Digital Commons Network^™

Cultural Resonance – Understanding Food Cultures To Inform Adaptive Ai For Healthy And Sustainable Eating, Emily Groves, Zeynep Erol, Sebastian Baez-Lugo, Nicolas Henchoz, Margherita Motta

IASDR Conference Series

applications in this domain often disregard the complex array of factors that shape food perceptions and practices, leading to exclusion and disengagement. At the same time, AI offers opportunities to adapt digital systems based on individual preferences and behaviours. This paper reports the first stage of work to design an AI-powered digital tool that introduces users to principles of healthy and sustainable eating across different cultural contexts. Using cultural probes and semi-structured interviews, we investigate lived experiences and socio-cultural connections to food and eating practices. Our findings reveal the diversity of eating frameworks and highlight the need for adaptive AI …

Design For All: Mitigating Systemic Bias And Hidden Violence In Ai Voice Assistants For Visually Impaired Users, Jie Meng, Yufei Zhang, Ziwei Lin

IASDR Conference Series

AI voice assistants promise greater accessibility, yet misalignments in their design can reproduce systemic bias. This study examines the usability of AI voice assistants for blind and low-vision users through a multi-method qualitative approach. We combined a literature review with observation- assisted usability sessions (n = 23) and semi-structured interviews (n = 8) with participants in China and the UK. Thematic ally analysing the corpus in NVivo 14, we identified four recurring challenges: elevated task error rates; limited recognition of diverse accents alongside vague or inconsistent auditory feedback; interface barriers that embed visual dependencies; and a resulting sense of exclusion …

A Reflective Lab Journal For Biodesign: Navigating More-Than-Human Sensibilities And Disciplinary Tensions, Jiho Kim, Iohanna Nicenboim, Joana Martins, Elvin Karana

IASDR Conference Series

This paper introduces reflective journaling as a tool for advancing biodesign practices, merging documentation methods from biology and design while integrating more-than-human sensibilities into laboratory practices. It highlights the need for tools that can flexibly support record-keeping across biology and design, balancing precision and accountability with iteration, creativity, and collaboration. Furthermore, it critically addresses calls to support care ethics and nurturing multispecies interactions within biodesign. Through an explorative review of diverse documentation formats, including laboratory notebooks and annotated portfolios, and informed by our own biodesign experiences, we introduce the Reflective Biodesign Lab Journal as a potential approach to address these …

Designing And Evaluating A Cross-Scale Gamified Learning System For Circuit Education: Bridging Macro-And Micro-Cognitive Levels, Qingyu Hu

IASDR Conference Series

This study presents the design and evaluation of a cross-scale gamified learning system aimed at enhancing middle school students’ understanding of fundamental circuit concepts. Addressing the cognitive challenge of integrating macro-level circuit structures, micro-level electron dynamics, and symbolic representations, the system adopts a dual-mode interactive design. At the macro level, a tabletop interface enables hands-on assembly of real circuit components, supported by projection- based guidance to visualize circuit logic. At the micro level, a first-person motion-sensing game immerses learners in the oscillator ybehavior of electrons, facilitating embodied cognition. Througha practice-led design process and classroom-based user testing, this study demonstrates how …

Dysphagia Dynamics: Momentary Biofeedback And User-Experience-Driven Wearable System For Post-Stroke Swallowing Rehabilitation, Nan Yin, Zhaopeng Zhu, Qi He, Ting Han

IASDR Conference Series

Post-stroke dysphagia (PSD) profoundly affects patients' physical health, functional independence, and overall quality of life. However, existing rehabilitation strategies often face challenges in treatment adherence due to insufficient real-time feedback and low patient motivation. To address these limitations, this study designed and evaluated Dysphagia Dynamics, a wearable rehabilitation system integrating surface electro myo graphy (sEMG)-based biofeedback to guide Chin Tuck Against Resistance (CTAR) training. The system includes a wearable device with adjustable resistance, with embedded sensors for monitoring muscle activity, and a mobile application interface that provides visual and auditory feedback along with progress tracking. A one-week trial (n=36) found …

Making The Cabinet Of Bureaucratic Wonders: Productive Encounters With Non-Human Public Agents, Isabella Brandalise, Lucas Vaqueiro, Judy Park Lee

IASDR Conference Series

In this pictorial, we discuss the Cabinet of Bureaucratic Wonders (CBW), a collection and display of artifacts found in public sector facilities. The CBW invited participants to productive encounters with bureaucratic artifacts, such as coat hangers, stamps, and coffee carafes. Our goal was to investigate the agentic effects of office objects—non-human public agents—in steering conduct in institutions. At once an institution, an archive, and an intervention, the CBW appropriates formats of cabinets and employs design anthropology and participatory design methods to engage with public servants in the local and federal governments in Brazil and the USA. The CBW’s collection is …

Synthetic Realities: Evaluating Human Ability To Distinguish Ai-Generated Videos From Real Footage, Danyal Sarfraz, Raja Mubashar Karim, Kwanmyung Kim

IASDR Conference Series

Recent advances in generative AI have enabled multiple pathways for high‑fidelity video synthesis; text‑to‑video, image‑to‑video animation, and video out painting. Empirical side-by-side evaluations of how untrained viewers perceive and distinguish these outputs from real footage remain scarce. In this study, we systematically compare human detection accuracy across these three AI generation techniques within three thematic contexts: historical footage, film and media content, and natural environments. We constructed a balanced stimulus set comprising equal amounts of real and AI- generated videos (18 each). The AI clips were evenly distributed across the three generation methods using Google’s Veo 3, Lightricks LTX Video, …

Gongbi Artists' Acceptance Of Aigc: An Extended Tam Analysis With Qualitative And Quantitative Data, Yuhang Mao, Anthony Kong

IASDR Conference Series

Gongbi painting artists’ acceptance of Artificial Intelligence Generated Content (AIGC) through an extended Technology Acceptance Model (TAM). Using mixed methods (204 questionnaires and 15 interviews), we explored the effects of cultural adaptability, creative subjectivity, and ethical risk. Findings show that cultural adaptability significantly increases perceived usefulness and ease of use, while ethical risk negatively impacts adoption. Creative subjectivity strongly promotes willingness to use AIGC. However, perceived usefulness and ease of use do not directly affect intention. Results highlight the need for culturally sensitive AI design that balances tradition and innovation, while addressing ethical concerns.

From Complexity To Capability: Design-Led Transformation Of A Taiwanese Sme Under The Iddi Program, Chun-Ting Wu, Mu-En. Liang, Yu-Han Wu, Chao-Hsin Huang

IASDR Conference Series

This paper explores the design-led transformation of Kimu Design, a Taiwanese SME, through its participation in the Industrial Design-Driven Innovation (IDDI) initiative. Employing a single embedded case study and a mixed-methods approach—including structured surveys and semi-structured interviews—the research applies Maylor et al.'s Complexity Assessment Tool (CAT) to assess how public design programs influence innovation across structural, sociopolitical, and emergent dimensions. Findings show that targeted design support enabled Kimu to launch a new modular product line, improve internal workflows, and broaden market reach. While some limitations in budget flexibility and administrative processes were noted, these frameworks also enhanced project clarity and …

From Tick Marks To Crossbones: Designing And Testing Visual Primitives For Medicine Instructions, Mandar Rane, Karel Van Der Waarde

IASDR Conference Series

This study investigates whether certain symbols can function as universal visual primitives to convey affirmation, negation, and warning without relying on language or context. Postgraduate design students in India created pictogram-based visual instructions for ibuprofen, from which 56 symbols were extracted and standardized in black and white. After refinement, 12 symbols were tested with 240 participants across diverse demographics using open-ended comprehension tests. The tick mark consistently conveyed affirmation, the cross (X) and diagonal slash inside a circle expressed negation, and the skull with crossbones effectively indicated warning. Results highlight the role of familiarity, exposure, and convention in shaping comprehension, …

Design Asset Formation Through Ai-Driven Interpretation Of Text And Visual Data, Yu Syuan Guo, Wan Ting Jiang, Cheng Yuan Wu, Shyhnan Liou

IASDR Conference Series

including Yu-Syuan Guo, Wan-Ting Jiang, and Cheng-Yuan Wu, Researchers, and Shyhnan Liou, Director of R&D, for their invaluable support and collaboration throughout this project. This study aims to explore the evolution of in-house design processes through AI technology. Historically, design projects lacked standardization, result- ing in inconsistent deliverables, costs, and quality, especially in cross-disciplinary projects. To address this, this research developed two AI design think- ing tool prototypes. The goal is to leverage generative AI's strength in organizing nonlinear data to assist enterprises with varying design application ex- periences. This includes structuring first-hand research data using natural language, enhancing asset …

Driving Public Service Reform Through Demonstration Design Handbooks, Li-Ning Huang, Nai-Wen Fan, Junyu Chen, Mu-En Lin, Shu-Ting Ai, Chi-Yi Chang

IASDR Conference Series

This study addresses the common challenge in public service design: the difficulty of effectively scaling design innovations. It introduces the Demonstration Design Handbook as a strategic interface that translates design thinking into institutional practice. Drawing on practical implementations across transportation, healthcare, and housing, the research develops a systemized, institution ally compatible design process, validated through multiple cross-case applications. Grounded in the Double Diamond model and adopting a Research through Design approach, the study integrates participatory strategies to formulate a handbook format that captures problem exploration, design reasoning, strategic context, and institutional application. Findings indicate that the Demonstration Design Handbook enhances …

Optimization Of Tilt Angle For The Seat Tilting Stool Based On Emg Measurements, Yutaro Demoto, Kouki Watabnabe, Yukio Kawakami, Minami Tanaka

IASDR Conference Series

Mus cul oskeletal disorders (MSDs) represent a significant occupational health issue for dental professionals, primarily due to prolonged and demanding postures. To address this issue, an operating stool (OS) featuring a tiltable seat was developed to alleviate physical strain during dental procedures; Although, the optimal seat inclination angle remains undetermined. This study investigated the most effective seat inclination angle to minimize muscular load during simulated dental tasks. 11 healthy male subjects performed scaling tasks with seat inclinations set at various directions (front, diagonal, beside) and angles (0°, 3°, 5°, 7°). Electro myo graphy (EMG) measured muscle activity in the lumbar …

Three Locks: Reconstructing Multi-Perspective Narratives With Mr–Vr Hybrid Interactions, Liang Xiao, Wanqi Fu

IASDR Conference Series

This study presents Three Locks, an immersive narrative system that integrates Mixed Reality (MR) and Virtual Reality (VR) to investigate multi-perspective storytelling within nonlinear interactive environments. Players manipulate miniature figurines representing gold prospectors with distinct motivations. The MR stage facilitates structural guidance and expectation-building through physical interaction, whilethe VR stage delivers emotionally immersive, first-person narrative fragments. The system adopts a layered temporal structure—structural guidance (MR), emotional immersion (VR), andmulti-linerecomposition (MR)—to support narrative coherence and experiential depth. Amixed- method user study combining questionnaires and interviews was conducted to assess its effectiveness in narrative comprehension, emotional engagement, and character identification. Results demonstrate …

Designing Intuitive Interfaces For Feature Steering Of Llms, Allison Huang, Yihyun Lim

IASDR Conference Series

Feature steering enables users to strengthen or weaken concepts (features) that an LLM has already learned in realtime. It has emerged as an alternative to prompting, allowing continuous rather than discrete control over model behavior. However, given the technical knowledge required to extract and then steer on features, this process is mostly limited to technical researchers. We seek to build a graphical user interface that makes steering accessible to the layperson. Existing interfaces prioritize flexibility over intuition, overwhelming users with the sheer number of options for what to prompt or what features to steer on. We conducted a user-centered design …

Exploring The Metacognitive Regulation Of Emotions During The Design Process, Hsiang-Ting Huang, Hsi-Jen Chen

IASDR Conference Series

This study explored how design students employ meta cognition to regulate emotions during collaborative design and examined the influence of different teamwork styles. Nine graduate students participated in a ten-week project developing an educational board game, with data collected through design journals and analysed using content analysis. The results showed: (1) clear goals and effective regulatory strategies enhanced perceived control and fostered positive emotions, whereas task ambiguity often triggered anxiety; (2) teamwork styles shaped emotional trajectories: additive teams achieved stability through intensive interaction, conjunctive teams showed individualized regulation due to limited support, and disjunctive teams reflected the leader’s emotional strain …

Relationship Between Seat Inclination Angles And Physical Strain When Using Sloped Stools, Reo Sato, Yukio Kawakami, Minami Tanaka

IASDR Conference Series

Prolonged static postures during dental procedures, such as implant surgeries, often lead to significant physical fatigue, especially in the lumbar region of dental professionals. To address this issue, a dental operating stool (OS) with an adjustable seat tilt was developed and evaluated. This study aimed to identify the optimal seat tilt angle to reduce physical strain and improve work efficiency. Experiments were conducted at four seat tilt angles: 0°, 3°, 5°, and 7°. Physical fatigue and postural stability data were collected. Results indicated that a 3° tilt significantly reduced physical strain, while a 5° tilt was preferred in terms of …

Empathy In The Headset: Exploring Affective Computing Through Ai In Virtual Reality, Po-Wei Chiu, Tiburcio Schöniger, Chris Wu

IASDR Conference Series

Advancements in affective computing highlight the growing potential of virtual reality (VR)–based conversational agents to provide emotional support during distressing experiences. This pilot study employed a convergent mixed-methods design to examine how a VR-based empathetic agent influences users’ emotional states, perceived empathy, and trust after recalling negative personal memories. Five participants completed an emotion-induction task followed by a 15-minute supportive dialogue with an AI agent in an immersive VR environment. Quantitative measures indicated general mood improvement with a slight rise in tension, likely reflecting residual arousal rather than discomfort with the agent. Qualitative analysis identified three key themes: technical friction …

No Data, No Time: Designing For Healthcare Using Proxy Datasets And Micro‐Workshops With Clinicians, Mihnea Stefan Calota, Janetyi‐Ching Huang

IASDR Conference Series

Designing for healthcare is uniquely challenging when designers have limited access to data and clinicians have little time to engage in the design process. In this work, we reflect on our experiences as design researchers working in Remote Patient Monitoring (RPM) to offer practical tactics for overcoming these constraints. We present a case study demonstrating a rapid, iterative approach that leverages open‐source proxy data and remote micro‐workshops with clinicians. This method allows us to derive meaningful in‐ sights without requiring extensive healthcare datasets or prolonged clinician engagement. From our pro‐ cess, we extract key lessons to guide designers seeking to …

Making Sense Of Transdisciplinary Sensemaking Of Behavioral And Engine Data In Production Print, Arganka Yahya, Fred De Jong, Lin-Lin Chen, Mathias Funk

IASDR Conference Series

Understanding operator practices in high-tech environments is critical, not only for improving product and workflow, but also as a design challenge. While these environments collect wealth of data, it is insufficient to understand the practice of operators. We present a research prototype that enhances engine data with operator movement data to facilitate sensemaking of operator practices. Through a transdisciplinary sensemaking session with R&D professionals, we investigated how experts perceive the prototype to make sense of the combined data. Analysis was grounded on Data/Frame Theory of Sensemaking to suggest implications on data, design, and expert sensemaking process. Results show that experts …

Research On The Immersive Experience Design Of Intangible Cultural Heritage Dance Based On Body Schema Theory, Wensi Dai, Yan Shuo

IASDR Conference Series

This study explores immersive experience design for Intangible Cultural Heritage (ICH) dance based on Body Schema Theory. By analyzing the triadic elements of body schema— corporeal subject, active space, and bodily imagery—we establish a theoretical framework for enhancing ICH dance transmission through digital immersion. Three design methodologies are proposed: coexistence of real-virtual dance bodies, construction of body- field interactive dance spaces, and reconstruction of inner cultural order. These approaches address challenges of homogenized symbol interpretation and low audience engagement by integrating multisensory feedback, physiological signal mapping, and culturally embedded narrative interaction. Case studies demonstrate how bodily perception and spatial dynamics …

Investigating The Application Potential Of Smart Wearable Technology In Craft Practical Instruction, Tzu-Hsu Chiu, Chen-Kuei Fan

IASDR Conference Series

Practical teaching, widely used in vocational education, faces challenges such as blocked views for rear students and reversed perspectives causing misunderstandings. With technological progress, smart glasses offer new possibilities for teaching. This study explored the potential of integrating smart glasses into craft practical teaching, focusing on jewelry and pottery. Conducted in two stages, it involved classroom observations and interviews, followed by teaching experiments evaluated via student questionnaires and teacher interviews. Findings revealed issues like obstructed views and reversed angles. Results showed that: 1. smart glasses’ first-person projections improved visibility; 2. recorded videos supported student review. However, teachers and students noted …

Detection Of Breath, Phonation And Cough Sounds Using Sound Feature Vectors And Artificial Neural Networks By Calculating Lung Forced Vital Capacity With Mobile Infrastructures, Edmond Hajrizi

International Journal of Business and Technology

Objective: In this study, it is aimed to calculate the tidal volume capacity with mobile infrastructures and to determine the O2 and CO2 values from breath, phonation and cough sounds with the help of artificial neural networks using voice feature vectors. In addition, it is aimed to develop a method that will enable computation of forced expiratory volume via mobile devices.

Materials and Methods: Since sound disease diagnosis is basically a classification problem, tidal volume classification is considered as a pattern recognition problem. Our automatic O2 and CO2 classification study as a pattern recognition function includes three subcomponents; Identifying and …

Llm-Powered Agents For Context-Aware Validation Of Code And Configurations, Peng Chen

Defensive Publications Series

Enforcing complex, team-specific software development rules that are beyond the scope of some static analysis tools can present challenges, and manual review for such rules may be slow and error-prone. The described techniques may address these challenges by employing automated agents powered by large language models within a code review workflow. These agents can be configured with natural language prompts that codify domain-specific knowledge and complex validation logic. When triggered by a code change, an agent can analyze the modification and its relationship to other relevant files in the codebase. This method can provide automated, inline feedback on adherence to …

"Live Otio": Decentralized Nle Timeline Synchronization Via Opentimelineio And Rga Crdt Mapping, Matthew D. Judson

Defensive Publications Series

Disclosed is a method for decentralized, real-time synchronization of Non-Linear Editor (NLE) timelines by mapping the OpenTimelineIO (OTIO) schema to Conflict-Free Replicated Data Types (CRDTs). The core innovation is the specific application of the Replicated Growable Array (RGA) algorithm (e.g., via Automerge) to manage the temporal sequence of clips in an OTIO Track. RGA avoids array indices, instead using persistent UUIDs and relative positioning ("Insert Clip B after UUID-A"). This mathematically guarantees convergence and solves the "index shifting" problem inherent in concurrent timeline edits, enabling offline-capable collaboration without central servers. The system defines a direct isomorphism between OTIO components and …

Morphogenetic Aiops (The Ktkn Regulator): Physics-Based Anomaly Detection And Homeostatic Control, Matthew D. Judson

Defensive Publications Series

Disclosed is the KTKN (Katechon) Regulator, a homeostatic AI for detecting precursor signals of failure in complex distributed systems using non-linear dynamical systems theory. The system detects Critical Slowing Down (CSD) by monitoring rising Variance and Autocorrelation. The core innovation is the definition and mitigation of "D-Term Tension," a novel failure mode where the Derivative term of a PID controller fights the system's natural CSD, interpreting noise as a trend and causing violent collapse (Hopf Bifurcation). The KTKN Regulator detects this tension (correlation coefficient $r > 0.7$) and intervenes by disabling the D-term to prevent collapse. The system utilizes Active Inference …

Vtc-Ktkn (Visual Token Compression - Katechon): Optimized Implementation And Integration, Matthew D. Judson

Defensive Publications Series

Disclosed is VTC-KTKN (Visual Token Compression - Katechon), an optimized implementation of visual token storage protocols within the TrueOS sovereign architecture. While the core concept of encoding static data into visual tokens (QR codes) and compressing them using video codecs (H.265) by exploiting temporal redundancy is known art (see: olow304/memvid), VTC-KTKN details novel improvements for archival integrity and edge-retrieval. Innovations include the mandatory use of QR Code Level H Error Correction (ECC) to guarantee data recovery against compression artifacts and bit-rot, and the utilization of a Product Quantized (PQ) FAISS index to reduce the RAM footprint of the search index, …

Wireless, Fully-Sealed Coxswain Audio Transmission System With Modular Boat Electronics, Wireless Charging, And No Exposed User-Side Electrical Connections, Glenn R. Engel

Defensive Publications Series

This defensive publication describes a fully sealed, wireless coxswain audio communication system designed for rowing shells, eliminating all exposed electrical connectors commonly found in traditional cox box systems. The solution integrates a waterproof wearable headset with digital MEMS microphone(s), a Bluetooth LE Audio transmitter, and Qi-based inductive charging within a connector-free housing. A boat-mounted receiver/amplifier module wirelessly receives audio, drives existing speaker wiring, and supplies inductive power to portable components. An optional detachable user-interface module provides visual feedback, system control, and additional charge-sharing capability through wireless power exchange. The system architecture enables complete wireless communication among all user-handled components, reducing …

Lead Sources Detected In Manila's Air After The Phase-Out Of Leaded Gasoline, Grace Betito, Paola Angela Bañaga, Maria Obiminda L. Cambaliza, Melliza Templonuevo Cruz, James Bernard Simpas, Mengli Chen, Jariya Kayee, Armin Sorooshian, Rachel A. Braun, Alexander B. Macdonald

Ateneo Atmospheric Physics Laboratory

Abstract

The global phase-out of leaded gasoline marked a major milestone in pollution control, yet modern uses of lead (Pb) continue to pose significant health risks, especially in low- and middle-income countries. In the Philippines, significant data gaps still exist despite increasing exposure. This study presents to the best of our knowledge, the first Pb isotopic fingerprinting of atmospheric aerosols in Metro Manila, Philippines, covering fine (0.56–1 μm) and coarse (5.6–10 μm) fractions, collected in 2018–2019. Results show that local sources, mainly industrial activities (45–62 %) and fossil fuel combustion (30–45 %), are now the dominant contributors to airborne Pb, …

Quality Improvement Project: Enhancing Nursing Documentation Of Patients’ Chief Complaints And Anatomical Site Markings In Radiographic Imaging Requests, Clara Odili

Doctor of Nursing Practice Projects

Incomplete or inaccurate radiographic imaging requests remain a persistent barrier to diagnostic accuracy and patient safety in urgent care settings. The purpose of this quality improvement (QI) initiative was to enhance nursing documentation of patients’ chief complaints and anatomical site markings through an evidence-based educational intervention targeting nurse-trained X-ray technicians. Guided by Benner’s Novice-to-Expert framework and principles of evidence-based practice, this project employed a pre- and post-intervention design over a two-week implementation period. Data was collected using structured knowledge and competency assessments. Post-intervention findings demonstrated substantial improvements in documentation accuracy, with mean knowledge scores increasing by approximately 30% and self-reported …