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Fashion wasn’t designed for people with special needs or disabilities – this designer wants to change that
Fashion wasn’t designed for people with special needs or disabilities – this designer wants to change that For people with muscular dystrophy, stroke, autism and other conditions, getting dressed can mean struggling with buttons, zippers or sensory sensitivities to fabric. At Will and Well, Singapore designer Elisa Lim creates adaptive clothes for people – even though she has earned little to no salary for the past nine years. From afar, it seemed like just a T-shirt – the simplest of...
Bridging CAD and Data-Driven Design: Attributed Feature Graphs for Engineering Design
Announce Type: new Abstract: Engineering design is an iterative, simulation-driven process where traditional workflows rely heavily on computationally expensive analyses such as finite element and computational fluid dynamics. Although data-driven methods have accelerated design evaluation and optimization, most existing geometric representations discard parametric and feature-level semantics, limiting their integration with CAD-driven design workflows and reducing model interpretability. To...
TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic Design
Announce Type: replace Abstract: Text-to-image models now generate graphic design at production scale, yet their supervision still comes primarily from photo-style preference datasets with a single overall verdict per comparison. Designers evaluate designs along several distinct axes (e.g., typography, layout, color harmony) that a single preference label collapses. We release \emph{TASTE} \textit{(Typography, Aesthetics, Spatial, Tone, Etc.)}, a multi-dimensional preference dataset in which...
Design-MLLM: A Reinforcement Alignment Framework for Verifiable and Aesthetic Interior Design
Announce Type: replace Abstract: Interior design is a requirements-to-visual-plan generation process that must simultaneously satisfy verifiable spatial feasibility and comparative aesthetic preferences. While recent multimodal large language models (MLLMs) offer a unified foundation for interpreting user intent and producing design rationales, our empirical analysis reveals a persistent contradiction in real-world deployment: MLLMs often produce layouts that are unbuildable and...
xSense Design Cards: Guiding the Design of Multisensory Experiences
arXiv:2606.08632v1 Announce Type: new Abstract: Designing multisensory experiences involves the deliberate combination of sensory elements to shape specific impressions for a given audience. Advances in technologies beyond audiovisual modalities now make it feasible to design across touch, taste, smell, and more. However, HCI still lacks the tools and shared vocabulary needed to systematically create and evaluate such experiences.
The Dodona Protocol: A Living Design Science Experiment in Oracle Design
arXiv:2606.08012v1 Announce Type: new Abstract: The oracle problem, broadly understood as the difficulty of reliably incorporating external information into blockchain-based systems, has been widely examined by scholars and practitioners. Recent comparative research has shown that several challenges of modern blockchain oracles, including attributability, accountability, integrity, and query design, mirror procedural and epistemic constraints already present in ancient oracular institutions...
DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators
arXiv:2606.06515v1 Announce Type: new Abstract: Transformer-based networks have emerged as prominent AI models with state-of-the-art performance, which potentially pave the way toward artificial general intelligence (AGI). However, their large sizes still hinder their efficient implementation, thus highlighting the need for alternate solutions to enable their energy-efficient acceleration. Recently, state-of-the-art works propose photonic transformer accelerators (PTAs) with significant...
Sustainability by Design in Decentralized Autonomous Organizations: An Empirical Review of Governance, Innovation, and Institutional Design
new Abstract: Recent innovation theories on economics remain largely grounded in assumptions of hierarchical firms and closed organizational boundaries, offering limited insight into how innovation unfolds within decentralized, digitally native organizations. Decentralized Autonomous Organizations (DAOs) represent an emerging form of innovation ecosystem characterized by blockchain-based transparency, open participation, and token-driven governance, in which sustainability can be embedded...
LLM Consortium for Software Design Refinement: A Controlled Experiment on Multi-Agent Collaboration Topologies
Announce Type: new Abstract: We present a controlled experiment evaluating 12 multi-agent LLM collaboration topologies for software architecture design. Using a $2\times2\times2$ factorial design (Authority $\times$ Roles $\times$ Dynamics), we conducted 520 experimental runs across 8 design tasks of varying complexity, with 5 repetitions each. Designs were evaluated on a 12-dimensional rubric by three independent automated evaluators (GPT-OSS 120B, Claude Opus 4.6, Claude Sonnet 4.6).
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