huashen218/convxai-cia-dataset huggingface dataset:
Title: LaserFactory: A Laser Cutter-based Electromechanical Assembly and Fabrication Platform to Make Functional Devices & Robots
Authors: family: Nisser
given: Martin; family: Liao
given: Christina Chen; family: Chai
given: Yuchen; family: Adhikari
given: Aradhana; family: Hodges
given: Steve; family: Mueller
given: Stefanie
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: printed electronics, robotics, personal fabrication, Human-computer interaction, rapid prototyping

Abstract: LaserFactory is an integrated fabrication process that augments a commercially available fabrication machine to support the manufacture of fully functioning devices without human intervention. In addition to creating 2D and 3D mechanical structures, LaserFactory creates conductive circuit traces with arbitrary geometries, picks-and-places electronic and electromechanical components, and solders them in place. To enable this functionality, we make four contributions. First, we build a hardware add-on to the laser cutter head that can deposit silver circuit traces and assemble components. Second, we develop a new method to cure dispensed silver using a CO2 laser. Third, we build a motion-based signaling method that allows our system to be readily integrated with commercial laser cutters. Finally, we provide a design and visualization tool for making functional devices with LaserFactory. Having described the LaserFactory system, we demonstrate how it is used to fabricate devices such as a fully functioning quadcopter and a sensor-equipped wristband. Our evaluation shows that LaserFactory can assemble a variety of differently sized components (up to 65g), that these can be connected by narrow traces (down to 0.75mm) that become highly conductive after laser soldering (3.2Ω/m), and that our acceleration-based sensing scheme works reliably (to 99.5% accuracy).
Title: Fabricaide: Fabrication-Aware Design for 2D Cutting Machines
Authors: family: Sethapakdi
given: Ticha; family: Anderson
given: Daniel; family: Sy
given: Adrian Reginald Chua; family: Mueller
given: Stefanie
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: personal fabrication, laser cutting

Abstract: Designers of machine-cut objects must often consider whether and how their design can be fabricated with their available materials. In contrast to tools that support preparing finished designs for fabrication, we investigate shortening the feedback loop between design creation and fabrication preparation. To this end, we present Fabricaide, a fabrication-aware tool that interleaves the processes of creating and preparing designs for fabrication. By providing live feedback on how parts should be placed onto material sheets, analyzing how much material is consumed, and alerting users when designs are infeasible, Fabricaide enables users to proactively tailor their design to their available material. Fabricaide achieves this with a custom packing algorithm that arranges parts onto material sheets at interactive speeds. Our qualitative user study shows how Fabricaide can support different workflows, encourage material-conscious design practices, and provide insights on how to further improve similar interfaces in the future.
Title: ChromoUpdate: Fast Design Iteration of Photochromic Color Textures Using Grayscale Previews and Local Color Updates
Authors: family: Wessely
given: Michael; family: Jin
given: Yuhua; family: Nuengsigkapian
given: Cattalyya; family: Kashapov
given: Aleksei; family: Qamar
given: Isabel P. S.; family: Tsetserukou
given: Dzmitry; family: Mueller
given: Stefanie
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: photochromic dyes., programmable textures, personal fabrication

Abstract: ChromoUpdate is a texture transfer system for fast design iteration. For the early stages of design, ChromoUpdate provides a fast grayscale preview that enables a texture to be transferred in under one minute. Once designers are satisfied with the grayscale texture, ChromoUpdate supports designers in coloring the texture by transitioning individual pixels directly to a desired target color. Finally, if designers need to make a change to the color texture already transferred, ChromoUpdate can quickly transition individual pixels from one color to a new target color. ChromoUpdate accomplishes this by (1) using a UV projector rather than a UV LED, which enables pixels to be saturated individually rather than resetting the entire texture to black, and (2) providing two new texture transfer algorithms that allow for fast grayscale previews and color-to-color transitions. Our evaluation shows a significant increase in texture transfer speed for both the grayscale preview (89%) and color-to-color updates (11%).
Title: Coupling Simulation and Hardware for Interactive Circuit Debugging
Authors: family: Strasnick
given: Evan; family: Agrawala
given: Maneesh; family: Follmer
given: Sean
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: debugging, PCB, simulation, analysis, testing, circuit

Abstract: Simulation offers many advantages when designing analog circuits. Designers can explore alternatives quickly, without added cost or risk of hardware faults. However, it is challenging to use simulation as an aid during interactive debugging of physical circuits, due to difficulties in comparing simulated analyses with hardware measurements. Designers must continually configure simulations to match the state of the physical circuit (e.g. capturing sensor inputs), and must manually rework the hardware to replicate changes or analyses performed in simulation. We propose techniques leveraging instrumentation and programmable test hardware to create a tight coupling between a physical circuit and its simulated model. Bridging these representations helps designers to compare simulated and measured behaviors, and to quickly perform analytical techniques on hardware (e.g. parameter-response analysis) that are typically cumbersome outside of simulation. We implement these techniques in a prototype and show how it aids in efficiently debugging a variety of analog circuits.
Title: KnitUI: Fabricating Interactive and Sensing Textiles with Machine Knitting
Authors: family: Luo
given: Yiyue; family: Wu
given: Kui; family: Palacios
given: Tomás; family: Matusik
given: Wojciech
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: stitch meshes, Machine knitting, smart textiles, wearable device

Abstract: With the recent interest in wearable electronics and smart garments, digital fabrication of sensing and interactive textiles is in increasing demand. Recently, advances in digital machine knitting offer opportunities for the programmable, rapid fabrication of soft, breathable textiles. In this paper, we present KnitUI, a novel, accessible machine-knitted user interface based on resistive pressure sensing. Employing conductive yarns and various machine knitting techniques, we computationally design and automatically fabricate the double-layered resistive sensing structures as well as the coupled conductive connection traces with minimal manual post-processing. We present an interactive design interface for users to customize KnitUI’s colors, sizes, positions, and shapes. After investigating design parameters for the optimized sensing and interactive performance, we demonstrate KnitUI as a portable, deformable, washable, and customizable interactive and sensing platform. It obtains diverse applications, including wearable user interfaces, tactile sensing wearables, and artificial robot skin.
Title: Thermoformed Circuit Boards: Fabrication of highly conductive freeform 3D printed circuit boards with heat bending
Authors: family: Hong
given: Freddie; family: Myant
given: Connor; family: Boyle
given: David E
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: 3D printed electronics, hybrid additive manufacturing, conductive filament

Abstract: Fabricating 3D printed electronics using desktop printers has become more accessible with recent developments in conductive thermoplastic filaments. Because of their high resistance and difficulties in printing traces in vertical directions, most applications are restricted to capacitive sensing. In this paper, we introduce Thermoformed Circuit Board (TCB), a novel approach that employs the thermoformability of the 3D printed plastics to construct various double-sided, rigid and highly conductive freeform circuit boards that can withstand high current applications through copper electroplating. To illustrate the capability of the TCB, we showcase a range of examples with various shapes, electrical characteristics and interaction mechanisms. We also demonstrate a new design tool extension to an existing CAD environment that allows users to parametrically draw the substrate and conductive trace, and export 3D printable files. TCB is an inexpensive and highly accessible fabrication technique intended to broaden HCI researcher participation.
Title: AccessibleCircuits: Adaptive Add-On Circuit Components for People with Blindness or Low Vision
Authors: family: Chang
given: Ruei-Che; family: Wang
given: Wen-Ping; family: Chiang
given: Chi-Huan; family: Wu
given: Te-Yen; family: Xu
given: Zheer; family: Luo
given: Justin; family: Chen
given: Bing-Yu; family: Yang
given: Xing-Dong
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Education Tools, Tangible User Interfaces, Accessibility, Universal Design, Circuit Prototyping

Abstract: In this paper, we propose the designs for low cost and 3D-printable add-on components to adapt existing breadboards, circuit components and electronics tools for blind or low vision (BLV) users. Through an initial user study, we identified several barriers to entry for beginners with BLV in electronics and circuit prototyping. These barriers guided the design and development of our add-on components. We focused on developing adaptations that provide additional information about the specific component pins and breadboard holes, modify tools to make them easier to use for users with BLV, and expand non-visual feedback (e.g., audio, tactile) for tasks that require vision. Through a second user study, we demonstrated that our adaptations can effectively overcome the accessibility barriers in breadboard circuit prototyping for users with BLV.
Title: Designing Metamaterial Cells to Enrich Thermoforming 3D Printed Object for Post-Print Modification
Authors: family: Ko
given: Donghyeon; family: Yim
given: Jee Bin; family: Lee
given: Yujin; family: Pyun
given: Jaehoon; family: Lee
given: Woohun
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: fabrication, metamaterial, hands-on deformation, thermoforming, 3D printing

Abstract: In this paper, we present a metamaterial structure called thermoformable cells, TF-Cells, to enrich thermoforming for post-print modification. So far, thermoforming is limitedly applied for modifying a 3D printed object due to its low thermal conductivity. TF-Cells consists of beam arrays that affluently pass hot air and have high heat transference. Through heating the embedded TF-Cells of the printed object, users can modify not only the deeper area of the object surface but also its form factor. With a series of technical experiments, we investigated TF-Cells’ thermoformability, depending on their structure’s parameters, orientations, and heating conditions. Next, we present a series of compound cells consisting of TF-Cells and solid structure to adjust stiffness or reduce undesirable shape deformation. Adapting the results from the experiments, we built a simple tool for embedding TF-Cells into a 3D model. Using the tool, we implemented examples under contexts of mechanical fitting, ergonomic fitting, and aesthetic tuning.
Title: Assembler3: 3D Reconstruction of Laser-Cut Models
Authors: family: Roumen
given: Thijs; family: Kommana
given: Yannis; family: Apel
given: Ingo; family: Lempert
given: Conrad; family: Brand
given: Markus; family: Brendel
given: Erik; family: Seidel
given: Laurenz; family: Rambold
given: Lukas; family: Goedecken
given: Carl; family: Crenzin
given: Pascal; family: Hurdelhey
given: Ben; family: Abdullah
given: Muhammad; family: Baudisch
given: Patrick
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: reuse, laser cutting, remixing, personal fabrication

Abstract: We present Assembler3 a software tool that allows users to perform 3D parametric manipulations on 2D laser cutting plans. Assembler3 achieves this by semi-automatically converting 2D laser cutting plans to 3D, where users modify their models using available 3D tools (kyub), before converting them back to 2D. In our user study, this workflow allowed users to modify models 10x faster than using the traditional approach of editing 2D cutting plans directly. Assembler3 converts models to 3D in 5 steps: (1) plate detection, (2) joint detection, (3) material thickness detection, (4) joint matching based on hashed joint "signatures", and (5) interactive reconstruction. In our technical evaluation, Assembler3 was able to reconstruct 100 of 105 models. Once 3D-reconstructed, we expect users to store and share their models in 3D, which can simplify collaboration and thereby empower the laser cutting community to create models of higher complexity.
Title: FastForce: Real-Time Reinforcement of Laser-Cut Structures
Authors: family: Abdullah
given: Muhammad; family: Taraz
given: Martin; family: Kommana
given: Yannis; family: Katakura
given: Shohei; family: Kovacs
given: Robert; family: Shigeyama
given: Jotaro; family: Roumen
given: Thijs; family: Baudisch
given: Patrick
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: lasercutting, structural reinforcement, Personal fabrication, structural analysis

Abstract: We present fastForce, a software tool that detects structural flaws in laser cut 3D models and fixes them by introducing additional plates into the model, thereby making models up to 52x stronger. By focusing on a specific type of structural issue, i.e., poorly connected sub-structures in closed box structures, fastForce achieves real-time performance (106x faster than finite element analysis, in the specific case of the wheelbarrow from Figure 1). This allows fastForce to fix structural issues continuously in the background, while users stay focused on editing their models and without ever becoming aware of any structural issues.In our study, six of seven participants inadvertently introduced severe structural flaws into the guitar stands they designed. Similarly, we found 286 of 402 relevant models in the kyub [1] model library to contain such flaws. We integrated fastForce into a 3D editor for lasercutting (kyub) and found that even with high plate counts fastForce achieves real-time performance.
Title: Developable Metamaterials: Mass-fabricable Metamaterials by Laser-Cutting Elastic Structures
Authors: family: Signer
given: Madlaina; family: Ion
given: Alexandra; family: Sorkine-Hornung
given: Olga
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Fabrication, Laser cutting, Shape modeling, Computational design, Developable surfaces, Metamaterials

Abstract: We propose a novel design of engineered, structured materials that leverages fast fabrication technologies, pushing them towards mass-fabrication. Specifically, our metamaterial is designed to be laser cut, to approximate the volumetric shape and allow for locally varying compliance. Traditional mechanical metamaterials consist of intricate cells arranged on a 3-dimensional grid, limiting them to 3D printing—which is slow. Our metamaterial is designed for laser cutting, which is drastically faster. Our structures are best described as ruffled strips of thin sheet material, such as paper, plastics, metals, etc. Users can interactively define the ruffles’ anisotropic stiffness directions and local density. Our computational design tool assists users by automatically optimizing the ruffle to fill the shape’s volume, and exporting the flat ruffle design ready for cutting. We demonstrate how such ruffled metamaterials can be utilized for, e.g., custom toys with locally varying compliance, custom packaging material, or lightweight formwork for architectural shells.
Title: U!Scientist: Designing for People-Powered Research in Museums
Authors: family: Obiorah
given: Mmachi God'sglory; family: Hammerman
given: James K. L.; family: Rother
given: Becky; family: Granger
given: Will; family: West
given: Haley Margaret; family: Horn
given: Michael; family: Trouille
given: Laura
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: museums, Citizen science, interactive tabletop displays

Abstract: Scientists have long sought to engage public audiences in research through citizen science projects such as biological surveys or distributed data collection. Recent online platforms have expanded the scope of what people-powered research can mean. Science museums are unique cultural institutions that translate scientific discovery for public audiences, while conducting research of their own. This makes museums compelling sites for engaging audiences directly in scientific research, but there are associated challenges as well. This project engages public audiences in contributing to real research as part of their visit to a museum. We present the design and evaluation of U!Scientist, an interactive multi-person tabletop exhibit based on the online Zooniverse project, Galaxy Zoo. We installed U!Scientist in a planetarium and collected video, computer logs, naturalistic observations, and surveys with visitors. Our findings demonstrate the potential of exhibits to engage new audiences in collaborative scientific discussions as part of people-powered research.
Title: PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective Feedback
Authors: family: Bu
given: Yaohua; family: Ma
given: Tianyi; family: Li
given: Weijun; family: Zhou
given: Hang; family: Jia
given: Jia; family: Chen
given: Shengqi; family: Xu
given: Kaiyuan; family: Shi
given: Dachuan; family: Wu
given: Haozhe; family: Yang
given: Zhihan; family: Li
given: Kun; family: Wu
given: Zhiyong; family: Shi
given: Yuanchun; family: Lu
given: Xiaobo; family: Liu
given: Ziwei
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Audio-Visual Corrective Feedback, Exaggerated feedback, Computer-Aided Pronunciation Training System, Language Learning

Abstract: Second language (L2) English learners often find it difficult to improve their pronunciations due to the lack of expressive and personalized corrective feedback. In this paper, we present Pronunciation Teacher (PTeacher), a Computer-Aided Pronunciation Training (CAPT) system that provides personalized exaggerated audio-visual corrective feedback for mispronunciations. Though the effectiveness of exaggerated feedback has been demonstrated, it is still unclear how to define the appropriate degrees of exaggeration when interacting with individual learners. To fill in this gap, we interview 100 L2 English learners and 22 professional native teachers to understand their needs and experiences. Three critical metrics are proposed for both learners and teachers to identify the best exaggeration levels in both audio and visual modalities. Additionally, we incorporate the personalized dynamic feedback mechanism given the English proficiency of learners. Based on the obtained insights, a comprehensive interactive pronunciation training course is designed to help L2 learners rectify mispronunciations in a more perceptible, understandable, and discriminative manner. Extensive user studies demonstrate that our system significantly promotes the learners’ learning efficiency.
Title: Providing Adaptive Feedback in Concept Mapping to Improve Reading Comprehension
Authors: family: Wang
given: Shang; family: Walker
given: Erin
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: reading comprehension, intelligent learning environments, concept mapping, comparative strategies

Abstract: Previous research has demonstrated the benefits of applying comparative strategies while learning from informational texts, where students identify key concepts and then attempt to establish relationships between those concepts. Concept mapping is one activity that can prompt students to use comparative strategies, but not all students benefit from this activity without support. This work presents an intelligent tutoring system for concept mapping that facilitates the development of comparative strategies through diagnostic feedback that responds to the quality of students’ concept mapping process and map correctness. The novelty of the system lies in the combination of outcome-based feedback methods typical in concept mapping with adaptive process-based evaluation. In a lab study with 46 college students, we evaluate the effect of this combined adaptive support compared to solely process-based support and no support. Results suggested that the combined feedback approach showed promise at improving students’ use of comparative strategies and learning outcomes.
Title: Exploring Generative Models with Middle School Students
Authors: family: Ali
given: Safinah; family: DiPaola
given: Daniella; family: Lee
given: Irene; family: Hong
given: Jenna; family: Breazeal
given: Cynthia
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Generative Adversarial Networks, Generative Machine Learning, Artificial Intelligence, AI Education

Abstract: Applications of generative models such as Generative Adversarial Networks (GANs) have made their way to social media platforms that children frequently interact with. While GANs are associated with ethical implications pertaining to children, such as the generation of Deepfakes, there are negligible efforts to educate middle school children about generative AI. In this work, we present a generative models learning trajectory (LT), educational materials, and interactive activities for young learners with a focus on GANs, creation and application of machine-generated media, and its ethical implications. The activities were deployed in four online workshops with 72 students (grades 5-9). We found that these materials enabled children to gain an understanding of what generative models are, their technical components and potential applications, and benefits and harms, while reflecting on their ethical implications. Learning from our findings, we propose an improved learning trajectory for complex socio-technical systems.