Abstract : This study analyzed the empirical application of generative AI in low-budget productions through the feature-length hybrid musical film Precious to Me. It detailed a multi-layered AI workflow across the entire production process, including model selection via Perplexity multi-LLM testing, prompt engineering based on the Gemini paid model, AI-assisted integrated production scheduling, reference-based image generation, and image-to-video conversion. While technical limitations such as character inconsistency and difficulties in reproducing actors' facial expressions were clearly identified during the research, these were overcome through creative practical responses, including indirect image representation and manual supplementation, thereby securing production efficiency. These achievements demonstrate that the creator's judgment in finally selecting and placing AI-generated content remains the core of filmmaking. This study suggests that the rapid advancement of AI technology will further refine and expand the subjective role of creators, providing practical standards and a methodological foundation for realizing commercial quality using AI in low-budget production environments.
Keyword : Generative AI, Low-Budget Film Production, Prompt Engineering, Image-to-Video, Human-AI Collaboration
http://dx.doi.org/10.29056/jdaem.2026.06.01
Abstract : With the spread of Kling technology, the text-to-video (T2V) platform is emerging as a new tool for creating video content. However, in the process of generating images based on diffusion models, character drift phenomena in which the appearance and identity of the same characters are not consistently maintained between clips are repeated, and a systematic creative methodology study is required. The purpose of this study is to empirically investigate the effect of the prompt's appearance description detail and input method on visual consistency, the effect of the personality description method and the application of the Disney 12 principle on the audience's perception of character identity. As a research method, a two-factor design-based generation experiment (total of 30 clips, SSIM measurement) with appearance description details (low, medium, and high) and input methods (T2V and I2V) as independent variables, a personality description method (non-technical, adjective description, behavioral context description), and a recipient perception survey (n=60) using the Disney principle as independent variables were conducted. Through this, we explore the possibility of combining traditional animation creation theory and Generative AI creation methodology, and propose a guideline for designing character prompts specific to the Kling environment.
Keyword : Kling, Prompt engineering, Character consistency, Character identity, Generative AI
http://dx.doi.org/10.29056/jdaem.2026.06.02
Do Vision Foundation Models Understand Volume Renderings?
Abstract : Vision Foundation Models (VFMs) are pre-trained on large-scale natural image datasets and possess strong capabilities for capturing both morphological structures and complex contextual patterns in images. In contrast, Direct Volume Rendering (DVR) images contain more intricate information than natural images, as they project 3D volumetric data onto a 2D plane while incorporating transparency accumulation and the optical properties defined by a transfer function. This study investigates whether VFMs pre-trained solely on natural images can also extract meaningful featuresDVR images. To this end, we analyze the image encoders of three representative VFMs—DINO, CLIP, and SAM—which differ in their training ives and input modalities. By visualizing the features extractedvolume-rendered images using these models, we compare their capabilities in terms of structural expressiveness discrimination. Furthermore, by examining how each model’s training methodology influences its feature visualization outcomes, we provide an analysis of the characteristic differences that arisetheir respective pre-training strategies.
Keyword : Direct Volume Rendering, Vision Foundation Model, Feature Extraction
http://dx.doi.org/10.29056/jdaem.2026.06.03
Abstract : As environmental concerns intensify, the societal emphasis on well-being has increased, raising consumer attention to cosmetic ingredient safety and skin irritation. Consequently, natural cosmetics using naturally derived ingredients have gained prominence. Yet, market expansion has led to visual homogenization among brands and a female-centered consumer base, underscoring the need for gender-differentiated packaging strategies. This study examines gender differences in preferences for color, imagery, and packaging materials in natural cosmetics and identifies the psychological pathway through which these visual elements influence satisfaction. An online survey of 250 consumers aged 19–64 with purchase experience revealed that packaging design is a key factor in the purchasing process, with skin concerns and recommendations as major motivators. Results showed that first, color, imagery, and material differed significantly by gender in cognitive, emotional, and behavioral responses; second, color served as a central determinant of visual recognition and emotional association; and third, visual elements influenced satisfaction both directly and indirectly through a cognition → emotion → behavior pathway. These findings clarify gender-specific interpretations of visual elements and provide practical implications for the development of differentiated packaging design strategies.
Keyword : Natural Cosmetics, Packaging Design, Consumer Preference, Satisfaction
http://dx.doi.org/10.29056/jdaem.2026.06.04
Growth Strategies of K-Beauty in Digital Transformation: A Case Study of COSRX
Abstract : This study analyzes how K-Beauty brands secure a global competitive edge in the rapidly advancing digital technology landscape, focusing on the case of COSRX. User-Generated Content (UGC), trust-building through social media, and the proliferation of global e-commerce platforms have fundamentally transformed consumer structures in the beauty industry, significantly impacting brand growth strategies. COSRX has maintained its brand identity based on an ingredient-focused philosophy and solutions for sensitive skin, while creating strategic synergies by combining research, development, manufacturing, distribution infrastructure, and digital expansion capabilities following its integration into the Amorepacific Group. By leveraging major global platforms such as Amazon, Shopee, and Sephora Online, COSRX has achieved rapid international expansion through market strategies optimized for regional digital ecosystems. This study provides strategic insights for K-Beauty brands to secure sustainable competitiveness in the era of digital globalization by analyzing the interaction between these structural changes and platform-based internationalization strategies.
Keyword : digitalization, K-beauty, COSRX, digital platform distribution, global market expansion
http://dx.doi.org/10.29056/jdaem.2026.06.05
Abstract : This study aims to propose an information-based redundant encoding design framework and exploratorily evaluate user responses and applicability through prototype implementation that integrates color, shape, brightness, and patterns to enhance game accessibility for users with Color Vision Deficiency (CVD). Current game interfaces heavily rely on a single color visual channel, which easily leads to information recognition errors and operational errors for CVD users. To address this issue, a multidimensional visual information design framework was constructed by integrating the Okabe & Ito color vision-friendly color system, color-shape redundant encoding, and Paul Tols diverging color schemes. Through shape and pattern mapping, brightness contrast adjustment, and optimization of color distribution, the framework enhances perceptual discriminability and compensates for the limitations of single-color encoding. To exploratorily evaluate the applicability of the proposed framework, a puzzle game prototype titled Together was developed, and a user evaluation was conducted with 31 participants with CVD. The results showed that both information recognition ease and operational accuracy reached 71%. In the HCI evaluation, accessibility (81%), usability (78%), efficiency (72%), and user satisfaction (83%) all showed positive results, indicating overall positive user responses to the proposed framework. However, some users still exhibited color-dependent cognitive strategies, and increased information processing delay and cognitive load were observed in complex interface environments. This indicates that while the design is effective in static environments, further optimization is required for dynamic interactive contexts. This study extends the traditional color-correction-centered research paradigm by proposing a design framework based on information encoding structure optimization and exploratorily examining its practical applicability. It provides new perspectives and theoretical foundations for CVD-related game accessibility research and is expected to make meaningful contributions in both academic and applied domains.
Keyword : Color Vision Deficiency (CVD), game accessibility, redundant encoding, interface design, usability
http://dx.doi.org/10.29056/jdaem.2026.06.06
Place Representation and Player Perception in an In-Game City: The Case of Revachol in Disco Elysium
Abstract : This study compares place representation in the in-game text with place perception in Steam reviews, focusing on Revachol, a central in-game city in the narrative-oriented RPG Disco Elysium. A total of 812 in-game text entries containing 'Revachol' were collectedDisco Elysium Scribe, and 702 English Steam reviews mentioning 'Revachol' were selected53,099 reviews using the Steam Reviews API through Python. The data were manually coded into six categories: Physical and Environmental Place, Relational and Lived Place, Affective and Sensory Place, Historical, Political, and Social Place, Symbolic and Personified Place, and Unclassified. The results show that Historical, Political, and Social Place was the most frequent category in the in-game text (40.4%), indicating that Revachol is constructed as a central site of world-building shaped by revolution, occupation, class conflict, policing institutions, and ideological tensions. In contrast, Affective and Sensory Place was the most frequent category in Steam reviews (27.5%), suggesting that players tend to articulate Revachol as an affective place associated with melancholy, nostalgia, immersion, beauty, and loss. This study suggests that place meanings in narrative-oriented games are not completed solely by designed textual and spatial structures, but are reconstructed through players' experience, memory, and linguistic articulation.
Keyword : Place meanings, Sense of place, Game space, Player reviews, Digital place attachment
http://dx.doi.org/10.29056/jdaem.2026.06.07
Abstract : This study explores the e-sports potential of the traditional Korean board game Hwatu (Go-Stop), using the Chinese card game Dou Dizhu (斗地主) and its tournament, the JJ Dou Dizhu Championship Cup (JJDC), as primary comparative cases. Although East Asian traditional card games possess deep cultural foundations and broad popularity, discussion of their conversion into standardized digital competitive content remains scarce. This study compares the origins, rule systes, and cultural similarities of Dou Dizhu and Hwatu, and examines how Dou Dizhu achieved its e-sports transition through rule standardization, doubles formats, and league development. Building on this, it diagnoses Hwatu's current e-sportization and proposes a Korean model centered on four principles: rule standardization to eliminate gambling associations, cultural identity preservation, a functional model for an aging society, and folk-heritage preservation. The study suggests that Hwatu's e-sportization signifies not merely game industry expansion but a cultural and policy experiment for the modern reproduction of traditional culture and the expansion of K-content.
Keyword : Hwatu (Hanafuda), e-sports, traditional board games, cultural reproduction, K-content
http://dx.doi.org/10.29056/jdaem.2026.06.08
A Study on Understanding and Development Direction of the Crypto Art Ecosystem
Abstract : This study aims to diagnose the structural limitations of the crypto art ecosystem and to explore directions for its sustainable development. To this end, the Service Value Network Modeling for Culture and Arts industry is employed as a theoretical framework to map the crypto art ecosystem, and a comparative analysis of its AS-IS and TO-BE models is presented. The findings are as follows. First, the crypto art ecosystem has been structured around the possession market, dominated by crypto art platforms and auction houses and galleries, whereas the participation of enjoyment market actors such as museums has remained highly limited. While this structure has generated innovative values, including the establishing a royalty system and the intoducing of market selection, it has simultaneously entailed structural limitations, such as the absence of artistic discourse, the intensification of financialization, and the emergence of new gatekeepers. Second, the recession of the crypto art ecosystem is interpreted not as the failure of crypto art itself, but rather as a manifestation of the vulnerabilities inherent in a possession market centered structure. Third, this study proposes a TO-BE model that places the activation of the enjoyment market at its core and introduces the concept of the ‘Web 3.0 Museum’ as a concrete means of realizing this model. The Web 3.0 Museum is expected to function as a public sphere in which the traditional authority of museums is shared with artists and audiences within a blockchain-based virtual context. By extending prior crypto art research-which has largely focused on individual technologies and platforms-toward a structural, ecosystem-oriented perspective, this study contributes to outlining the direction of ecosystem reconfiguration in the post-recession era.
Keyword : Crypto Art, NFT Art, Ecosystem, Service Value Network Modeling for Culture and Arts industry, Web 3.0 Museum
http://dx.doi.org/10.29056/jdaem.2026.06.09
A Study of Images as a Constituent Principle of Real and Virtual Spaces
Abstract : The recent rapid advancement and widespread adoption of media technology have endowed virtual spaces with a distinct sense of reality and presence, creating a new dimension of complex environments. Positioned within this paradigm shift, digital images are shedding their fixed materiality and demonstrating a fluid principle of form that is generated and dissipated in real time. The mechanism of the ephemeral generation of images, which endlessly recur and repeat within virtual space, is an independent form bornthe close interplay between the immaterial properties of data produced by artificial intelligence algorithms and the aesthetics of the virtual-reality boundary in the post-digital era. This structure possesses perceptual characteristics that focus the viewer’saudience’s awareness on the ephemeral phenomenon itself. The fluid visual flow and formal interface created by the bubbles and smoke in the video works induce sensory transitions, evoking psychological immersion and ontological reflection. This study, centered on an analysis of the artist’s work, identifies images in virtual space as a spatial compositional principle that orchestrates a new sensory system for the digital age and extends physical reality. This contributes to presenting a new formal direction for contemporary media art, where media technology and humans coexist.
Keyword : virtual space, immateriality, transience, AI-generated images, media art
http://dx.doi.org/10.29056/jdaem.2026.06.10
Abstract : This study analyzes motion graphic projects based on the Wolhwa Story and Noam-dong folktales in Gangneung within an urban regeneration context, examining how traditional local narratives are translated into digital visual language and how the resulting works construct placeness. It identifies the mechanisms through which symbolic elements—the golden carp, lotus, Muwollang, and the tunnel—are rendered into color, form, and rhythmic motion, and demonstrates that meaning in motion graphics emerges through scene transitions, repetition, and expansion rather than isolated images. The theoretical framework draws on Relph's concept of placeness, Campbell's Monomyth structure, Cirlot's semiotic symbolism, Manovich's theory of time-based images, Kress's grammar of visual design, and Arnheim's visual dynamics theory. A Sensorial Transition Matrix was constructed to assign each folktale motif its own color code, formal metaphor, and temporal rhythm, thereby systematizing the pathways through which abstract folktale symbols are translated into digital media language. Team-based case comparisons show that the same folktale source diversifies into lyrical, humorous, and mythical visual languages depending on the creator's narrative perspective. This study contributes a systematic methodology for the digital transformation of local folktales and presents a viable model for university-community PBL collaboration.
Keyword : Local Folktales, Motion Graphics, Urban Regeneration, Placeness, Visualization
http://dx.doi.org/10.29056/jdaem.2026.03.11
Multidimensional Emotional Structures and Intention-Expression Signals in Online Tourism Reviews
Abstract : Tourism analytics has traditionally relied on sentiment polarity to explain behavioral outcomes, yet emotional expression in online reviews is inherently multidimensional. This study examines how four theoretically grounded emotional dimensions-valence, intensity, authenticity, and affective complexity-are associated with the explicit articulation of revisit intention in review text. Drawing on 7,500 English-language Trip.com reviews (2020-2024), emotional features were extracted using a hybrid NLP pipeline combining fine-tuned BERT classification with lexicon-based arousal scoring and linguistic indices. Revisit intention was operationalized as an explicit intention-expression signal within textual narratives, rather than as a survey-derived attitudinal construct. Logistic regression tested dimensional associations, while K-means clustering identified latent emotional profile types across the corpus. Results indicate that positive valence, greater emotional intensity, and higher affective complexity are each significantly associated with revisit intention expression, whereas emotional authenticity shows no significant direct association. Cluster analysis further reveals distinct emotional configurations that differ systematically in intention-expression prevalence. By reconceptualizing revisit intention as a communicative signal and modeling emotion as a multidimensional structure, this study advances emotion-aware computational analysis in tourism research. The integration of supervised and unsupervised analytics offers a scalable framework for examining how emotional structure shapes behavioral signaling in digital review environments.
Keyword : affective complexity, emotional authenticity, emotional expression, online tourism reviews, sentiment valence
http://dx.doi.org/10.29056/jdaem.2026.06.12
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