Visual Design Research Articles

Evaluating Force-based Haptics for Immersive Tangible Interactions with Surface Visualizations.

Haptic feedback provides an essential sensory stimulus crucial for interaction and analyzing three-dimensional spatio-temporal phenomena on surface visualizations. Given its ability to provide enhanced spatial perception and scene maneuverability, virtual reality (VR) catalyzes haptic interactions on surface visualizations. Various interaction modes, encompassing both mid-air and on-surface interactions-with or without the application of assisting force stimuli-have been explored using haptic force feedback devices. In this paper, we evaluate the use of on-surface and assisted on-surface haptic modes of interaction compared to a no-haptic interaction mode. A force-based haptic stylus is used for all three modalities; the on-surface mode uses collision based forces, whereas the assisted on-surface mode is accompanied by an additional snapping force. We conducted a within-subjects user study involving fundamental interaction tasks performed on surface visualizations. Keeping a consistent visual design across all three modes, our study incorporates tasks that require the localization of the highest, lowest, and random points on surfaces; and tasks that focus on brushing curves on surfaces with varying complexity and occlusion levels. Our findings show that participants took almost the same time to brush curves using all the interaction modes. They could draw smoother curves using the on-surface interaction modes compared to the no-haptic mode. However, the assisted on-surface mode provided better accuracy than the on-surface mode. The on-surface mode was slower in point localization, but the accuracy depended on the visual cues and occlusions associated with the tasks. Finally, we discuss participant feedback on using haptic force feedback as a tangible input modality and share takeaways to aid the design of haptics-based tangible interactions for surface visualizations.

Penerapan Model Pembelajaran Konstruktivisme Menggunakan Media Google Classroom untuk Meningkatkan Hasil Belajar Siswa pada Mata Pelajaran Dasar-Dasar Desain Komunikasi Visual Kelas X di SMKN 3 Kuningan

This study aims to determine the learning outcomes of students using the constructivism method using google classroom media in the subject of Visual Communication Design Basics class X SMKN 3 Kuningan in 2023/2024. The method used was quantitative with the type of quasi-experimental method with a pretest-posttest control group design. The population in this study is class X students of SMKN 3 Kuningan. The sample used in this study was divided into 2 classes (experimental and control) with a total of 72 students. The data collection techniques used in this study are tests and questionnaires. The data analysis techniques used in this study are using normality tests, homogeneity tests, hypothesis tests, validity tests, and reliability tests. The results of this study show that the learning outcomes of students in the subject of Fundamentals of Visual Communication Design of CorelDraw material in class X at SMKN 3 Kuningan before using the Constructivism learning model are still lacking with an average score of 77.78. Student learning outcomes in the subject of Fundamentals of Visual Communication Design CorelDraw material in class X at SMKN 3 Kuningan after using the Constructivism learning model are good with an average score of 84.72. There was a change in the learning model of Constructivism on student learning outcomes in the basic subjects of visual communication design

WORKSHOP "EXPLORE YOUR PASSION, BUILD YOUR IMAGINATION" USING AFTER EFFECT AND PAINT TOOL SAI

Implementing Community Service activities, especially in the school environment of SMK Negeri 1 Kedawung, is a form of our concern for students to gain insight into the use of the After Effect and Paint Tool Sai Application. Referring to the decision of the head of the standards body, curriculum, and education assessment, the Ministry of Education and Technology, namely Number: 024/H/KR/2022 to recognize the concentration of vocational skills in the context of an independent curriculum. One of the changes in the name of the Vocational High School (SMK) department is Multimedia (MM) changed to Visual Communication Design (DKV). Visual Communication Design (DKV) is the first major after the change in the independent curriculum, and this department requires a lot of guidance, motivation, and direction for students. Based on the results of the observation, our group decided to hold an explore your passion build your imagination service with illustrators and animators who are one of the outstanding alumni of SMK Negeri 1 Kedawung to increase students' motivation to learn in the multimedia world. The activity in this service is in the form of an introduction workshop on the use of multimedia in making creative video animations using After Effect and SAI Paint Tool.

The Houseless Simulation Exercise: An innovative educational approach to addressing houselessness interprofessionally using a virtual platform

BackgroundHouselessness, characterized by a lack of fixed and adequate nighttime residence, presents humanitarian and public health challenges. Health and houselessness are intricately connected, with houselessness exacerbating health issues and reducing life expectancy. Interprofessional education (IPE) is crucial in preparing healthcare professionals to address the unique needs of this population. MethodsThe Houseless Simulation Exercise (HSE) was designed as an innovative IPE activity to cultivate awareness, empathy, and skills for caring for houseless individuals. Informed by game-based learning theory, it integrates elements such as visual design, narrative, and collaboration. It comprises a choose-your-adventure style simulation and an interprofessional discussion on care and policy innovation. ResultsThe HSE ran for two years and involved 359 students. Participants reported positive experiences, improvements in interprofessional core competency domains, and awareness of challenges. Qualitative feedback highlighted the impact on individuals. ConclusionThe HSE offers a dynamic approach to IPE, fostering awareness, empathy, and collaboration among healthcare professionals. The HSE exemplifies the potential of innovative educational strategies in addressing complex healthcare challenges related to houselessness.

Efficacy of modified anterior maxillary segmental distraction osteogenesis based on 3D visualisation for the treatment of maxillary hypoplasia among adolescents with cleft lip and palate

BackgroundThis study evaluates a three-dimensional (3D) visualisation design combined with customized surgical guides to assist anterior maxillary segmental distraction osteogenesis (AMSDO) in correcting maxillary hypoplasia in adolescents with cleft lip and palate (CLP), focusing on treatment outcomes, satisfaction and the validity of 3D planning.MethodsThis retrospective cohort study was conducted at a single hospital in China. Between January 2020 and December 2023, 12 adolescents with CLP with maxillary hypoplasia were included. An advanced 3D simulation was used to convey the treatment strategy to the patients and their families. A customized surgical guide and distraction osteogenesis device were designed. Cephalometric analysis evaluated AMSDO changes and long-term stability. Patient satisfaction was assessed. The Chinese version of the Child Oral Health Impact Profile was used to evaluate the children’s oral health-related quality of life before and after treatment. The postoperative outcomes were compared with the planned outcomes by superimposing the actual postoperative data onto the simulated soft tissue models and calculating the linear and angular differences between them.ResultsOne patient experienced postoperative gingivitis, yielding an 8.33% complication rate. Most patients (83.33%) were highly satisfied with the target position, with the rest content. Cephalometric analysis showed significant improvements in various indices post-traction. Quality-of-life scores significantly improved post-treatment. The discrepancies in facial soft tissue between the simulated and actual results were within clinically satisfactory ranges.ConclusionsDigitally designed surgical guides effectively treat maxillary hypoplasia in adolescents with CLP, ensuring stability, reducing complications, reducing dependency on operator experience, and enhancing satisfaction and health outcomes. Although the simulated results were clinically acceptable, it is important to inform patients of potential variations in the predicted soft tissue.

Students’ Conceptualisations of “Peace” and “War” in Drawing–Text Combinations: A Metapragmatic Multimodal Analysis

In this article, we investigate (partly guided) conceptualisations of “peace” (and “war”) in children’s school drawings and their accompanying textual framings. We draw on a transdisciplinary framework grounded in ethnography and metapragmatics, combining tools from socio‐pragmatic (critical) approaches to multimodal discourse. Our data consists of authentically generated, photographed image‐text worksheets that were publicly displayed on the fence of a primary school in a small town in Northern Italy in April 2022. Combining qualitative and quantitative analytical procedures, the (textual and multimodal) conceptualisations range from peace as a very concrete mode of secure‐relaxed experience of basic relationships, of home and togetherness, and of self, to peace as care and unity on a more (global‐)political scale. Contrary to ideologies on children’s drawings as naïve‐unmediated “windows” to inner states, our analysis shows how the trans‐/locally re‐/produced repertoire(s) of multimodal frozen mediated actions (including emblematic patterns such as emojis, peace‐flags, comics‐speech bubbles, etc.) are deployed ranging from realistic scenes to abstract and complex visual designs. Thereby, children show themselves as literate and often humorous‐creative practitioners of visual communication.

Thermal optimization of alloy additive manufacturing process and visual design of metal process products based on edge computing

Alloy additive manufacturing technology has been widely used in aerospace, medical equipment and automobile manufacturing. The purpose of this study is to explore the thermal energy optimization scheme in the process of alloy additive manufacturing based on edge computing technology, and to display the metal process products in an all-round way through visual design, so as to promote the knowledge and practice of thermal energy management in the industry. In this paper, the edge computing platform is used to monitor the heat energy data generated in additive manufacturing process in real time, and the heat energy distribution is analyzed with machine learning algorithm. By establishing thermal energy optimization model, adjusting manufacturing parameters to reduce energy consumption, improve material utilization and product quality. At the same time, using visual design technology, the optimization process and results are graphically represented, which provides intuitive decision basis for engineers. The experimental results show that the thermal energy optimization scheme based on edge computing significantly improves the thermal energy efficiency of the alloy additive manufacturing process, and significantly reduces the thermal energy loss. Through the visual design, relevant personnel can understand the thermal energy distribution and process changes more clearly, and promote the collaboration between multiple departments. This study reveals the application potential of edge computing in alloy additive manufacturing and provides an effective thermal optimization strategy.

Toward Constructing Frameworks for Task- and Design-Optimized Visualizations.

Visualization is crucial to augment and enhance human understanding and decision-making in today's data-driven world. However, the way data are visualized can influence and drastically change the conclusions people draw using data. The findings around visualization effectiveness are nuanced, and guidelines for effective visualization design depend on the visual channels used, chart types, and analysis tasks. This points to a significant need to understand the intersection of these factors to create optimized visualizations. We need a framework to define this intersection that fills the gap by providing a task-optimized visualization design for better quality and higher decision-making confidence that gives designers objective guidance. A task-optimized visualization design framework strategically integrates visual channels, visualization types, and specific low-level tasks to enhance data interpretation and optimize user task performance. We discuss constructing a visualization framework that considers both human perception for encoding techniques and the task being performed, enabling optimizing visualization design to maximize efficiency. Furthermore, we highlight a task-optimized framework's impact and potential applications.

The synergistic effect of artificial intelligence technology in the evolution of visual communication of new media art

This study aims to clarify the synergistic effect of artificial intelligence (AI) technology in the evolution of visual communication of new media art, thereby exploring an AI layout design method based on Convolutional Neural Network (CNN) in the practice of visual communication design. Firstly, this study designs an AI layout design model based on CNN, and trains and optimizes it with training data. Secondly, the automatic generation of layout design is realized by constantly adjusting the model parameters and network structure. Finally, various AI layout design algorithms are compared, and their effects and performances in layout design generation are analyzed. To verify the layout and composition matching model's performance, traditional layout design methods are selected for comparison (layout, comparison, harmonic composition, etc.). This study involved 20 design students as participants, evaluating them across three dimensions: overall comprehensive assessment, readability of text information, and rationality of visual path using a Likert 7-point scale. The results reveal that the proposed method's evaluation outcomes in these three aspects are 5.95, 5.68, and 5.74, respectively, higher than the traditional layout design methods. To sum up, the generative AI discussed here can automatically generate design elements and schemes through deep learning and big data analysis, thus providing a reference for the innovation of visual communication design.

Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments.

Interactive visualization can support fluid exploration but is often limited to predetermined tasks. Scripting can support a vast range of queries but may be more cumbersome for free-form exploration. Embedding interactive visualization in scripting environments, such as computational notebooks, provides an opportunity to leverage the strengths of both direct manipulation and scripting. We investigate interactive visualization design methodology, choices, and strategies under this paradigm through a design study of calling context trees used in performance analysis, a field which exemplifies typical exploratory data analysis workflows with Big Data and hard to define problems. We first produce a formal task analysis assigning tasks to graphical or scripting contexts based on their specificity, frequency, and suitability. We then design a notebook-embedded interactive visualization and validate it with intended users. In a follow-up study, we present participants with multiple graphical and scripting interaction modes to elicit feedback about notebook-embedded visualization design, finding consensus in support of the interaction model. We report and reflect on observations regarding the process and design implications for combining visualization and scripting in notebooks.

Creating a speech portrait of a modern Chinese teacher in online media

The purpose of the study is to identify the speech characteristics of modern Chinese teachers. The object of the study is the blog(s). Special attention is paid to the visual and auditory design of the video material: the presence of music, the design of the room, the style of the blogger's clothes, the manner of speech. The desire to show their own market attractiveness against the background of competitors, the desire to become popular and have their own audience on the Internet motivates bloggers to show authority in a variety of ways. The research material was two commercials of English language courses on the "bilibili" platform. The coronavirus infection has pushed the Chinese government and private educators to develop online teaching platforms, among which the bilibili video hosting can be cited as example. Users of this platform have the opportunity not only to watch videos, but also to purchase video courses on various topics. The work uses a descriptive method (observation, interpretation, generalization). In the course of the study, the speech analyzer programs Text-Analyzer and Cathoven were used, with the help of which the approximate level of oral text on the CEFR scale was determined. As a result of the analysis, the main features of the speech portrait of the teacher-blogger were highlighted, and the importance of the image on the Internet for attracting an audience was emphasized. The main contribution of the author is a comprehensive study of the image of a modern teacher in Chinese linguoculture. Along with the economic boom and the development of social networks in China, there has been a reassessment of traditional values. The penetration of Western mass culture has had a strong impact on the population, especially on the younger generation, who use the Internet to a greater extent and consume entertainment and educational content. This influence has not spared modern Chinese teachers. Studying the image of a Chinese teacher in modern realities will help to update information about Chinese culture, its synthesis with modern mass culture and traditional Confucian values.

Studying Factors Influencing Intention to Use Hybrid Education: A Case Study of Visual Communication Design Major Students at Chengdu Vocational University of Art

Background and Aim: Hybrid teaching follows the reform trend of China's vigorous development of online education and hybrid education. The Chengdu Vocational University of Art is the earliest art vocational university in China, and the visual communication major is the advantageous major of the university. The program of this major adopts a hybrid education model combining MOOC online courses and offline education. This study uses TAM, ASCI, UTAUT, and ECM theories to construct a model to analyze the factors affecting the hybrid education learning satisfaction of visual communication students, whose variables include virtual classroom quality, instructor characteristics, student expectations, course design quality, and course content quality. Materials and Methods: A purposive sampling method was used to distribute questionnaires to 571 students. Confirmatory factor analysis (CFA) and Structural Equation Modeling (SEM) were used to analyze the reliability, validity, goodness of fit, and hypothesis testing of the model. Results: Student satisfaction was found to greatly influence intention to use through the study. In addition, instructor characteristics and classroom quality had a supportive relationship on perceived usefulness, student expectations, course content, and perceived usefulness had a supportive relationship on satisfaction, while course design quality had no significant effect on satisfaction. Conclusion: School management and teaching teams should pay attention to the key influences on the intention of hybrid education and design programs based on research findings to help students understand the effectiveness of hybrid education and improve the quality of education.

Sonic Electromagnetism

The author describes their sound art practice, which uses the electromagnetic field (EM) to explore concepts of the body toward a feminist and pro-trans future. This practice stands in contrast to hidden consumer “black box” culture and mediated digital telepresence. Three specific art projects are explored that fuse visual design, printed circuitry, and interactivity to build critical space for participatory exploration. The author explores concepts of the body in relation to spatialized sound and queer phenomenology of sound. Lastly, the author suggests that the creative exploration of sonic electromagnetism is a larger movement by a disparate community of artists who aim to challenge existing systems of power. In their exploration of the electromagnetic field, the author argues that these artists strive to harness a new source of empowerment and spirit.

Simulation of indoor thermal energy radiators and visualization design of indoor environment layout based on genetic algorithm and light sensor

With the increasing attention to comfortable living environment and energy efficiency, indoor thermal energy management has become an important task in architectural design. Reasonable heat dissipation system can not only improve indoor comfort, but also reduce energy consumption. The aim of this study is to optimize the layout of indoor heat radiator by genetic algorithm and visualization design of indoor environment combined with light sensor, so as to improve the efficiency and comfort of space heat utilization. The indoor heat dissipation model is established, and the changes of indoor temperature and light are monitored by light sensor in real time. Then genetic algorithm is used to optimize the layout of the radiator, considering the heat distribution and light intensity at different locations. The impact of different design schemes on indoor environment was evaluated through simulation experiments. After many iterations, the optimized radiator layout shows a more uniform heat distribution and significantly improved indoor comfort, and the data from the light sensor provides real-time feedback on the environmental layout, making the design solution more realistic. Therefore, the optimization method based on genetic algorithm can effectively improve the layout efficiency of indoor heat radiator, combined with the application of light sensor, can achieve a more scientific indoor environment design.

Eliciting Model Steering Interactions From Users via Data and Visual Design Probes.

Visual and interactive machine learning systems (IML) are becoming ubiquitous as they empower individuals with varied machine learning expertise to analyze data. However, it remains complex to align interactions with visual marks to a user's intent for steering machine learning models. We explore using data and visual design probes to elicit users' desired interactions to steer ML models via visual encodings within IML interfaces. We conducted an elicitation study with 20 data analysts with varying expertise in ML. We summarize our findings as pairs of target-interaction, which we compare to prior systems to assess the utility of the probes. We additionally surfaced insights about factors influencing how and why participants chose to interact with visual encodings, including refraining from interacting. Finally, we reflect on the value of gathering such formative empirical evidence via data and visual design probes ahead of developing IML prototypes.

Impact of interaction technique in interactive data visualisations: A study on lookup, comparison, and relation-seeking tasks

This paper presents an analysis of different interaction techniques used in interactive data visualisations to support end-users in visual analytics tasks. Our selection of interaction techniques is based on prior work and consists of the interaction techniques Select, Explore, Reconfigure, Encode, Filter, Abstract/Elaborate, and Connect. Through a within-subject study, we assessed participants’ abilities to utilise these techniques when faced with three distinct types of data-driven tasks; lookup, comparison, and Relation-seeking. Our research investigates the impact of these interaction techniques on the correctness, confidence, perceived difficulty, and cognitive load of N = 80 self-identified data scientists and N = 80 non-experts. We find that interaction technique significantly impacts answer correctness and participant confidence. Participants performed best across those interaction techniques that allow for information that is deemed least relevant to be concealed, which is reflected in lower intrinsic and extraneous cognitive load. Interestingly, participants’ expertise affected their confidence but not their accuracy. Our results provide insights useful for a more targeted and informed design and usage of interactive data visualisations.

노들섬 연상 키워드 분석을 통한 아이덴티티 통합 디자인 전략 - AI 생성형 이미지를 중심으로

As part of place branding research, this study aims to identify the experience of Nodlesum, a complex cultural space, to define its unique identity and propose a brand identity design direction using AI-generated images. First, we analyzed online data to derive keywords related to Nodlesum. In addition, we conducted a visitor perception survey to derive associated experience keywords and associated image keywords. Based on the keywords, we used AI-generated images to refine the brand visual identity and character design, and then derived a utilization strategy centered on merchandise. The significance of the final result is as follows. First, we defined the unique identity of Noddle Island based on user perceptions and prepared a prototype of the brand identity and practical results. Second, it provided a conceptual shift in place branding with an integrated approach to visitor perception and place brand identity design. Third, we prepared a brand identity strategy system that can be applied to idle spaces or public spaces that have difficulties in establishing a clear communication system. Fourth, by utilizing AI-generated images in the design process, we confirmed the potential of AI as a collaborator in the creative realm and a means of expanding thinking. This study is significant in that it is a design attempt to expand the perspective of place brand identity design and explore more practical and diverse ways of utilizing AI.

Exploring Visual Features of Ecological Design in Private Housing: Search for Visual Principles.

Background: Changing consumer attitudes toward the natural environment are reflected in an increase in demand for environmental design of private houses, which requires the definition of some general principles of such design, particularly graphic design. Purpose: The purpose of the study is to highlight and determine the fundamental features of the visual component of the ecological design of private houses. Objectives: Present the characteristics of the countries of the world in accordance with the application of eco-design and sponsorship of green construction; identify visual principles that characterize the ecological design of private houses. Methods: The study is based on mixed qualitative analysis. The authors of the study used statistical from statista.com concerning the number of LEED certified projects during 2018 to 2021. Statistical indicators of countries is used to select houses for research, an assessment of a group of experts of photo-interview methods is used to determine the main trends in visual environmental design. Results: It was possible to systematize the world experience in designing private homes using an ecological approach. They categorized the basic principles of visualization of functional-planning, technological and artistic-esthetic solutions in the interior design of a private residential building; compliance with appropriate esthetics; functional design solutions of the interior space, modularity, compactness, responsible and rational architecture; and interior design, preferably with the possibility of moving housing to another place in case of forced relocation. Conclusions: The results obtained can be used in the framework of theoretical and practical design of private residential buildings.

Empowering Indonesian EFL Teachers: The Transformative Impact of Visual Literacy Training on Teaching Materials

Within the contemporary landscape dominated by visual media, educators' proficiency in visual literacy is crucial for effective pedagogy, particularly in English language instruction. This research aims to explore the effects of visual literacy training on the capability of English teachers at Kalam Kudus Elementary School, Bali, to create innovative teaching materials. Utilizing a mixed-methods approach, the research engaged 21 teachers in a professional development program centered on contrast, repetition, alignments, and proximity (CRAP) design principles. The study's methodology combined quantitative and qualitative data, integrating pre-and post-tests, visual literacy questionnaires, and semi-structured interviews to evaluate changes in teachers' visual literacy competencies and their practical application in the classroom. The findings reveal significant improvements: (i) teachers demonstrated a substantial enhancement in their visual literacy skills, with an average Gain Score of 74.15%, reflecting the program's statistically significant effectiveness; (ii) teachers’ ability to create visually engaging and pedagogically sound teaching materials was markedly improved; and (iii) despite these gains, challenges in balancing visual design with content selection persist, underscoring the need for ongoing professional development. The research underscores the critical role of visual literacy in modern education, with clear implications for broader educational policy and curriculum design. By integrating visual literacy training into teacher development programs, educational institutions can significantly enhance the quality of instructional materials, thereby improving student engagement and learning outcomes.

Digital game-based learning in architecture education: Consolidating visual design principles in freshmen

Using games as educational tools has been a captivating subject in the academic domain. There is an increasing number of digital games designed to support architectural education. This paper introduces a serious game aimed at enhancing basic design knowledge for first-year architecture students. The game focuses on teaching and testing visual design principles such as emphasis, balance, and rhythm. Based on these principles, it allows students to create 2D compositions on a grid pattern by placing and manipulating simple shapes in terms of color, shape, and size. The final composition is evaluated by an artificial intelligence (AI) tool integrated into the game. This AI tool predicts the design principles present in the composition, providing three possible outcomes with associated percentages. The game, currently in the testing phase, has been played by 126 first-year students, and user experience has been assessed through questionnaires, surveys, and basic game metrics. The use of this game to teach visual design principles has proven to be an effective method for engaging students in active learning and enhancing their understanding and application of design concepts. The innovative use of AI to provide real-time feedback and the interactive nature of the game have fostered a deeper, experiential learning process. Additionally, students have proposed various innovative ideas to improve the gaming experience, suggesting potential enhancements that could lead to a more refined and enjoyable gameplay. These insights highlight the potential of digital game-based learning (DGBL) and AI-enhanced tools in creating an engaging and effective educational environment.