM provides both conceptual guidance for interface design and practical applications for engineers and designers aiming to develop adaptive, context-aware visual systems in industrial settings. The study is framed as an exploratory design investigation, highlighting potential rather than asserting definitive claims.
Designing with the Brain in Mind: A Neuroaesthetic Pedagogy Framework Fernández, Carlos; Nováková, Petra
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.3199

Abstract

Contemporary graphic design education necessitates a deeper understanding of how aesthetic experience and cognitive processes shape creativity and empathetic comprehension in visual communication. Insights into how the brain perceptually and affectively interprets design can support the development of self-aware designers who respond more sensitively to human needs. Drawing on neuroaesthetics and design cognition, this study proposes an interdisciplinary approach that integrates creative pedagogy with the science of perception. This research introduces the Neuroaesthetic Pedagogy Framework (NPF) as an initial, exploratory framework that connects neurodesign principles with pedagogies of visual empathy and adopts an exploratory design-based research (DBR) methodology. Three iterative cycles were conducted as context-specific pedagogical interventions within a graphic design course, involving teaching experiments, reflective journals, and analyses of neuroaesthetic engagement. Thirty-eight undergraduate graphic design students participated over one semester, with observations focusing on cognitive and affective engagement in visual problem-solving activities. The findings suggest observable improvements in design cognition, particularly in visual reasoning and empathic decision-making, rather than statistically conclusive effects. The NPF indicates the potential to interconnect analytical and affective cognitive processes, supporting more emotionally informed design outcomes. This study concludes that the NPF demonstrates promise in bridging graphic design education and neuroscience by framing creative learning as an iterative process of aligning perception, cognition, and empathy, while highlighting the emerging importance of neuroaesthetic literacy in graphic design pedagogy.
From Points to Insight: Gamifying Reflective Thinking in Design Education Larsen, Oskar; Al-Farsi, Aisha
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.3206

Abstract

Reflective practice in design education is often marginalized as a post-hoc evaluative task rather than conceptualized as a central creative and epistemic process. In this study, reflective practice is reconceptualized as a gamified learning framework that fosters metacognition, visual empathy, and self-awareness through interactive design strategies. The primary objective was to examine the extent to which gamification elements, including feedback cycles, progress visualization, and reward structures, enhance concept retention, reflective insight, and comprehension of design processes among 36 undergraduate graphic design students. Using a mixed-methods, design-based research approach, data were collected across three iterative learning cycles through digital activity logs, reflective journals, and semi-structured interviews. Quantitative analysis using paired-sample t-tests revealed a statistically significant 18% improvement in reflective accuracy and a 20% increase in conceptual retention (p < 0.05) following the implementation of gamified reflective activities. Platform analytics further indicated a 92% task completion rate, suggesting increased learner engagement associated with visual feedback and reward mechanisms. Qualitative thematic analysis identified three interrelated dimensions of reflective learning: emotional resonance, sensory awareness, and social connectedness, highlighting the multidimensional nature of reflection in gamified environments. Overall, the findings suggest that gamified reflection can support more active and emotionally engaging learning processes, positioning reflective practice as a form of “learning through play” and offering a pedagogical framework to enhance empathy, self-awareness, and reflective thinking in visual design education.
AI-Assisted Mood Board Development: Enhancing Creative Ideation in Graphic Design Education Anggarini, Anggi; Pramesti, Rachmadita Dwi
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.3214

Abstract

This study examines how integrating Artificial Intelligence (AI) into mood board development enhances the ideation process in graphic design education. The research aimed to understand how AI-supported visual exploration influences students’ originality, complexity, and goal alignment during creative concept development. A mixed-method approach was employed, combining quantitative rubric-based evaluation of student mood boards with qualitative thematic analysis of interviews and classroom observations to capture both performance outcomes and design thinking processes. The findings show that AI tools expanded visual exploration and improved conceptual clarity, yet their effectiveness depended on how critically students engaged with prompt iteration and keyword synthesis. Students who refined descriptive keywords and combined AI outputs with digital imaging achieved higher originality and coherence. Complexity increased when students generated multiple AI iterations from different visual angles, whereas goal alignment benefited from structured mind mapping informed by tone and manner. Qualitative results revealed six interrelated themes: idea exploration, AI assistance, visual curation, AI limitations, ethics and reflection, and implementation recommendations, highlighting the interplay between human judgment and computational generation. Overall, the study affirms that mood board development remains essential in guiding conceptual direction and visual storytelling in design education. AI serves as a creative collaborator that supports deeper ideation and expands the boundaries of visual experimentation in contemporary design learning.
Human-AI Collaborative Adaptive Typeface Generation: Eye-Tracking Fixation Metrics in Instagram Branding Henry, Oliver; Charlotte, Mia
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.3289

Abstract

Integrating artificial intelligence into typographic design opens new opportunities for social media branding, especially on visually intensive platforms like Instagram. This study investigates how typefaces developed in collaboration with AI may influence visual engagement metrics. We designed an assessment framework that couples collaborative typeface generation with simulated eye-tracking analysis. Three adaptation scenarios were evaluated: static, semi-adaptive, and fully adaptive typefaces, based on fixation duration, fixation count, and heatmap visualization. Interestingly, when analyzing the simulation results, a pattern emerged: the typefaces generated through iterative human-AI processes tended to attract longer, more frequent visual fixations. These preliminary results thus point to the potential value of collaborative approaches to typographic design in social media contexts. The present study provides a methodological framework to assess AI-assisted visual assets using human attention metrics.
Simulating Sustainable Color-Form Decisions in AI-Driven Eco-Brand Identity Design Elena, Sofia; Alexander, Liam
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.3313

Abstract

Integrating sustainability into brand identity design remains challenging, as the harmony between visual aesthetics, primarily color and shape, and eco-branding values often relies on subjective judgment, highlighting a lack of data-driven approaches. While AI-assisted design tools have demonstrated utility, their primary focus remains on aesthetic generation rather than sustainable design optimization. This research addresses this gap by proposing a simulation-based framework that, through simulation and expert review, examines and evaluates how AI-assisted color-form choices influence both aesthetic consistency and ecological brand alignment. Using synthetic data and scenario modeling, we created a simulation that analyzes color and form parameters against sustainability indicators across three scenarios: Aesthetic-only, Sustainability-only, and an Integrated Eco-Aesthetic approach. Eco-Alignment was computed using cosine similarity of semantic embeddings across 50 simulation runs for each scenario, providing a quantifiable measure of semantic consistency with eco-brand values. The results indicate that the integrated approach outperformed single-focus scenarios in balancing aesthetic harmony and eco-alignment. At the same time, the Color-Form Sustainability Matrix identified specific combinations, such as earthy tones paired with organic shapes, that achieved the highest Eco-Alignment Scores. This study contributes methodologically by linking computational aesthetics with sustainable design through structured simulation, offering designers an evidence-informed framework for making visual decisions that support environmental ethos and reduce resource-intensive trial-and-error design processes.
The Role of AI-Driven Generative Design in Enhancing Visual Communication: A Computational Creativity Approach McLeena, McLeena; Laura, Jenn
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.2350

Abstract

The integration of artificial intelligence (AI) in graphic design has led to the emergence of generative design, a technique that automates and optimizes visual composition through computational creativity. This study explores the impact of AI-driven generative design on visual communication, focusing on its effectiveness in enhancing creativity, efficiency, and user engagement. The research employs a mixed-method approach, combining quantitative analysis of AI-generated visual outputs with qualitative insights from professional designers. Experimental evaluations were conducted using AI-based design tools to generate branding materials, advertisements, and digital media assets, followed by comparative assessments with human-created designs. The findings reveal that AI-driven generative design significantly improves workflow efficiency by reducing design iteration time by 40% while maintaining high aesthetic appeal. Moreover, AI-enhanced visual communication demonstrates increased adaptability to diverse audience preferences, as evidenced by a 25% improvement in user engagement metrics. Despite these advantages, ethical concerns regarding originality and authorship remain key challenges in AI-assisted creative processes. This study contributes to the ongoing discourse on AI integration in the creative industry by providing empirical evidence on the role of computational creativity in shaping the future of graphic design. The results suggest that AI-driven generative design can serve as a collaborative tool rather than a replacement for human designers, fostering innovation and efficiency in visual communication.
Generative AI as a Live Design Mentor: A Mixed-Reality Approach to Graphic Design Education Solikhan, Muhammad; Priyadi, Agus; MacDonald, Don; Noramai, Avee
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.2375

Abstract

The transformation of graphic design education in the post-pandemic era has introduced new challenges in fostering meaningful visual interactions between students and AI-based technologies. This context calls for design approaches that are not only technically adaptive but also conceptually reflective. This study aims to explore and develop a visual approach to capture the creative engagement of design students in hybrid learning environments, specifically through prompt-based experimentation with AI-generated visuals. The research adopts a Design-Based Research (DBR) methodology in a single-case study, involving iterative cycles of visual design, reflection, and evaluation. Data were collected through observation, design documentation, and narrative analysis of visual outputs. The findings reveal that AI prompt interventions encouraged a reinterpretation of the creative process, highlighting students' roles as active interpreters in shaping meaningful visuals. The project outcomes include a series of digital experimental visuals that symbolically and contextually represent human–AI interaction. This study concludes that designers must be positioned as meaning-makers within AI-assisted visual systems, and it opens possibilities for more inclusive and participatory design practices in the future. The implication is that graphic design can serve as a critical bridge between technology, human values, and ethical visual communication within the evolving landscape of digital learning.
AI-Enhanced Generative Motion Design for Interactive Digital Storytelling Nihayah, Azed Yayah Durrotun; Marchel, Joseflim; Henry, Lawrence
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.2413

Abstract

The increasing demand for dynamic digital content has positioned motion graphics as a key medium in contemporary visual communication. However, conventional motion design workflows remain largely static and production-oriented, limiting their capacity to support adaptive and interactive storytelling. This study introduces an AI-enhanced generative motion design framework that integrates generative visual formation, temporal animation logic, and user-driven interaction within a unified system. The framework embeds generative AI directly into the motion design process, enabling visual elements to evolve continuously in response to contextual input and user interaction. A three-layer architecture, comprising generative, motion, and interaction components, is implemented in a functional prototype to support non-linear and responsive narrative structures. The system is evaluated through a combination of structured observation and user-oriented assessment, involving 8 participants with backgrounds in digital media and design. The results indicate that the proposed approach produces visually coherent yet evolving motion graphics while supporting real-time responsiveness to user input. Compared with conventional workflows, the framework demonstrates greater adaptability and variability without compromising narrative consistency. These findings highlight the potential of integrating generative processes with motion and interaction to support adaptive visual storytelling.

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